A focused course, tailored for you
The Audit Managing Director AI Engagement Refresh
An AI engagement refresh playbook for Audit Managing Directors at the Big4 in 2026: AI-augmented audit testing framework, PCAOB-defensible documentation, customer compliance committee briefing, audit-engagement-level governance integration.
Audit Managing Directors at the Big4 carry 18 active engagements where each customer, each compliance committee, and each PCAOB inspector asks the same AI question. The course delivers the unified answer.
$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.
Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.
Why this course
Audit Managing Directors at the Big4 (the firm, the firm, the firm, the firm) carry 18-to-24 active audit engagements per partner-cycle. Each customer asks whether the audit team uses AI. Each customer compliance committee asks for documentation of how. Each PCAOB inspector asks the same. The MD does not yet have a unified answer that holds across all eighteen engagements. The default approach is to answer the question engagement-by-engagement and the MD time burns.
The course works through the unified answer. The AI-augmented audit testing framework. The PCAOB-defensible documentation pattern. The customer compliance committee briefing framework. The audit-engagement-level governance integration. The customer-side AI use-case taxonomy. The customer-side AI impact-assessment framework. The customer-side AI human-oversight framework. The customer-side AI audit-trail integration. The customer-side AI bias-monitoring framework. The MD-portfolio-level reporting framework. The engagement structure. Twelve modules with deliverables. Plus a hand-built playbook for your specific audit portfolio.
What you walk away with
- A documented AI-augmented audit testing framework.
- A PCAOB-defensible documentation pattern.
- A customer compliance committee briefing framework.
- An audit-engagement-level governance integration.
- A customer-side AI use-case taxonomy.
- A customer-side AI impact-assessment framework.
- A customer-side AI human-oversight framework.
- A customer-side AI audit-trail integration.
- An MD-portfolio-level reporting framework.
- A 10-week build plan.
The 12 modules
Module 1. The 2026 Big4 audit AI landscape
Walkthrough of the 2026 Big4 audit AI landscape. The the firm AI audit product position. The the firm AI audit product position. The the firm AI audit product position. The the firm AI audit product position. The PCAOB inspection priorities. The SEC enforcement priorities. The competitive landscape across Big4 audit practices. The strategic decisions an Audit Managing Director faces in 12-month portfolio planning.
Module 2. AI-augmented audit testing framework
Build the AI-augmented audit testing framework. The natural-language-processing pattern for audit testing. The anomaly-detection pattern. The risk-scoring pattern. The audit-evidence-collection pattern. The integration with the customer-side model risk management framework. The integration with the customer-side EU AI Act and NIST AI RMF framework where applicable. Plus the worked example for the customer's first three AI-augmented audit testing use cases.
Module 3. PCAOB-defensible documentation pattern
Build the PCAOB-defensible documentation pattern. The audit-testing documentation framework. The audit-evidence chain documentation. The audit-judgement documentation framework. The audit-review documentation framework. The integration with the customer-side audit-workpaper framework. The integration with the customer-side audit-quality cadence. Plus the worked example for the customer's first three PCAOB-defensible documentation packages.
Module 4. Customer compliance committee briefing framework
Build the customer compliance committee briefing framework. The committee-briefing-deck structure. The committee-question-response framework. The committee-evidence-presentation framework. The committee-decision-support framework. The customer-side committee escalation framework. Plus the worked example for the customer's typical compliance committee briefing. Includes the integration with the customer's existing audit-committee cadence, the integration with the customer's existing executive-committee cadence, and the worked example for the customer's typical multi-committee briefing pattern.
Module 5. Audit-engagement-level governance integration
Build the audit-engagement-level governance integration. The audit-engagement-level AI governance framework. The audit-engagement-level model risk management integration. The audit-engagement-level audit-quality integration. The audit-engagement-level audit-risk integration. The integration with the customer-side audit-engagement cadence. Plus the worked example for the customer's typical audit-engagement governance cadence.
Module 6. Customer-side AI use-case taxonomy
Build the customer-side AI use-case taxonomy. The customer-side use-case identification. The customer-side use-case classification. The customer-side use-case prioritisation. The customer-side use-case roadmap framework. The integration with the customer-side AI-strategy cadence. Plus the worked example for the customer's first three AI use cases under the taxonomy.
Module 7. Customer-side AI impact-assessment framework
Build the customer-side AI impact-assessment framework. The risk identification approach. The risk-classification framework. The risk-treatment plan structure. The stakeholder consultation framework. The documentation pattern. The review cadence. The integration with the customer's existing privacy-impact-assessment framework. Plus the worked example for the customer's first three impact assessments.
