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DELCOS Financial Infrastructure

Payment Reconciliation

Payment Reconciliation

Payment reconciliation proves whether independently generated records describe the same economic event and whether their amounts, states, timing and ownership agree. Its architecture assigns authority to each financial fact, preserves identity across systems, measures completeness and moves every break to evidenced closure.

Source records

Persistent identifiers

Reconciliation architecture

Records, breaks and exception resolution

States and timing

Matching rules

Exception resolution

Control evidence

Authority map

What Payment Reconciliation Proves

A payment creates records across systems that observe different parts of the same economic event. The originating platform records intent and authorisation. A processor records execution. A payment rail reports acceptance and settlement status. A bank reports account activity. Internal ledgers and accounting systems record the resulting financial effects.

Payment reconciliation connects these records and tests six control assertions:

  • Existence: each recorded payment corresponds to a real instruction, movement or financial obligation.
  • Completeness: the reconciled population contains every record expected within the defined horizon.
  • Accuracy: amounts, currencies, fees and references agree with the applicable rules.
  • State consistency: each system reports a compatible stage of the payment lifecycle.
  • Temporal alignment: booking, value and settlement dates fall within an explained timing relationship.
  • Resolution: every remaining variance has a classification, owner, action and closure record.
Process Question it answers Primary evidence
Reconciliation Do independently generated records describe the same event, and can every variance be explained? Linked records, matching results, control totals, exception history and approval
Settlement Has value transferred through the applicable settlement mechanism? Settlement-system or settlement-agent status
Posting Has the financial effect entered the relevant ledger? Journal entry, posting reference and ledger state
Balancing Do selected totals or positions agree? Control totals and balance reports
Accounting close Are period accounts complete, reviewed and ready for reporting? General ledger, adjustments, certifications and close controls

Beyond agreement of selected balances, the control must prove transaction identity, population completeness, compatible states, bounded timing differences and evidenced exception closure.

One Payment, Multiple Records

Across the payment lifecycle, each system observes a bounded part of the event. Together, their records form an evidence chain from commercial intent to cash movement and financial recognition.

Record layer Typical record Financial fact represented
Business or product system Order, invoice, payout request or transfer request The commercial purpose, parties, amount and requested execution
Payment orchestration layer Payment object, routing decision and execution attempt The instruction accepted for processing and the route selected
Processor or payment rail Message, acknowledgement and status event Network acceptance, rejection, processing state and external references
Settlement mechanism or agent Settlement status, position or settlement report Movement of the applicable settlement asset
Bank account reporting Account entry, statement line or intraday report Booked cash movement, value date and bank reference
Operational ledger Journal, balance movement and account position The internal financial effect assigned to customers, merchants or platform accounts
General ledger Accounting entry and period classification Recognition in the organisation’s financial accounts
Reconciliation control layer Match result, control total, exception case and approval The relationship between records and the evidence supporting closure

Moving a record into another database carries its lineage forward; it does not create independent evidence. Only an observation generated by another participant or system adds such evidence: a processor acknowledgement proves message handling, a settlement report proves the reported settlement state, a bank account entry proves the bank’s recognition of the cash movement, and an internal ledger proves the organisation’s own financial allocation.

To prove the relationships across these records, reconciliation represents each payment as a record graph: nodes contain records, while edges identify the relationships that the control must establish.

Each reconciliation edge specifies:

  • the facts being compared;
  • the authoritative source for each fact;
  • the identifiers that connect the records;
  • the expected state and timing relationship;
  • the applicable tolerance or aggregation rule;
  • the reconciliation horizon;
  • the owner of any resulting break;
  • the evidence required for closure.

With authority assigned at the level of each financial fact, the same graph can reconcile a bank entry to the ledger and extend across additional systems without granting every record equal authority.

Authority Belongs to the Financial Fact

Reconciliation requires an authority map. The map assigns each financial fact to the system or participant entitled to establish it. A system may hold authority for one fact and provide supporting evidence for another.

Financial fact Authoritative record Supporting evidence
Commercial intent Approved order, invoice, payout request or transfer mandate User action, contract, approval and authentication records
Instruction submitted Originating payment object or transmitted payment message Orchestration log, idempotency record and delivery confirmation
Instruction accepted or rejected Processor or payment-rail response Acknowledgement, status event and external reference
Settlement state Settlement system, settlement agent or account-holding institution Settlement report, position record and final status message
Booked cash movement Account-servicing institution’s account record Intraday report, statement entry and bank reference
Customer or merchant balance Internal operational ledger Journals, account movements and posting metadata
Accounting classification General ledger under the organisation’s accounting policy Subledger mapping, journal approval and close evidence
Exception resolution Approved case record Investigation history, correction records and closure evidence

Authority remains bounded by the fact represented. A processor’s completed status establishes completion within the processor’s domain. Bank reporting establishes the account entry. A settlement mechanism establishes its reported settlement state. The operational ledger establishes the organisation’s allocation of the resulting financial effect.

The ledger architecture defines where internal posting authority sits. Reconciliation architecture defines how ledger records prove agreement with external and adjacent records.

Derived systems can normalize data, calculate matches and present consolidated views. Their evidence retains lineage to the originating record. The reconciliation control should preserve:

  • source system and participant;
  • source record identifier;
  • record version and ingestion time;
  • business, booking, value and settlement dates;
  • original and normalized values;
  • transformation rules;
  • corrections and superseded versions;
  • the authority rule applied to each compared field.

When records disagree, the authority map determines which fact requires correction and which record represents the break. Resolution then follows the approved posting, adjustment or external-investigation process. This prevents a matching engine from silently converting convenient data into financial authority.

Identity Across the Record Chain

Reliable transaction reconciliation uses an identifier hierarchy to connect one economic event across issuers and control boundaries. Within that hierarchy, each identifier belongs to a specific issuer, record type and control boundary.

Identifier Issuing layer Relationship established
Business reference Order, billing or treasury system Connects the payment to its commercial purpose
Payment object ID Payment platform or orchestration layer Groups the instruction, attempts, statuses and internal actions
Idempotency key Originating API or execution service Connects repeated requests to one intended execution
End-to-end reference Originator or initiating institution Carries identity across participating payment systems
Network or rail reference Processor, network or payment rail Identifies the instruction within an external processing domain
Account-entry reference Account-servicing institution Identifies the booked debit or credit
Ledger posting reference Operational ledger Connects journals and balance effects to the payment object
Exception reference Case-management system Connects investigation, communication, evidence and resolution

From one commercial obligation, several execution attempts may emerge, and a single payment may generate principal, fee and foreign-exchange entries; at a different grain, one batch or net settlement entry may represent many underlying transactions. Refunds and reversals create new financial events with explicit relationships to the original payment.

To represent these changes in grain, the identity model records both identifiers and relationship types:

  • attempt generated from payment;
  • instruction represents obligation;
  • settlement entry settles instruction;
  • fee relates to payment;
  • account entry corresponds to settlement;
  • ledger posting records financial effect;
  • reversal or refund relates to original event;
  • aggregate record contains underlying transactions.

Where a direct identifier exists, it provides the strongest deterministic link. Otherwise, composite matching connects records through amount, currency, account, counterparty, direction, date and an approved time window; the resulting match stores the rule version, confidence level and evidence used.

