AI-Powered Auditor
The audit binder, reimagined as an agent that ties out the numbers.
- Client
- A mid-tier audit & accounting firm (ACCA, BNM-regulated)
- Replaces
- Manual working papers & spreadsheet ticking
- Stack
- Next.jsAudit workflow engineLLM reasoningRegulatory ruleset
Audit teams spent the bulk of an engagement on mechanical work — vouching, tying balances to source documents, drafting working papers — leaving too little time for judgement. Every reviewer re-checked the same arithmetic by hand.
- 1
Designed an agentic audit workflow across the engagement lifecycle — planning, fieldwork, review — aligned to ACCA methodology and Malaysian regulatory requirements.
- 2
The agent reads source documents, proposes working-paper entries, flags control exceptions and drafts the rationale — the auditor reviews and signs off.
- 3
Kept the human firmly in the loop: every AI step is reviewable, attributable and versioned for the audit trail.
Manual vouching and ticking, line by line
Agent ties balances to source docs and surfaces the exceptions
Working papers drafted from scratch
Drafted by the agent, reviewed and signed off by the auditor
Findings live in one reviewer's head
Every step attributable, versioned and audit-ready
This case study describes a prototype delivered on synthetic, deterministic data to demonstrate the approach. The client is anonymized and no customer PII is used anywhere.
Want the agentic version of your workflow?
Tell us what you're replacing. We'll usually answer with a demo.