AI Training Programme

AI Training for Audit & Compliance | Move from sampling to full-population testing

Full-population testing and anomaly detection instead of sampling. Designed and delivered by CA Dhaval Kodilkar.

Trusted by teams at
  • Larsen & Toubro logo
  • Safaricom logo
  • Bajaj Finserv logo
  • Indian Oil logo
  • Galderma logo
  • Abbott logo
  • Lanxess logo
  • Bajaj Finance logo
  • VE Commercial Vehicles (Eicher) logo
  • UPL logo
  • Marico logo
  • WPP Media logo
  • IndusInd Bank logo
  • KPMG logo
  • Income Tax Appellate Tribunal (ITAT) logo
  • NPCI logo
  • Mayfair Insurance logo
  • Copy Cat Group logo
  • Ramco Group logo
  • HCG Group logo
  • Clutterbot logo

Clients include Larsen & Toubro, Safaricom, Bajaj Finserv, Indian Oil, Galderma, Abbott, Lanxess, Bajaj Finance, VE Commercial Vehicles (Eicher), UPL, Marico, WPP Media, IndusInd Bank, KPMG, Income Tax Appellate Tribunal (ITAT), NPCI, Mayfair Insurance, Copy Cat Group, Ramco Group, HCG Group, Clutterbot.

Last updated: October 2026
Key Takeaway

AI for internal audit training teaches audit and compliance teams to test entire populations instead of samples, detect anomalies, document control testing and draft audit reports. The programme aligns analytics with SA 240, SA 315 and SA 330, so AI-assisted work fits recognised audit methodology and review standards.

Who this is for

Built for your team.

  • Internal auditors
  • Statutory audit teams
  • Risk and compliance officers
  • Heads of internal audit
  • Audit committee support staff
Group size
8 to 50 participants per cohort
Prior knowledge
None needed
Problems we solve

Where the time goes today.

  • Sample-based testing misses low-frequency, high-value exceptions.
  • Risk assessments are repeated from last year instead of driven by current data.
  • Fraud risk procedures under SA 240 are generic and not tailored to the entity.
  • Audit reports take weeks to draft and review after fieldwork ends.
  • Compliance teams track regulatory changes manually across many sources.
Curriculum

6 modules, each with a hands-on lab.

  1. Module 1

    AI and audit methodology

    Place AI inside planning, risk assessment, testing and reporting with proper documentation.

    Lab: Map AI-assisted steps to your audit methodology.

  2. Module 2

    Risk assessment under SA 315

    Use AI to analyse trends and identify risks of material misstatement.

    Lab: Produce a data-driven risk assessment for a revenue cycle.

  3. Module 3

    Fraud risk analytics under SA 240

    Run journal entry testing and red-flag analysis across the full ledger.

    Lab: Identify unusual journal entries by user, time and amount.

  4. Module 4

    Full-population control testing under SA 330

    Test 100% of transactions against control rules.

    Lab: Test purchase orders against approval limits for a full year.

  5. Module 5

    Anomaly detection

    Use Python and AI to score transactions and prioritise review.

    Lab: Score vendor payments for duplicates and outliers.

  6. Module 6

    Audit reporting and follow-up

    Draft observations, risk ratings and management action plans.

    Lab: Turn testing results into three report-ready observations.

Sample use cases

What Audit & Compliance teams automate first.

Sample AI use cases for Audit & Compliance teams and the tool used
WorkflowTypical tool
Test 100% of journal entries for SA 240 red flagsPython logoPythonPython
Detect duplicate vendor payments and split invoicesExcel logoExcelExcel with Copilot
Draft audit observations with root cause and recommendationsClaude logoClaudeClaude
Summarise regulatory circulars and their impact on controlsPerplexity logoPerplexityPerplexity
Build a risk and control matrix for a new processChatGPT logoChatGPTChatGPT
Analyse process logs to find control bypassesPython logoPythonPython
Prepare audit committee summariesMicrosoft Copilot logoMicrosoft CopilotMicrosoft Copilot
Answer questions from policy manuals during fieldworkNotebookLM (Gemini Notebook) logoNotebookLM (Gemini Notebook)NotebookLM
Tools covered
  • Python logoPython
  • Excel logoExcel
  • Claude logoClaude
  • ChatGPT logoChatGPT
  • Perplexity logoPerplexity
  • Power BI logoPower BI
Formats and duration

Choose the depth that fits.

AI training delivery formats compared
FormatDurationGroup sizeOutcomeTypical deliverables
Executive briefing90 minutes to 2 hours4 to 25Shared understanding and prioritiesPre-read, oversight or priority list
Half-day workshop3 to 4 hoursUp to 40Core skills and 3 to 5 use casesPrompt library, use case list
1-day workshop6 to 7 hoursUp to 40Hands-on labs and 5 to 10 use casesPrompt library, templates, 30/60/90-day plan
2-day programme2 daysUp to 35Deeper labs, team-specific workflowsTemplates, workflow designs, adoption plan
Multi-sprint programme4 to 8 weeksUp to 30Use cases built and tested on live workWorking use cases, measured results
Train-the-trainer2 to 3 days6 to 15Internal champions who can run sessionsTrainer kit, slides, lab files
In the Room

Recent sessions.

CA Dhaval Kodilkar delivering his session on AI-enabled equity research to chartered accountants in Mumbai
1/6
ICAI National Conference on Capital Markets
The Leela, Mumbai · August 2026
CA Dhaval Kodilkar speaking about AI adoption at the National Conference on AI in Mumbai
1/6
National Conference on AI
Mumbai · August 2026
Larsen & Toubro team with CA Dhaval Kodilkar after a corporate AI training programme
1/2
AI training · Larsen & Toubro
Corporate AI training
CA Dhaval Kodilkar presenting an AI training session for Copy Cat Group in Nairobi, Kenya
1/4
AI training · Copy Cat Group
Nairobi, Kenya
UPL team group photo after an AI training programme with CA Dhaval Kodilkar
1/3
AI training · UPL
Corporate AI training
Galderma India team with CA Dhaval Kodilkar at the Galderma office after AI training
1/2
AI training · Galderma India
Finance and Commercial Excellence
View all events and photos
Deliverables

What your team keeps.

  • 5 to 10 implementable use cases mapped to your workflows
  • A prompt library for your team's tasks
  • Workflow templates and checklists
  • A one-page AI usage policy
  • A 30/60/90-day implementation plan with owners
  • Post-training Q&A support
FAQ

AI training for Audit & Compliance: common questions.

Standards do not prohibit technology. What matters is that procedures respond to assessed risks and are properly documented and reviewed. The programme aligns AI-assisted procedures with SA 240, SA 315 and SA 330 and covers documentation expectations.
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