Identifier availability varies across rails and participants. In Fedwire Funds Service ISO 20022 messages, EndToEndId supports beneficiary reconciliation, while NOTPROVIDED remains an accepted field value. Fedwire’s IMAD and OMAD references identify messages within the service. The reconciliation record stores these identifiers together with their namespaces and issuers. Federal Reserve Financial Services

Within Swift’s case-management model, the Unique End-to-end Transaction Reference locates the payment and an Exception Investigation Reference identifies the related investigation. Assigning separate references distinguishes payment identity from case identity while linking the two records. Swift

Inside one execution boundary, idempotency protects execution from duplicate requests. Across rail, bank and ledger boundaries, reconciliation links the resulting records and tests their financial effects independently.

States, Dates and Reconciliation Horizons

As a payment moves through several systems, each system applies states within its own responsibility. Reconciliation maps them to a shared lifecycle while keeping their original meanings intact.

State class Fact represented Reconciliation treatment
Requested A party created a payment intent Expect an authorisation, cancellation or expiry outcome
Authorised The applicable approval control passed Expect an execution instruction or documented release decision
Submitted The instruction left the originating boundary Expect delivery, acceptance or rejection evidence
Accepted A processor or rail admitted the instruction Keep the event open for processing and settlement
Pending Processing continues or awaits a condition Monitor age, dependencies and the next expected event
Settled The relevant mechanism reports settlement completion Test the related cash, position and ledger records
Returned or reversed A subsequent event offsets or returns value Create a linked financial event and preserve the original history
Posted A ledger recorded the internal financial effect Test the journal against the applicable external evidence
Reconciled and closed Required assertions passed or an approved resolution cleared the break Retain the match, evidence, approval and closure time

Within each source boundary, state labels carry system-specific meanings: a processor’s completed state may describe successful processing, while an account entry records cash booking and a settlement system reports settlement completion. The state map records which combinations are compatible and which combinations create a break.

Through ISO 20022 status reporting, Fedwire Funds Service illustrates this sequence. A pacs.002 message may first report PDNG and later report ACSC or RJCT. While the authoritative outcome is pending, the reconciliation control keeps the payment open. Federal Reserve Financial Services

01

Every record carries its own clock

Time attribute Meaning
Event time When the underlying action occurred
Processing time When a system handled the event
Settlement time When the settlement mechanism recorded completion
Booking date The accounting date assigned by the account servicer
Value date The date from which the entry affects value or interest
Ledger posting time When the internal journal became effective
Ingestion time When the reconciliation platform received the record
Correction time When a source amended or superseded the record

Even when two systems report accurate records, they can occupy different stages of the same event; the expected time window, source calendar, time zone and state transition together establish whether that timing relationship is valid.

02

The reconciliation horizon

A reconciliation horizon is the latest point for which the control can assert that the required records have arrived and the defined tests have run.

The horizon records:

  • the covered business or settlement period;
  • the data watermark reached by each source;
  • the expected delivery schedule;
  • accepted lateness and calendar rules;
  • outstanding pending states;
  • files, messages or sequences still expected;
  • the time at which lateness becomes an exception.

A recent timestamp establishes freshness. Completeness requires sequence checks, control totals or source confirmations that prove the expected population has arrived; only then can the timestamp contribute to the horizon.

Until the later record arrives, an expected resolution date keeps each known timing difference visible. Unexplained lateness becomes a break. Continuous reconciliation may issue a bounded interim assertion, while the period closes only after separate evidence confirms the required population and outcomes.

Matching Models and Tolerances

A matching model defines the relationship expected between records. Its design reflects the economic event, the recording grain of each system and the way value moves through the payment chain.

Matching model Typical use Required proof
One-to-one One payment instruction corresponds to one processor, bank or ledger record Stable identifiers, compatible states, aligned amounts, currency and timing
One-to-many One payment creates principal, fee, tax, FX or split-settlement records Complete allocation of the source amount across linked components
Many-to-one A batch of transactions settles through one bank entry or processor payout Batch identity, membership, control totals and settlement allocation
Many-to-many Several source transactions produce several settlement, fee or adjustment records A bounded group, explicit allocation logic and agreement of all group totals
Aggregate or net A rail, processor or correspondent settles a net position for a defined period Population completeness, opening position, movements, adjustments and closing position

The transaction grain describes the smallest economic event represented by a source. The settlement grain describes the unit in which cash or positions move. Reconciliation bridges the difference between them.

For example, a processor may combine hundreds of merchant transactions, deduct fees and reserves, then produce one bank credit. The control connects the settlement entry to the complete underlying population through a payout or batch record. Agreement of the final amount establishes value consistency. Batch membership and control totals establish population completeness.

01

Matching rules form an evidence hierarchy

Rules should apply the strongest available evidence first:

  1. Direct deterministic match: authoritative identifiers and financial attributes agree.
  2. Composite deterministic match: an approved combination of amount, currency, account, counterparty, direction and date uniquely identifies the relationship.
  3. Structural group match: batch membership or allocation rules connect several records to one economic result.
  4. Tolerated match: the relationship is unique and the observed variance falls within a documented threshold.
  5. Candidate match: evidence indicates a possible relationship and keeps the item open for review and approval.

Each rule has a version, effective date, applicable products, currencies, rails and source systems. The match result records the rule used, the records consumed, the values compared and the time of execution.

Record-consumption controls ensure that each authoritative movement contributes to one approved match or allocation. An explicit split rule can allocate a record across several components while preserving the original amount and the remaining open balance.

When several candidates satisfy the same rule, the result becomes an ambiguity exception. A uniqueness test therefore forms part of deterministic matching.

02

Tolerances represent known financial mechanisms

A tolerance defines an accepted relationship between values. Each tolerance carries a documented reason and control owner.

Tolerance dimension Architecture rule
Amount Define an absolute value, percentage or currency-specific minor-unit threshold
Time Apply an approved window using source calendars, cut-offs, time zones and operating days
Foreign exchange Specify the rate source, quotation basis, fixing time, spread and rounding method
Fees Apply the contractual tariff, charging method, currency and tax treatment
Quantity or count Define expected record counts for batches, files or settlement groups
State Permit only lifecycle combinations classified as compatible by the state map

A tolerated match retains the original values, normalized values, observed variance, applicable threshold and rule version. This makes the reason for agreement reproducible.

Matching tolerance determines whether records may be classified as aligned. Ledger adjustment, write-off and accounting materiality remain governed by their own approval policies.

03

Complex events retain explicit relationships

Partial settlements keep the original obligation open for the remaining amount. Installments, split payouts and staged releases receive allocation records that connect every component to the originating event.

Fees and foreign-exchange effects remain separate financial facts. Their relationship to the payment is recorded through an expected pricing or conversion rule.

Returns, reversals and refunds create linked events with their own identifiers, states and settlement evidence. The original payment history remains intact.

Corrections supersede a source record through versioned lineage. The reconciliation engine reruns affected matches, records the prior result and identifies any downstream cases reopened by the correction.

This structure allows automation to close uniquely evidenced relationships while routing incomplete, ambiguous and policy-sensitive results into the exception lifecycle.

The Reconciliation Control Flow

Each versioned control run defines its scope, sources, reconciliation horizon, rules and accountable owner. Evidence produced at every stage contributes to the final control assertion.

