Smart Audit System — Regulatory Compliance Monitoring
Situation & Challenge
A regulated insurance firm needed to evidence fair customer outcomes at individual transaction level under new FCA guidance. Existing sampling-based manual audit covered less than 1% of transactions — inadequate for regulatory purposes and operationally impossible to scale manually to full coverage.
What Coadjutant Built
Continuous monitoring pipeline ingesting claims, pricing decisions, and customer communications. NLP-based outcome classifier flagging transactions in real time against a regulatory outcome taxonomy. Auto-generated evidence packs structured to FCA submission requirements, eliminating the manual collation process and dramatically reducing reporting preparation time.
Technology & Protocols
NLP outcome classifierRegulatory taxonomy mappingEvidence pack generationAudit trail pipelineFCA reporting format