Cognicert AI-Enhanced Auditor

Use AI to support audit planning, analyse evidence and draft reports while checking outputs and preserving professional judgement.

Practise prompting, evidence review, data analysis and report drafting within the audit lifecycle. Evaluate AI-generated outputs for errors, bias and privacy risks rather than treating them as audit evidence on their own.

Participants will gain practical AI skills for the full audit lifecycle.

By the end of the course, participants will be able to apply AI practically and responsibly in audit work.

• Explain AI concepts relevant to auditing
• Identify AI use cases in audit activities
• Design AI-assisted audit programmes

• Apply AI to evidence collection
• Evaluate AI-generated findings
• Use AI to improve audit reporting

• Assess AI governance and risks
• Apply continuous auditing concepts
• Maintain independence and scepticism

Designed for auditors, assurance professionals, risk practitioners and governance leaders.

Internal AuditorsISO Lead AuditorsFinancial AuditorsAudit ManagersCompliance OfficersRisk ManagersQuality AuditorsIT AuditorsFraud InvestigatorsGovernance ProfessionalsPublic Sector AuditorsConsultants

1. AI fundamentals and limitations in auditing
2. AI throughout the audit lifecycle
3. Prompt engineering and output validation
4. Evidence collection, fieldwork and working papers
5. Audit planning and risk assessment
6. Data analytics and fraud detection
7. Audit reporting and corrective-action recommendations
8. Governance, ethics, privacy and human oversight
9. Implementation planning for audit functions
10. Practical audit workshops and simulations

One-hour final examination. Review the course assessment and award requirements before enrolment.

🎓Instructor-Led

🤖Live AI Demos

🧩Case Studies

👥Group Exercises

✅Final Assessment