Stage Control purpose Evidence produced
1. Ingest Acquire records from each required source Original payloads, file manifests, message sequences, receipt times and source acknowledgements
2. Validate Confirm that data is readable, structurally valid and internally consistent Schema results, duplicate checks, sequence checks, record counts and control totals
3. Normalize Represent comparable facts through a canonical data model Field mappings, normalized values, transformation lineage and rule versions
4. Establish completeness Determine whether the expected population has arrived within the reconciliation horizon Source watermarks, delivery status, sequence coverage and population totals
5. Match Apply the approved identifier, grouping and tolerance rules Match groups, consumed records, compared values, variances and confidence classification
6. Classify Assign every unmatched or inconsistent result to a defined break category Break type, severity, financial exposure, owner and target resolution time
7. Resolve Obtain evidence, correct records or complete the required financial action Investigation history, source corrections, postings, external responses and rerun results
8. Approve Confirm that the resolution satisfies the applicable control policy Reviewer identity, decision, approval time and supporting evidence
9. Close Preserve the completed assertion and update control reporting Closure record, evidence pack, final status, ageing result and metric updates

01

Ingestion preserves the source record

At ingestion, the control layer stores the source payload or a verifiable reference together with the source system, delivery channel, record version and receipt time. For file-based sources, it also records filenames, sequence numbers, checksums, expected schedules and trailer totals; for event streams, it records offsets or equivalent source positions.

Before financial matching begins, validation identifies malformed records, duplicate deliveries, broken sequences and incompatible control totals. A missing or rejected input creates a completeness exception that stays visible within the control scope.

Normalization converts source-specific fields into comparable financial facts while keeping the original representation available. Currency codes, signs, dates, account identifiers, references and state labels follow versioned transformation rules, and lineage links every normalized value to its source field and transformation.

02

Completeness precedes agreement

Before testing agreement, the control establishes which records should exist. Message sequences, source manifests, transaction counts, batch totals, opening positions or delivery schedules may establish the expected population.

As records arrive, matching can run continuously. The reconciliation horizon records the latest complete point reached by every required source and marks the boundary of each formal control assertion.

03

Controls operate at several levels

Control level Assertion
Transaction Individual economic events connect across systems with valid identity, amount, state and timing
Batch or settlement group Every underlying record belongs to the expected group and the group reconciles to its settlement result
Balance or position Opening position, reconciled movements, adjustments and closing position form a complete roll-forward

At the transaction level, matching establishes identity; at the batch level, control establishes membership and aggregation; at the position level, the opening balance, movements, adjustments and closing balance establish financial continuity across the covered period.

04

Resolution changes records through governed actions

Depending on its cause, resolving a break may call for a missing source record, corrected reference, external investigation, ledger posting, fee allocation, reversal or approved accounting adjustment. The resolution path records that action in the system holding authority for the affected fact.

Where financial or policy impact calls for independent approval, manual actions carry maker-checker control. Rule changes, tolerance changes and bulk closures follow their own effective-dating and approval process.

If a late arrival or corrected source record changes the available evidence, the control triggers a targeted replay of affected reconciliation edges and records the previous result, the event that caused reassessment and the new outcome. Dependent batches, positions and closed periods receive an explicit impact assessment.

Closure follows only after the authorised action and rerun resolve the failed assertion. The closed case links the source data, original break, root cause, financial effect, corrective action, prior and new control results, reviewer, supporting records and final closure decision.

Breaks and the Exception Lifecycle

A break records that a reconciliation assertion has failed or remains unproven. An exception case is the stateful control record used to investigate that break, assign responsibility, complete corrective action and preserve closure evidence.

Break class Assertion affected Typical condition
Completeness The expected population has arrived Missing file, sequence gap, absent transaction or incomplete batch
Identity Records refer to the same economic event Missing reference, ambiguous candidates or broken lineage
Amount or currency Financial values agree under the applicable rule Principal variance, currency mismatch, unexplained fee or FX difference
State Systems report compatible lifecycle stages Processor completion with absent settlement evidence or ledger posting
Timing Records fall within the expected time relationship Late statement entry, delayed settlement event or missed cut-off
Duplicate Each economic event and financial effect appears once Repeated instruction, duplicated source delivery or repeated posting
Allocation or aggregation Components reconcile to the grouped result Incomplete payout membership, incorrect netting or residual amount
Authority or lineage Each fact comes from an approved source with reproducible transformation Conflicting source records, superseded version or undocumented data transformation
Control execution The reconciliation process ran with approved data and rules Failed job, incomplete rule deployment or configuration error

At detection, break classification records the failed assertion. As investigation progresses, root-cause classification records the mechanism that produced it. One missing bank file may create thousands of transaction-level completeness breaks while representing one delivery failure.

The architecture can group related breaks into one case when they share a source event, owner and corrective action. Every underlying break retains its financial value, status and relationship to the grouped case.

01

Every exception follows a controlled lifecycle

Case state Required action Exit evidence
Detected Create the break from a failed control assertion Control run, affected records, rule and detection time
Triaged Confirm classification, severity and financial exposure Validated break type, scope and priority
Assigned Route the case to the party able to resolve the affected fact Named owner, target time and escalation path
Investigating Establish the cause and collect supporting records Investigation history, queries, responses and root-cause hypothesis
Action pending Complete the required source correction, posting, external response or operational action Action reference, accountable party and expected completion time
Revalidated Rerun the affected control with corrected or newly arrived evidence New match result, restored completeness or confirmed residual variance
Approved Confirm that the action and evidence satisfy policy Reviewer decision, approval time and any residual exposure
Closed Preserve the final result and update control reporting Closure reason, evidence pack, root cause and financial outcome
Reopened Restore an affected case after new information or a source correction changes the result Reopening event, impact assessment and renewed ownership

The case record preserves every transition, actor, timestamp, note, attachment and linked financial action. Status changes follow defined permissions. Corrections and approvals retain the previous values and decision history.

02

Ownership follows authority to resolve

The resolution owner should control the system, relationship or operational action capable of correcting the affected fact.

A source-data owner resolves missing or malformed records. A payments team handles instruction and processor-state issues. A treasury or banking-operations team investigates account entries and settlement reports. A ledger owner corrects internal postings. An external bank or processor supplies evidence within a managed third-party dependency.

The reconciliation control owner retains accountability for classification, ageing, escalation, revalidation and evidenced closure. An external dependency therefore keeps an internal owner and an active escalation path.

Severity reflects the financial and control consequence of the break:

  • value and currency exposure;
  • effect on customer or safeguarded funds;
  • settlement and liquidity impact;
  • number of affected records;
  • accounting or regulatory deadline;
  • customer impact;
  • recurrence and systemic scope;
  • availability of independent evidence.

From detection through resolution, the case records detection time, assignment time, response target, resolution target and total age. A workflow SLA may include an approved pause for an external dependency. Total age and financial exposure remain visible throughout the waiting period.

03

Resolution requires evidence from the authoritative boundary

A case can resolve through:

  • arrival of an expected record within its governed timing window;
  • correction of source data;
  • completion or reversal of a ledger posting;
  • allocation of a fee, FX effect or settlement component;
  • confirmation from a bank, processor or payment rail;
  • correction of a matching or transformation rule;
  • an approved financial adjustment under the applicable policy.

Revalidation reruns the original assertion against the corrected evidence. Closure then records the resulting match, completeness result or approved residual treatment.

A recurring root cause creates a control-improvement action with its own owner and due date. Case closure addresses the individual break. Root-cause remediation addresses the process, interface or rule that produced the population of breaks.

04

External investigations are becoming structured case records

Swift’s 2026 Case Management rollout illustrates the shift from bilateral, message-by-message investigation toward centrally orchestrated case handling. Case Orchestrator uses the UETR, smart routing and end-to-end tracking to connect ISO 20022 camt.110 investigation requests with camt.111 responses.

