Payment reconciliation, made explainable

Trace every settlement.
Resolve every difference.

Traqvera Reconcile connects internal transactions, PSP settlements, and bank receipts—then verifies what arrived, when it became available, and why any amount or timing difference occurred.

Built for finance and payment operations teams.

YESTERDAY · SGD PAYINReconciliation complete
Verified
Expected settlement$9,815,000PSP reported$9,815,000Bank received$9,810,000
Transactions$10.0M grossPSP-$185K feesBank$5K difference
AMOUNT GAP$5,000
SETTLEMENT DELAY18h
DELAYED EXPOSURE$9.81M

Illustrative product data

Trace. Verify. Resolve.

A clearer financial truth

What is payment reconciliation?

Payment reconciliation is the process of comparing internal transaction records, PSP settlement reports, and bank entries to prove that the expected amount was settled and became available within the expected time window.

Traqvera turns that process into an operational workflow: it traces the complete money movement, verifies amount and timing at each handoff, investigates exceptions, and preserves the evidence behind every resolution.

Traqvera Reconcile

One money trail.
Two precise checks.

We do not compare gross transaction value directly with a bank deposit and call the gap an exception. Traqvera separates what the PSP should settle from what and when the bank should receive.

STAGE A
InternalPSP

Was the PSP settlement correct?

Validate eligible transactions, refunds, fees, FX adjustments, and expected net settlement.

  • Exact and composite matching
  • Batch and net settlement support
  • Fee and FX difference detection

The reconciliation workflow

From raw records to signed-off truth.

Six deliberate steps. Every transition visible. Every decision attributable.

01

Connect

Bring together internal transactions, PSP settlement reports, and bank statements.

02

Normalize

Map every source into one financial model and stop bad data before it becomes a false exception.

03

Match

Run deterministic matching across transaction-to-settlement and settlement-to-bank stages.

04

Investigate

Collect evidence and use AI to explain the most likely cause of each meaningful difference.

05

Resolve

Approve, correct, reject, or escalate with a structured decision and complete audit trail.

06

Close

Sign off a balanced reconciliation and create an immutable report snapshot.

AI, with financial boundaries

Evidence first.
Recommendation second.

Deterministic rules match records and calculate amount, expected timing, and exposure. AI works where judgment helps: organizing evidence, explaining likely root causes, and recommending the next action.

01

Calculations stay deterministic. The model never becomes the financial source of truth.

02

Every claim cites evidence. Records, rules, calculations, and source health remain visible.

03

People own the outcome. Approve, reject, correct, or escalate before sign-off.

CASE-1088Bank amount mismatch
Review
Expected bank receiptSGD 9,750.00
Actual bank receiptSGD 9,725.00
DifferenceSGD 25.00
AI INVESTIGATION

Likely additional bank fee

PSP fee verified. Bank entry is SGD 25.00 below the expected payout and matches the provider's historical bank-fee pattern.

Evidence 3 verified itemsConfidence 98.7%
RejectEscalateApprove recommendation

Operational ROI

Less manual work. Faster financial control.

01

Reduce manual reconciliation

Automate repeatable matching and focus operators on exceptions that require judgment.

02

Resolve exceptions faster

Prioritize cases by severity, SLA, exposure, age, and confidence—with evidence ready for review.

03

Detect financial leakage

Surface fee, FX, duplicate, missing-settlement, and bank-receipt differences before they remain hidden.

04

See settlement exposure early

Measure overdue value and duration against expected settlement windows, without confusing exposure with liquidity or funding cost.

05

Close with audit evidence

Preserve the calculation, evidence, decision, actor, and timestamp in an immutable sign-off report.

Questions, answered clearly

Payment reconciliation without the black box.

What finance, payment operations, and audit teams should know before trusting an automated reconciliation workflow.

Does a matched amount mean settlement was on time?

No. Amount and timing are evaluated separately. A settlement can match in full and still be late against its expected settlement window, creating time-based exposure even when the amount difference is zero.

What is payment reconciliation?

Payment reconciliation compares internal transaction records, payment service provider settlement reports, and bank statement entries to verify that expected funds were settled and received—and to explain any difference.

What does Traqvera Reconcile compare?

It first compares internal transactions with PSP settlements, then compares expected PSP payouts with actual bank receipts. Keeping those stages separate shows exactly where a difference occurred.

Does AI decide whether money reconciles?

No. Deterministic rules own matching, calculations, and financial state changes. AI organizes evidence, explains likely root causes, and recommends a resolution for human review.

Can we start with CSV files?

Yes. The initial product is designed for internal transaction, PSP settlement, and bank statement CSV files. Field mapping and data-quality checks happen before a reconciliation run starts.

Does Traqvera replace our ledger or accounting system?

No. Traqvera Reconcile is an operational control layer. It verifies movement between transaction, settlement, and bank records without pretending to be the accounting system of record.

Traqvera Reconcile · Pilot

Bring yesterday's data.
Find today's difference.

Start with a free 30–45 minute fit assessment. We will confirm your sources, settlement flow, and Pilot scope before any paid engagement or production-data transfer.

Request free assessment