Reconcile millions of transactions with governed agentic execution.
Nexoraa replaces manual matching and exception triage with multi-agent workflows that ingest statements, match transactions, identify breaks, propose corrections, and route only the genuine exceptions to a human — with full audit trail.
Five problems reconciliation teams know intimately.
Inconsistent input formats
PDF statements, CSV exports, swift messages, ERP extracts — all in different formats from different counterparties, none of them stable over time.
Brittle rule-based matching
Static rule engines miss legitimate matches and surface false breaks; tuning the rules introduces silent regressions elsewhere.
Exception backlog
Thousands of breaks per day; analysts spend more time triaging than resolving; period close slips.
Lost institutional knowledge
Resolution logic lives in the heads of senior staff; when they leave, accuracy degrades.
Audit pressure
Reconciliation is a top finding area; auditors want evidence of every match decision and every exception treatment.
From statement to posted reconciliation, end-to-end.
Nexoraa orchestrates a multi-agent pipeline. Each agent has a scoped responsibility, its own validation criteria, and clear handoffs to the next agent or human reviewer.
Ingestion Agent
Accepts statements in any supported format (PDF, CSV, XLSX, MT940, ISO 20022, ERP extract). OCR + intelligent extraction normalises every record into a validated JSON schema.
Matching Agent
Applies hybrid logic — rule-based for structured fields, semantic for fuzzy fields (counterparty names, references). Returns high-confidence matches with cited reasoning.
Break Identification Agent
Classifies unmatched records as timing, FX, fee, mis-booking, or true breaks. Writes the classification rationale into the audit trail.
Resolution Proposer Agent
For each classified break, proposes a resolution drawn from prior cases (memory module) and policy rules (deterministic execution).
Haluvance Validation
HaluvanceEvery output is validated against schema, confidence threshold, and policy. Low-confidence outputs are blocked from auto-promotion.
Human-in-the-Loop
HumanItems above defined materiality, or below confidence threshold, are routed to a queue with full context, evidence, and the agent's proposal.
Posting Agent
On approval, posts entries to the ERP via integration, captures the journal ID, and closes the break in the audit trail.
What changes after Nexoraa runs reconciliation.
Auto-match rate
Materially higher than rule-only baselines
Cycle time
Compressed from days to hours on common reconciliation types
Exception inventory
Concentrated, classified, and prioritised — not random
Audit posture
Tamper-evident lineage replaces post-hoc reconstruction
Audit-ready by default.
Reconciliation is a top audit finding area. Nexoraa generates the evidence auditors ask for — automatically, by default, for every reconciliation.
- 01Per-instance lineage: which inputs, which sources, which decisions, which approvals
- 02Confidence and policy compliance recorded for every output
- 03Reviewer approval trail with reviewer identity, time, and decision
- 04Versioned prompts, models, and policies — bound to the reconciliation that ran under them
- 05Tamper-evident retention with configurable horizons
See reconciliation run on your data.
Bring a sample reconciliation under NDA. We will run it through Nexoraa on the call.