Under Swift’s published transition plan, institutions need to support receipt of camt.110 requests through Case Management from November 2026, with in-flow translation supporting continued legacy processing during the transition. Swift plans community-wide use of Case Orchestrator and ISO 20022 investigation messages from November 2027. Swift

The reconciliation architecture links the external investigation case to the internal break, payment identifiers, accountable institution, response status and final resolution. This preserves one evidence chain from detected variance to externally supported closure.

Continuous Reconciliation Across a Hybrid ISO 20022 Stack

The migration of cross-border payment instructions to ISO 20022 reached its principal November 2025 milestone. The wider reconciliation environment remains hybrid. Account reporting, exceptions, investigations and internal systems follow separate migration schedules and represent financial events at different levels of detail.

Control layer Current condition Reconciliation treatment
Payment instructions CBPR+ ISO 20022 messages, with contingency conversion for remaining legacy processing Preserve the original instruction, any translated representation, UETR, schema version and network evidence
Payment statuses Incremental acknowledgements and lifecycle updates Apply an ordered state map and retain every transition
Account reporting camt.052, camt.053 and camt.054 coexist with legacy MT reporting until the planned end of coexistence in SR2028 Normalize comparable facts while retaining message-level lineage
Exceptions and investigations camt.110 and camt.111, Swift Case Management and transitional MT handling Connect the external investigation to the internal exception case
Internal ledgers and operations systems Proprietary records, states and calendars Map each internal record to the applicable external financial fact

Swift’s June 2026 roadmap distinguishes completed payment-instruction migration from the continuing transition of reporting and investigation messages. The control architecture therefore treats ISO 20022 adoption as a set of related migrations rather than one completed format change. Swift CBPR+ roadmap

01

Semantic normalization preserves the original meaning

A canonical model makes fields comparable across sources. It does not replace the source message or confer authority on a transformed value.

For every normalized record, the architecture retains:

  • the original source payload or a verifiable reference;
  • message type, business service and schema version;
  • sender, receiver and transport path;
  • source field names and namespaces;
  • original and normalized values;
  • the transformation and code-list versions;
  • translation or truncation indicators;
  • validation results and processing time.

When an ISO 20022 message embeds or derives a legacy representation, the reconciliation record preserves both forms and the translation lineage between them. A field absent from the legacy form remains distinguishable from a field supplied by the originating party.

02

Continuous reconciliation produces progressive control states

Control state Assertion supported
Received A source record arrived and its origin is known
Validated Structure, sequence and internal control totals passed
Normalized Comparable financial facts were derived with retained lineage
Provisionally matched Available records support a unique relationship, while required later evidence remains outstanding
Settlement-confirmed The authoritative settlement evidence arrived and agrees
Horizon-complete Every required source reached the defined watermark for the control period
Closed The applicable assertions passed or all remaining breaks reached approved, evidenced resolution

Each transition records the evidence available at that time. A provisional match reduces investigation work but does not assert final settlement or population completeness.

03

Continuous rails and reporting periods use different clocks

TIPS settles instant payments in central bank money on a 24/7/365 basis. Financial positions and formal reports still use defined accounting and operational boundaries. The TARGET Services Annual Report, for example, reports TIPS activity continuously while applying a defined end-of-business-day snapshot for T2-related liquidity reporting. European Central Bank: What is TIPS? TARGET Services Annual Report 2025

Clock Boundary represented
Rail clock When the payment system accepts, processes and settles an instruction
Source clock When each participant produces a message, report or statement
Ledger clock When the organisation recognizes the financial effect
Control clock When the reconciliation architecture can make a bounded completeness assertion

The architecture records these clocks separately. It does not infer completeness from the uninterrupted availability of the rail.

04

Event controls and periodic assertions work together

Event-driven controls can:

  • validate each incoming message;
  • connect status changes to the payment object;
  • detect duplicates and incompatible transitions;
  • create or clear breaks as evidence arrives;
  • update exposure and ageing in near real time.

Periodic controls can:

  • confirm file and sequence completeness;
  • reconcile batches, settlement groups and positions;
  • establish source watermarks;
  • test opening-to-closing balance continuity;
  • approve a defined business or accounting period.

The two modes share the same record graph, rules and exception cases. Periodic control does not repeat the transaction history; it establishes that the event population is complete for the stated horizon.

05

Late, corrected and out-of-order records trigger controlled replay

Each event retains event or effective time, source processing time, ingestion time, sequence position, version and correction status. The engine orders financial meaning by approved source rules rather than arrival time alone.

A late or corrected record triggers a targeted replay of affected transaction, batch and position controls. Replay preserves the former match, identifies the initiating event, applies the effective rule version and records the resulting state. A correction that affects an approved horizon generates an impact assessment and can reopen the relevant exception or attestation.

06

Investigation migration requires dual-format case continuity

From November 2026, financial institutions must be able to receive camt.110 investigation requests through Case Management; in-flow translation can carry an embedded MT 199 for legacy handling. From November 2027, eligible institutions are scheduled to exchange camt.110 and camt.111 through Case Management without in-flow translation for exceptions and investigations. Swift ISO 20022 Exceptions and Investigations FAQ

During the transition, the internal case preserves:

  • payment identity and UETR;
  • external investigation reference;
  • original and translated messages;
  • sender, receiver and routed participant;
  • request, response and escalation states;
  • the relationship between external case status and internal break status;
  • evidence supporting resolution and closure.

Continuous reconciliation therefore combines low-latency event processing with explicit completeness boundaries. ISO 20022 improves the available structure, while source authority, semantic lineage, watermarks, replay and governed closure determine the strength of the reconciliation assertion.

BaaS and Custodial Account Reconciliation

Banking-as-a-Service and custodial account models divide records among the bank, middleware provider, fintech and payment processors. An omnibus or for-benefit-of account may hold pooled cash for many end users while the beneficial-owner detail sits outside the bank’s core deposit system.

Reconciliation must prove the pooled cash balance, the complete allocation of that balance and the ability to reconstruct the allocation if an external subledger or service becomes unavailable.

Record layer Financial fact represented
End-user platform Customer instruction, displayed balance and product state
Program or middleware ledger Beneficial-owner interest, pending activity, holds and allocation
Processor or payment network Transaction execution, status and external reference
Bank custodial account Booked pooled cash movement and account balance
Bank control and accounting records Deposit liability, settlement position and accounting classification
Reconciliation case layer Breaks, ownership, investigation, correction and closure evidence

The federal banking agencies’ July 2024 joint statement identifies risks created when banks depend on third parties for transaction systems of record, payment processing and access to end-user data. It reiterates that using a third party does not diminish the bank’s responsibility for operating safely and complying with applicable requirements. Federal Reserve, FDIC and OCC joint statement

01

One pooled account requires several proofs

At an approved horizon, the architecture tests:

Pooled account balance = supported beneficial-owner interests + identified timing items + open breaks

Reconciliation edge Assertion
Bank account to program control account The external cash balance agrees with the program’s pooled control balance
Program control account to beneficial-owner population Every unit of pooled cash is allocated to a supported owner, defined timing item or open break
Beneficial-owner transaction to processor record Each debit or credit corresponds to an executed payment event
Processor settlement to bank entry External execution settles into the expected pooled-account movement
Opening to closing ownership Opening interests, activity and corrections explain the closing population
Program allocation to bank allocation The bank can obtain or reconstruct the ownership data required for its control purpose

Agreement of the pooled bank balance alone does not prove the allocation. Agreement of the beneficial-owner subledger alone does not prove that cash exists at the bank.

