AuditFlow: Traceable Multi-Agent Audit System

Enterprise finance teams waste hours reconciling transaction data scattered across CRM, ERP, and Finance systems. The same deal appears differently in each — contract amounts don't match invoices, payments don't reconcile with bookings. Today this means manual spreadsheet work with no audit trail. AuditFlow solves this with 6 specialised agents across 4 layers, all coordinated through Band's room and @mention system. The Router Agent receives natural language queries, classifies intent, and dispatches to system agents via @mention. Three parallel System Agents (CRM, ERP, Finance) each query their own database and return structured data plus the business rules that govern it — payment terms, FX policies, invoicing schedules. The Reconciliation Agent aligns outputs and identifies every field-level discrepancy. The Root-Cause Agent diagnoses each discrepancy using those business rules, producing a confidence-scored verdict: normal (explained by policy), anomaly (unexplained, needs human review), or watch (conditional, needs follow-up). Every handoff is a real Band @mention. The full room conversation is the audit trail — every reasoning step timestamped and inspectable. Band isn't a wrapper here; it's the coordination layer that makes agent synchronisation and shared context real. The core insight: a single LLM can't reliably reconcile data across systems with conflicting business rules. When it fails, there's no way to locate which reasoning step went wrong. AuditFlow's role-based design makes every failure localised and traceable. Validated across 10 scenarios including instalment payments, FX conversions, partial refunds, entity name variations, and missing fields. AuditFlow reduces a multi-hour manual process to a structured, auditable workflow — with a decision trace that satisfies compliance requirements no black-box output ever could.