AI Account Reconciliation Agent

Bonami's agent achieves 92–97% auto-match rates on production volumes across validated deployments, depending on data quality and reference consistency.

Certified native connectors for SAP S/4HANA, Oracle Fusion Financials, Oracle NetSuite, Workday Financials, BlackLine, and Coupa.

The agent ingests intercompany payables and receivables from each entity's ERP, builds a consolidated matching dataset, and identifies discrepancies from timing, currency translation, missing bookings, and coding mismatches.

Instead of accumulating transactions for bulk matching at close, the agent matches them as they flow through bank feeds and ERP sub-ledgers throughout the month, typically within minutes of posting.

Every action is captured in an immutable audit log — match decisions, exception classifications with rationale, manual overrides with actor and justification, and timestamped sign-offs.

A standard implementation runs 6–10 weeks: connectivity and reconciliation policy setup (weeks 1–2), a parallel-run phase against your existing process (weeks 3–5), phased go-live by account category (weeks 6–8), then ML fine-tuning and team training (weeks 9–10).

Manual reconciliation costs $15–$40 per transaction; AI-automated runs below $2 — an 85–93% reduction. For a mid-market team processing 10,000 items per close, that is $1.3M–$3.8M in annual direct savings.

Most financial reconciliation software relies on static rules that need heavy configuration and break on edge cases. Bonami account reconciliation software adds automated account reconciliation through four matching layers, including ML trained on your historical decisions, reaching 92–97% auto-match rates without hardcoded thresholds.

Yes. As month end close software it matches continuously across bank feeds, ERP sub ledgers, and intercompany accounts, so 85–90% of reconciliation is done before close.