02

Balance states remain distinct

Balance state Meaning
Settled beneficial-owner balance Value supported by completed cash movement and the approved allocation rule
Pending incoming Expected value not yet supported by settlement evidence
Pending outgoing An instruction or obligation awaiting completion
Reserved or held Value unavailable under an explicit product, risk or legal condition
Available balance The amount the product permits the customer to use
Ledger balance The sum represented by the relevant postings, independent of availability logic

The ownership roll-forward applies the state rules consistently:

Opening ownership position + recognised credits − recognised debits ± approved corrections = closing ownership position

Pending, available and settled values remain separately reportable. The architecture does not use an application’s displayed balance as a substitute for the financial allocation record.

03

Timing variances receive bounded treatment

Known timing differences arise from cut-offs, pending card activity, ACH returns, chargebacks, processor payout schedules, weekends, statement production and delayed status events.

Each timing item records:

  • the originating event and affected owner;
  • amount, currency and current state;
  • the expected external record;
  • the rule that permits the timing difference;
  • an expected resolution time;
  • financial exposure and ageing;
  • the condition that converts the item into a break.

The FDIC’s October 2024 proposal would require covered institutions to reconcile the beneficial-owner recordkeeper’s records with the institution’s records at the close of each business day, subject to stated exceptions and implementation details. The proposal also addresses timing variances and record-access arrangements. It remains a proposal, not a final rule. Federal Register

04

Record availability forms part of the reconciliation control

The retained data supports both routine operation and contingency use. It includes:

  • beneficial-owner identity and ownership interest;
  • account and program identifiers;
  • opening balance, transactions and closing balance;
  • pending, held and settled components;
  • source references and posting lineage;
  • corrections, versions and approval history;
  • reconciliation results and open breaks.

The bank defines how it obtains current records, how often it validates them and how it continues control if a middleware provider, fintech or interface fails. Read-only access without data completeness, currentness and exportability does not establish operational independence.

The FDIC proposal describes direct, continuous and unrestricted access as one possible recordkeeping arrangement and proposes contingency requirements where records are maintained by a third party. The architecture treats these features as design considerations while preserving their proposed regulatory status.

05

Independent reconstruction tests the evidence chain

An independent reconstruction can:

  1. obtain the bank’s custodial account balance and complete activity;
  2. obtain the beneficial-owner opening population;
  3. ingest the covered transaction population for the period;
  4. apply approved state and timing rules;
  5. reproduce owner-level credits, debits, holds and releases;
  6. allocate fees, returns and corrections;
  7. calculate the closing beneficial-owner population;
  8. reconcile the aggregate to the bank account; and
  9. produce the remaining breaks with owner, age and evidence.

Validation compares reconstructed balances with the operating subledger, samples identity and transaction lineage, tests control totals and verifies that records remain usable outside the provider’s primary interface.

As of 27 August 2026, RIN 3064-AG07 appears in the Unified Agenda as a long-term action, with a final-rule date to be determined. The proposal should therefore not be presented as an operative final requirement. Office of Information and Regulatory Affairs

06

Reconciliation also serves resolvability

The architecture produces two related proofs:

  • Operating-state proof: pooled cash and beneficial-owner interests agree during normal service.
  • Failure-state proof: the institution can obtain, validate and reconstruct the ownership position when a provider, interface or program participant fails.

Accurate records can support a deposit-insurance determination, but they do not by themselves establish legal ownership, pass-through insurance eligibility or insurance coverage. Those outcomes depend on the applicable law, account structure and facts.

In a custodial model, beneficial-owner data is part of the financial control boundary. Reconciliation connects that data to bank cash, payment events and internal records while testing the independence and availability of the resulting evidence.

Where Shared and Tokenised Ledgers Move the Boundary

A shared or tokenised ledger can place instruction, asset state and execution logic on one coordinated platform. This can remove breaks caused by separate copies, asynchronous status exchange and independent processing inside that platform.

It does not remove reconciliation. It relocates the control to the interfaces where assets enter, leave or receive legal and accounting recognition.

Control surface Potential effect of a shared ledger Proof that remains required
Instruction Participants observe one synchronized instruction state Authority, participant identity and authorised terms
In-platform transfer Atomic execution can combine state change and value transfer Valid execution, ownership change and platform finality
Conditional execution Shared logic can release value when defined conditions pass Authority and integrity of the condition data
Interbank obligation Common records reduce bilateral status differences Funding, settlement asset and discharge of the external obligation
Issuance and redemption Token creation and destruction can be recorded on-platform Agreement with the issuer’s deposit, reserve or liability records
External-system connection Orchestration can coordinate existing ledgers Completion and posting in every external authoritative system
Exception resolution Participants can share case state and evidence Correction authority, approval and durable closure evidence

01

Atomicity narrows the break set

When a platform commits delivery and payment as one indivisible transaction, it can remove the interval in which one leg completes and another remains pending. Reconciliation still tests:

  • whether the correct assets and parties entered the transaction;
  • whether every precondition came from an authorised source;
  • whether the platform committed the intended state transition once;
  • whether issuance, redemption and supply remain supported;
  • whether off-platform cash, reserves and accounting records agree;
  • whether a failed or reversed transaction produced the required residual state;
  • whether participants can retrieve independent evidence of the result.

Atomic execution strengthens one edge of the record graph. It does not establish authority for facts outside the platform.

02

Project Agorá demonstrates a layered boundary

Project Agorá explores tokenised commercial bank deposits and tokenised central bank reserves on a multi-currency programmable platform. Its design connects several layers rather than collapsing every financial record into one database.

The reconciliation interfaces include:

  • commercial-bank deposit liabilities to tokenised-deposit representations;
  • participant instructions to programmed transaction conditions;
  • tokenised deposits to the settlement obligation between banks;
  • tokenised central bank reserves to central-bank account authority;
  • platform outcomes to core banking, treasury and accounting records;
  • issuance and redemption to the supported assets and liabilities.

In July 2026, 28 financial institutions and central banks completed real-value testing across selected currencies. The programme covered 17 transaction scenarios totalling approximately CHF 800,000. These results demonstrate controlled testing of the architecture; they do not establish general production operation or universal legal treatment. BIS Project Agorá

03

Swift demonstrates an orchestration boundary

Swift’s shared ledger introduces a common orchestration layer while banks retain control of assets and funding. In the described initial design, settlement remains connected to existing infrastructures.

The reconciliation architecture therefore tests four edges:

  1. the participating bank’s instruction and funding state against the shared orchestration record;
  2. the shared commitment against the relevant tokenised-deposit record;
  3. the orchestration outcome against completion in the external settlement infrastructure; and
  4. the final result against each bank’s core and accounting postings.

On 9 July 2026, Swift said the ledger was ready for initial use and that 17 banks were preparing to pilot live transactions using tokenised deposits. The distinction between readiness, pilot activity and established production service remains explicit. Swift

04

Issuance and redemption become primary control edges

For a tokenised deposit or other issued representation, the control tests the supply roll-forward:

Opening token supply + authorised issuance − completed redemption ± governed corrections = closing token supply

Issuance requires evidence of:

  • the issuing institution and legal instrument;
  • the customer or participant obligation represented;
  • the supporting deposit or liability record;
  • authorised amount, currency and beneficiary;
  • unique token or position identity;
  • completion on the platform and posting in the issuer’s core records.

