Develop practical capabilities in forensic testing of financial data.
Run forensic tests on journal, payment and statement data. You apply statistical red-flag detection, including Benford's Law, look for financial statement fraud indicators, and document findings for investigation and audit reporting.
Agentic AI in practical forensic testing
Ask the question in plain English. Claude Code plans, codes and reports. You review, interpret and approve.
Understand where AI and Agentic AI fit in an investigation
Test journal entries and payment data for red flags
Apply statistical tests for anomaly detection
Detect financial statement fraud indicators
Turn flagged results into a trusted investigation report
Use AI to speed up the build.
Use testing and reconciliation to prove the numbers.
Use forensic judgement to decide what the flags mean.
You will have worked through a practical end-to-end AI-assisted forensic testing workflow, from journal and payment testing through statistical red-flag detection and tested investigation reporting.
| Duration | 2 days |
|---|---|
| Delivery | Instructor-led with live demonstrations and practical exercises |
| Investment | US$200 per delegate |
| Group bookings | 20% discount |
| Prerequisites | Laptop, working knowledge of accounting or audit |
| Facilitator | Tafirei Mashamba, PhD |
| Next intake | Ask us for the next intake. We reply by email or WhatsApp. |
Need this built for your institution instead? See AI Agents and Business Automation and Business Intelligence and Analytics.
Book your seat, or ask about training your whole team. Group bookings receive a 20% discount.