AI for Internal Auditors and Evidence-Based Audit Reporting

About Course

Use AI to prepare internal-audit plans, organise source evidence, draft questions and write traceable findings and reports. Practise sampling, triangulation, classification and follow-up using fictional criteria and records. Includes 15 lessons, worked private challenges and a 30-question final quiz. Audit judgement and approval remain with competent auditors.

LO01: Prepare an audit brief with clear authority, criteria and risk-based coverage.
LO02: Create an evidence-led audit plan without assuming complete coverage from a sample.
LO03: Distinguish verified evidence, statements, inference and unresolved gaps.
LO04: Write accurate audit conclusions with traceable evidence and explicit limits.
LO05: Maintain auditor judgement and evidence integrity through reporting and follow-up.

Course Content

Audit purpose and planning
Set AI boundaries, define scope and criteria, and plan audit priorities.

01. Keep audit judgement and independence with the auditor
02. Define objectives, scope and criteria before drafting questions
03. Plan audit priorities using process risk and history

Preparation and sampling
Organise sources, design a defensible sample and develop process questions.

Evidence collection
Use interviews, triangulation and structured evidence logs.

Findings and reporting
Draft supported findings, apply the approved classification method and assemble the report.

Communication and follow-up
Present findings, verify corrective action and evaluate an AI-assisted audit workflow.

Assessment

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AI for Internal Auditors and Evidence-Based Audit Reporting

About Course

What Will You Learn?

Course Content

Audit purpose and planning
Set AI boundaries, define scope and criteria, and plan audit priorities.

01. Keep audit judgement and independence with the auditor

02. Define objectives, scope and criteria before drafting questions

03. Plan audit priorities using process risk and history

Preparation and sampling
Organise sources, design a defensible sample and develop process questions.

04. Build an authorised source pack

05. Design and describe an audit sample honestly

06. Draft process questions and evidence requests

Evidence collection
Use interviews, triangulation and structured evidence logs.

07. Use interview notes without inventing testimony

08. Triangulate records, statements and observations

09. Maintain an evidence log with traceable status

Findings and reporting
Draft supported findings, apply the approved classification method and assemble the report.

10. Draft a nonconformity from criterion, evidence and gap

11. Classify findings under the agreed audit method

12. Assemble a report that matches the audit record

Communication and follow-up
Present findings, verify corrective action and evaluate an AI-assisted audit workflow.

13. Prepare the closing meeting and factual corrections

14. Verify corrective-action implementation and effectiveness

15. Evaluate an AI-assisted audit-reporting workflow

Assessment

AI for Internal Auditors and Evidence-Based Audit Reporting – Final Quiz

Earn a certificate

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About Course

What Will You Learn?

Course Content

Audit purpose and planning Set AI boundaries, define scope and criteria, and plan audit priorities.

01. Keep audit judgement and independence with the auditor

02. Define objectives, scope and criteria before drafting questions

03. Plan audit priorities using process risk and history

Preparation and sampling Organise sources, design a defensible sample and develop process questions.

04. Build an authorised source pack

05. Design and describe an audit sample honestly

06. Draft process questions and evidence requests

Evidence collection Use interviews, triangulation and structured evidence logs.

07. Use interview notes without inventing testimony

08. Triangulate records, statements and observations

09. Maintain an evidence log with traceable status

Findings and reporting Draft supported findings, apply the approved classification method and assemble the report.

10. Draft a nonconformity from criterion, evidence and gap

11. Classify findings under the agreed audit method

12. Assemble a report that matches the audit record

Communication and follow-up Present findings, verify corrective action and evaluate an AI-assisted audit workflow.

13. Prepare the closing meeting and factual corrections

14. Verify corrective-action implementation and effectiveness

15. Evaluate an AI-assisted audit-reporting workflow

Assessment

AI for Internal Auditors and Evidence-Based Audit Reporting – Final Quiz

Earn a certificate

Student Ratings & Reviews

Audit purpose and planning
Set AI boundaries, define scope and criteria, and plan audit priorities.

Preparation and sampling
Organise sources, design a defensible sample and develop process questions.

Evidence collection
Use interviews, triangulation and structured evidence logs.

Findings and reporting
Draft supported findings, apply the approved classification method and assemble the report.

Communication and follow-up
Present findings, verify corrective action and evaluate an AI-assisted audit workflow.