Redemption requires corresponding proof that the token state, external payment or account credit, issuer liability and supply reduction agree. A token marked redeemed without the required external cash or core-banking result creates a boundary break.

05

External settlement remains separately evidenced

State Assertion
Platform validated Parties, funding and conditions satisfy platform rules
Platform committed The shared ledger records the agreed obligation or state transition
Settlement submitted The required external settlement instruction was transmitted
Settlement completed The authoritative mechanism reports completion
Participant posted Each participant’s core and ledger records reflect the result
Reconciled The complete record chain agrees or every break has evidenced resolution

Platform commitment and settlement finality can coincide in an integrated design. Where settlement remains off-platform, they remain separate states. The applicable settlement mechanism determines irrevocability and unconditional completion; reconciliation records the evidence connecting that result to the shared-ledger event. See Settlement Finality.

06

Programmability creates data-authority edges

A smart contract or programmed workflow can act only on the facts supplied to it. For every external condition, the architecture defines:

  • the data provider and authority;
  • the event, timestamp and validity period;
  • the method of delivery and authentication;
  • treatment of missing, conflicting or corrected data;
  • the contract version and execution result;
  • override, suspension and dispute authority.

Atomic execution based on incorrect condition data produces a consistent platform state and an incorrect economic outcome. Reconciliation must therefore test the authority and lineage of the inputs as well as the resulting transaction.

07

Shared records create their own break taxonomy

Break class Typical condition
Issuance Token created without the required supporting liability or approval
Redemption Token removed without the expected external credit or liability reduction
Supply Outstanding token positions do not agree with the issuer’s control total
Orchestration Shared commitment and participant instruction disagree
Settlement bridge Platform completion lacks authoritative external settlement evidence
Posting Participant core or accounting record does not reflect the shared result
Condition data Programmed execution used missing, stale or unauthorised input
State finality Participants interpret reversibility or completion differently
Governance Contract, participant or rule version was not approved for the event
Evidence access A participant cannot retrieve the record required to prove its position

08

The boundary-shift model

For every shared-ledger design, the authority map identifies:

  • facts made authoritative on the shared platform;
  • facts still established by an issuer, bank, RTGS or core system;
  • the interfaces that connect those authority domains;
  • the state and timing relationship expected at each interface;
  • the party able to correct each fact;
  • evidence available during normal operation and failure.

Shared infrastructure can reduce reconciliation within a common execution boundary. It increases the importance of issuance, redemption, settlement, core-banking and evidence-access controls at the edge of that boundary.

AI-Assisted Matching and Investigation

AI can search large record populations, rank candidate matches, interpret references and summarise investigations within the reconciliation process. These capabilities operate in an intelligence layer around the reconciliation control; source authority, deterministic posting and approval stay within their established boundaries.

Architecture plane Function Output status
Evidence plane Stores source records, lineage, states and external confirmations Financial facts and supporting evidence
Control plane Establishes completeness, applies approved rules, governs actions and records approval Reconciliation result and control assertion
Intelligence plane Searches, ranks, explains and proposes Candidates, hypotheses and recommendations

01

AI supports the ambiguous part of reconciliation

Use case AI contribution Control boundary
Candidate matching Rank plausible record relationships Candidate remains open until deterministic proof or approval
Reference interpretation Extract entities, invoices or payment clues from unstructured text Original text and extraction confidence remain visible
Complex relationship discovery Suggest one-to-many or grouped relationships Amount allocation and membership must be reproducible
Break classification Propose category, severity and owner Approved taxonomy and routing policy determine the case state
Root-cause analysis Identify patterns across prior cases and system events Hypothesis remains distinct from confirmed cause
Rule generation Suggest deterministic matching or normalization rules Rule enters testing, approval and version control before use
Case summarisation Condense investigation history and outstanding actions Linked evidence remains the source of truth
Investigation support Find related payments, messages and external responses Access follows existing data permissions
Anomaly prioritisation Rank breaks by unusualness or likely impact Financial exposure and policy still drive severity
Model monitoring Detect drift in candidate quality and segment performance Thresholds trigger review or withdrawal, not autonomous relaxation

02

A candidate match remains an open control state

An AI-generated candidate records:

  • the proposed record relationship;
  • model and prompt or configuration version;
  • evidence features used;
  • confidence or ranking score;
  • alternative candidates;
  • reasons or supporting signals;
  • prohibited or missing evidence;
  • the reviewer and final disposition.

Only through an approved deterministic rule or an authorised reviewer decision backed by the required evidence can a candidate become a closed match; model confidence alone carries no financial authority.

03

AI-generated rules enter a governed rule lifecycle

By analysing repeated patterns such as reference formats, processor descriptions, fee structures or recurring time windows, AI may suggest a rule. That suggestion enters the control lifecycle as a proposal:

  1. define the proposed logic and intended population;
  2. identify the financial mechanism the rule represents;
  3. specify required identifiers, attributes and uniqueness tests;
  4. select representative historical and adversarial test data;
  5. compare results with approved outcomes;
  6. measure false matches, missed matches and ambiguous cases;
  7. review financial, operational and data-protection impacts;
  8. obtain authorised approval and an effective date;
  9. deploy with versioning, monitoring and rollback; and
  10. retain every result produced under the rule.

Once approved and deployed, the rule operates deterministically even when AI helped discover it. Any change to tolerance, scope or precedence follows the same approval process.

05

Agentic actions inherit authority from policy

Action level Permitted role
Read and analyse Search authorised data and produce candidates or summaries
Recommend Propose a match, classification, owner, response or rule
Coordinate Prepare a case update or route an approved request through the workflow
Change financial records Execute only through an existing authorised service, policy and approval path
Close a break Require the control evidence and approval defined for that break class

At the action boundary, an agent receives no broader authority than the human or service role it represents; transaction limits, segregation of duties, data permissions and maker-checker requirements apply unchanged.

06

Current products demonstrate the capability direction

In its vendor materials, Modern Treasury describes Reconciliation Suggestions as an AI layer for ambiguous cases that narrows candidates for human review while its core reconciliation engine stays deterministic. Its later AI platform describes context-aware payment operations with permissions, approvals and auditability. Modern Treasury Reconciliation Suggestions Modern Treasury AI

For treasury tasks including reconciliation, Atlar describes AI agents that present results for review. Its August 2026 US expansion announcement also emphasises operation within approval chains and audit trails. Atlar AI Agents Atlar US expansion

Because these statements come from vendors, they describe capability without independently establishing accuracy, control effectiveness or suitability for a specific financial architecture.

07

Validation measures decision quality by control segment

Evaluation records the following measures for each control segment:

  • precision and recall for candidate matches;
  • false-positive financial value, not only record count;
  • ambiguity and abstention rates;
  • reviewer acceptance and override rates;
  • performance by rail, currency, amount band, source and break class;
  • time saved without loss of evidence quality;
  • drift after source, rule or model changes;
  • incidents caused or prevented;
  • the proportion of outcomes still requiring manual reconstruction.

Across the whole population, a global accuracy score can conceal a weak high-value or low-volume segment. Control owners therefore set thresholds by the consequence of an incorrect decision.

08

Every inference remains reproducible

For each inference, the audit record stores:

  • model provider, name and version;
  • prompts, tools and configuration relevant to the result;
  • source records and features available at decision time;
  • candidate output and confidence;
  • deterministic checks applied after inference;
  • human decision and reason;
  • resulting financial or case action;
  • monitoring, override and incident history.

Across prompts, retrieved context and model outputs, data minimisation, access control, retention and cross-border processing requirements continue to apply. A potential improvement in match quality does not authorise sensitive payment data to leave an approved control boundary.

A model proposal becomes a reconciliation outcome only after the underlying evidence passes the approved control checks, policy authorises the action and an accountable role records the decision.

Evidence, Metrics and Control Ownership

Only when a qualified party can reproduce the scope, inputs, rules, breaks, resolution and approval does a reconciliation result become a control assertion. Evidence therefore forms part of the architecture rather than an attachment assembled after the event.

01

Every control run produces an evidence pack

Evidence component Required content
Control specification Purpose, assertions, scope, frequency, materiality and accountable owner
Run definition Run identifier, covered products, accounts, currencies, sources and effective rules
Reconciliation horizon Covered period, source watermarks, expected deliveries, lateness rules and remaining pending states
Source evidence Original records or verifiable references, manifests, sequences, checksums and receipt times
Population evidence Expected and received counts, values, batches, positions and completeness results
Transformation lineage Original fields, normalized values, mappings, code lists and versions
Rule set Matching, grouping, tolerance, state, calendar and uniqueness rules with approvals
Control results Matched records, consumed values, residuals, exceptions and status by assertion
Exception evidence Break classification, financial exposure, owner, ageing and investigation history
Resolution evidence External response, corrected source, posting, adjustment, rerun and reviewer decision
Change history Corrections, reopened results, superseded runs and impact assessments
Approval and attestation Reviewer, decision, time, qualifications, open items and stated conclusion

The evidence pack links to retained source data according to approved retention and access rules. It does not require duplicating every payload inside the case-management interface.

02

Control status expresses the strength of the assertion

Control status Meaning
Processing Required inputs or control stages remain outstanding
Provisional Available records agree, but the reconciliation horizon is incomplete
Horizon-complete Required populations arrived and the approved tests ran
Complete with open exceptions The horizon is complete and material breaks remain unresolved
Approved The reviewer accepted the result and any permitted residual treatment
Failed The control could not establish its required assertion
Reopened New or corrected evidence invalidated an earlier result
Superseded A later approved run replaced the result while preserving its history

Within the defined control scope, status applies to the covered account, rail or source. One account, rail or source can be approved while another remains provisional or failed.

03

Metrics follow the control assertion

The metric model covers six layers:

  • Coverage: whether expected records and value arrived.
  • Agreement: how records reached an approved match.
  • Exposure: the financial and control consequence of open breaks.
  • Resolution: ownership, ageing, escalation and closure.
  • Quality: recurrence, corrections, rule performance and manual intervention.
  • Assurance: evidence completeness, review and reopened conclusions.
Metric Definition
Horizon lag Time between the covered boundary and the point at which all required sources reach it
Record coverage Received eligible records divided by the expected record population
Value coverage Received eligible value divided by the expected value population
Deterministic match rate Records or value closed through approved deterministic rules
Tolerated match rate Records or value closed with an explicit, documented tolerance
AI-assisted match rate Approved matches for which AI proposed the candidate or relationship
Manual match rate Matches established through an authorised reviewer without an existing deterministic rule
Ambiguity rate Eligible records with more than one plausible match under the applied logic
Gross unmatched exposure Sum of the absolute financial value of open unmatched records
Net residual exposure Directional value remaining after approved offsets and allocations
Break ageing Time since detection, segmented by severity, owner and root cause
Late-arrival rate Expected records received after their approved delivery window
Recurring-break rate Breaks linked to a previously identified root cause or control weakness
Manual-adjustment rate Reconciliation outcomes requiring a financial posting, write-off or adjustment
Reopened-case rate Closed cases restored after corrections or new evidence
Evidence-complete rate Closed results containing every evidence component required by policy

04

Match rate requires denominator discipline

A published match rate identifies:

  • whether the denominator uses records, economic events or financial value;
  • the control scope and reconciliation horizon;
  • excluded pending states and approved timing items;
  • whether both sides of a matched pair are counted;
  • treatment of batches, splits and many-to-many groups;
  • treatment of tolerated, AI-assisted and manual outcomes;
  • the rule and source versions used.
Outcome path Reporting treatment
Deterministic Report separately as rule-based agreement
Tolerated Report separately with the observed variance and tolerance basis
AI-assisted Attribute the final outcome to its approved closure path and disclose AI assistance
Manual Report separately with reviewer, evidence and reason

Combining these outcomes into one headline rate can be useful for throughput reporting. It does not replace the separate control-quality measures.

05

Metrics remain segmented by control boundary

Metrics are segmented by:

  • account, legal entity and product;
  • currency, rail and settlement mechanism;
  • source system and external participant;
  • transaction and settlement grain;
  • matching rule and tolerance;
  • break class, severity and root cause;
  • value band and customer-funds relevance;
  • business day, horizon and operating calendar.

Segmentation reveals concentrated failures that an aggregate rate can conceal.

06

Exposure includes more than the transaction amount

Exposure dimension Control question
Principal What gross and net financial value remains unsupported?
Customer funds Does the break affect customer, safeguarded or custodial balances?
Liquidity Can the break change funding, settlement or intraday liquidity requirements?
Accounting Does it affect classification, period recognition or financial reporting?
Operational How many records, systems and manual actions are affected?
Deadline Does it threaten a settlement, regulatory, customer or close deadline?
Control dependency Does one failed source or run invalidate a larger population?
Recurrence Does the break indicate a systemic process, interface or rule failure?

Severity and escalation use these dimensions together. A low-value break can still be critical when it exposes a completeness failure or customer-funds allocation gap.

07

Control ownership follows the assertion

Role Accountability
Control sponsor Approves the control objective, risk coverage and materiality
Control owner Owns design, execution, completeness, metrics, escalation and attestation
Source owner Delivers complete, accurate and timely records with usable lineage
Platform owner Operates ingestion, normalization, matching, case workflow and retained evidence
Resolution owner Controls the system, relationship or action capable of correcting the affected fact
Ledger or accounting owner Authorises financial postings, classifications and accounting adjustments
Reviewer or approver Independently tests the result and accepts or rejects closure
Risk-acceptance owner Approves permitted residual exposure within a defined authority and duration
Independent assurance Tests control design and operating effectiveness without owning execution

The reconciliation team can coordinate an external dependency. It cannot transfer internal accountability to the bank, processor, middleware provider or vendor causing the delay.

08

Financial actions and control approval remain separated

When resolution changes a financial record:

  1. the case identifies the authoritative record requiring action;
  2. an authorised role creates the posting, reversal, correction or adjustment;
  3. a separate approval applies where policy requires maker-checker control;
  4. reconciliation reruns the original assertion against the resulting evidence; and
  5. the control reviewer approves closure or records the remaining exposure.

The action that changes value is not the same as the decision that the reconciliation break is resolved.

09

Attestation states the conclusion and its limits

An attestation records:

  • the control and period covered;
  • sources and horizons achieved;
  • assertions tested;
  • complete and incomplete populations;
  • open breaks by class, age and exposure;
  • approved timing items and residual treatment;
  • control failures or data limitations;
  • material changes since the prior run;
  • reviewer and approval time.

The evidence chain is:

records → control run → breaks → resolution → evidence → attestation

This chain allows architects, operations, finance, risk and assurance teams to evaluate the same result without assigning one metric more authority than the records and policies supporting it.

Architecture Review Questions

Use these questions to test whether a reconciliation design can establish a complete, reproducible and owned financial control.

01

Scope and authority

  • Which economic events and financial obligations fall within the control?
  • Which existence, completeness, accuracy, state, timing and resolution assertions must the control prove?
  • Which source holds authority for each financial fact?
  • Which records are original observations, derived views or internal allocations?
  • Where do payment, processor, rail, bank, ledger and accounting authority begin and end?
  • What transaction, settlement and accounting grain does each source represent?
  • Which downstream balances, reports or decisions depend on the result?

02

Population and identity

  • How does the control determine the population that should exist?
  • Which source manifests, sequences, totals or watermarks establish completeness?
  • Which identifiers connect business intent, instruction, settlement, account entry and ledger posting?
  • Are namespaces, issuers and identifier reuse explicitly represented?
  • How are execution attempts distinguished from the intended payment?
  • How are batches, net settlements, splits, fees, FX effects, returns and reversals related?
  • What happens when direct identifiers are absent or not unique?
  • Can every authoritative record be consumed once or allocated through an explicit split rule?

03

States, time and matching

  • Does the state map preserve each source’s original meaning?
  • Which evidence establishes acceptance, settlement, booking, posting and closure?
  • Are event, processing, settlement, booking, value, posting and ingestion times stored separately?
  • Which calendars, cut-offs and time zones govern expected relationships?
  • What reconciliation horizon applies to each formal assertion?
  • How does the control distinguish freshness from population completeness?
  • Which one-to-one, one-to-many, many-to-one, many-to-many and aggregate models are required?
  • Does each tolerance represent a documented financial mechanism?
  • Do deterministic rules include uniqueness and record-consumption tests?
  • Do late and corrected records trigger replay and impact assessment?

04

Breaks and resolution

  • Which failed assertion creates each break class?
  • Can one root cause group many underlying breaks without hiding their value or status?
  • Does every break have severity, owner, target time and escalation path?
  • Does ownership follow the authority capable of correcting the fact?
  • Are external dependencies assigned an accountable internal owner?
  • Which actions can correct source data, financial records or matching logic?
  • Where does maker-checker approval apply?
  • Does revalidation rerun the original assertion after corrective action?
  • What evidence must exist before closure?
  • Can a corrected record reopen a closed case, period or attestation?

05

Special control boundaries

  • For 24/7 rails, how do event controls connect to formal period assertions?
  • During ISO 20022 migration, are original, translated and normalized records linked?
  • In custodial models, can pooled cash be reconciled to every beneficial-owner interest?
  • Can the bank independently obtain and reconstruct third-party records?
  • On shared or tokenised ledgers, which facts are authoritative on-platform and which remain external?
  • Do issuance, redemption, supply and external settlement reconcile independently?
  • Are programmed conditions supported by authorised, versioned data?
  • Can AI propose a candidate without gaining posting or closure authority?
  • Are AI-assisted outcomes reproducible and segmented by financial consequence?

06

Evidence and governance

  • Does every run retain source evidence, population proof, lineage and rule versions?
  • Can another qualified reviewer reproduce the result?
  • Are provisional, horizon-complete, approved, failed and reopened states distinct?
  • Do metrics disclose their record, event or value denominator?
  • Are deterministic, tolerated, AI-assisted and manual outcomes reported separately?
  • Are gross exposure, net residual, ageing and recurrence visible together?
  • Are metrics segmented enough to reveal concentrated source or rule failures?
  • Are control ownership, financial-action authority and review separated?
  • Can residual risk be accepted only by a named role within a defined limit and duration?
  • Does the attestation state scope, limitations and open exceptions?
  • Can evidence remain available through provider or interface failure?
  • Do retention and access controls support operational, accounting and assurance needs?

An architecture is ready for operation when each material edge has defined authority, identity, state, horizon, matching logic, break ownership and closure evidence.

Further research and case analysis appear in Architecture Analysis.

Source Register

Last reviewed: 27 August 2026

Issuer Publication Date and status Proposition supported
Federal Reserve Financial Services Fedwire Funds Service ISO 20022 FAQ: Format Current service documentation; reviewed 27 August 2026 EndToEndId, IMAD and OMAD references, and pacs.002 status examples
Swift Transforming exceptions and investigations 7 May 2026; official service and transition update Case Orchestrator, UETR, smart routing and camt.110/camt.111 handling
Swift ISO 20022: Exceptions and Investigations Current FAQ; reviewed 27 August 2026 November 2026 receipt of camt.110 and November 2027 Case Management migration
Swift CBPR+ roadmap beyond November 2025 June 2026 roadmap; official transition plan Completed instruction milestone, reporting coexistence through SR2028 and E&I transition
Committee on Payments and Market Infrastructures, BIS Harmonised ISO 20022 data requirements for enhancing cross-border payments — updated report 26 February 2026; international guidance, not regulation Continued implementation variability, harmonised data requirements and flexibility through end-2027
European Central Bank What is TIPS? Current service documentation; reviewed 27 August 2026 TIPS settlement in central bank money on a 24/7/365 basis
European Central Bank TARGET Services Annual Report 2025 13 June 2026; annual report Distinct continuous TIPS operation and period-based TARGET reporting boundaries
Federal Reserve, FDIC and OCC Joint Statement on Banks’ Arrangements with Third Parties to Deliver Bank Deposit Products and Services 25 July 2024; supervisory statement, no new requirements Fragmented records, third-party dependencies, data access and bank responsibility
Federal Deposit Insurance Corporation Recordkeeping for Custodial Accounts 2 October 2024; proposed rule Beneficial-owner records, daily reconciliation, timing variances, direct access and contingency arrangements
Office of Information and Regulatory Affairs RIN 3064-AG07 2026 Unified Agenda; long-term action, final rule date to be determined Current procedural status of the FDIC custodial-account proposal
BIS Innovation Hub Project Agorá Current through July 2026; experimental project and real-value testing Tokenised deposits and central-bank reserves, layered architecture and July 2026 test results
Bank for International Settlements Anchoring trust in money: innovation beyond stablecoins 23 June 2026; Annual Economic Report chapter Next-generation two-tier architecture, unified ledgers and the continuing monetary anchor of central-bank money
Swift Swift’s blockchain ledger ready for use as 17 banks prepare to pioneer tokenised cross-border payments 9 July 2026; ready for initial use, pilot preparation Shared orchestration, tokenised-deposit pilots and continued participant control of assets and funding
Modern Treasury Modern Treasury Enhances Reconciliation Engine with AI 23 October 2023; vendor publication AI-generated reconciliation candidates for ambiguous cases with human review
Modern Treasury Modern Treasury Announces the First AI Platform Purpose-Built for Payments 1 May 2025; vendor publication Natural-language payment operations, permissions, approvals and described auditability
Atlar Introducing AI Agents for Treasury 11 February 2026; vendor beta announcement AI-supported matching, investigation and proposed results for review
Atlar Atlar Expands to the US with a New York Headquarters 11 August 2026; vendor announcement AI-enabled finance workflows operating within approval chains and audit trails

Vendor publications establish available or announced capabilities. They provide no independent benchmark of accuracy, control effectiveness or production suitability.

Proposals, pilots and experimental projects retain their stated status. Time-sensitive claims reflect the source position available on 27 August 2026.