Module 8. Customer-side AI human-oversight framework
Build the customer-side AI human-oversight framework. The decision-point design. The override pattern. The audit-log of overrides. The training framework for the customer-side decision-makers. The integration with the customer's existing operational-workflow cadence. Plus the worked example for the customer's first three human-oversight implementations.
Module 9. Customer-side AI audit-trail integration
Build the customer-side AI audit-trail integration. The decision-log structure. The override-log structure. The model-version-log structure. The integration with the customer's existing audit-trail infrastructure. The integration with the customer's existing SIEM. The integration with the customer's existing GRC platform. Plus the worked example for the customer's typical audit-evidence response.
Module 10. Customer-side AI bias-monitoring framework
Build the customer-side AI bias-monitoring framework. The bias-identification approach. The bias-measurement framework. The bias-mitigation framework. The customer-side bias-monitoring cadence. The integration with the customer-side model risk management framework. Plus the worked example for the customer's first three bias-monitoring implementations. Includes the integration with the customer's existing data-science platform, the customer's existing bias-mitigation tooling, and the integration with the customer's existing model risk management cadence.
Module 11. MD-portfolio-level reporting framework
Build the MD-portfolio-level reporting framework. The integrated portfolio dashboard. The portfolio-level audit-engagement-status dashboard. The portfolio-level PCAOB-inspection-readiness dashboard. The portfolio-level customer compliance committee dashboard. The integration with the customer-side audit-quality cadence. Plus the worked example for the MD-portfolio briefing pack. Includes the integration with the audit firm's portfolio-management cadence, the audit firm's senior-leadership reporting cadence, and the worked example for the MD's typical quarterly portfolio review.
Module 12. Your 10-week build plan
Week by week. Weeks 1-2: landscape and AI-augmented audit testing framework. Weeks 3-4: PCAOB-defensible documentation pattern and customer compliance committee briefing. Weeks 5-6: audit-engagement-level governance integration and customer-side AI use-case taxonomy. Weeks 7-8: impact-assessment, human-oversight, audit-trail, bias-monitoring. Weeks 9-10: MD-portfolio-level reporting framework, engagement structure. Deliverable: a unified AI engagement refresh playbook ready for the next portfolio cycle.
How this addresses your situation
Specific modules that map to what you said you are dealing with.
Customer asks AI question → Module 2.
Customer compliance committee asks for documentation → Module 3.
PCAOB inspector asks → Module 3.
Audit engagement governance → Module 5.
Customer AI use-case taxonomy → Module 6.
Customer impact assessment → Module 7.
Customer human oversight → Module 8.
Customer audit trail → Module 9.
Customer bias monitoring → Module 10.
MD portfolio reporting → Module 11.
What you get with this course
- The 12-module course delivered as text plus downloadable templates.
- Templates and worked examples for every module.
- A hand-built playbook generated for your specific audit portfolio.
- Three reference frameworks from peer Big4 Audit Managing Directors.
- Scripted talking points for the customer compliance committee and PCAOB inspector engagement.
What you will have in hand by Day 1, Week 1, Month 1
Day 1: AI-augmented audit testing framework scaffold drafted.
Week 4: PCAOB-defensible documentation and customer compliance committee briefing designed.
Week 8: Audit-engagement-level governance, use-case taxonomy, impact-assessment, human-oversight operational.
Week 10: Refresh playbook ready for next portfolio cycle.
Before and after
Before
Each engagement answered separately. MD time burned. Customer compliance committees see fragmented progress. PCAOB inspector sees same.
After
Unified answer. Each engagement holds. Customer compliance committees see coherent progress. PCAOB inspector sees same.
What happens if you do not address this
PCAOB inspection cadence does not pause. Customer compliance committee expectations tighten in 2026. Audit Managing Directors who do not unify compound inspection risk into 2027.
Who it is for
For Audit Managing Directors at the Big4, principal audit consultants at peer Big4 firms, senior audit leaders at mid-tier audit firms, and senior audit partners at boutique audit practices.
Who this is NOT for. Pure non-audit practitioners. Practitioners with no audit engagement experience. Pure non-audit roles.
How it arrives
Text-based course via LMS, plus downloadable templates and worked examples and the hand-built playbook.
Time investment. Roughly 18 hours of reading and 60 to 120 hours of build effort across the 10-week plan.
Why $199 is the right number
External Big4 audit refresh consultants charge from 100,000 to 500,000 USD for unified-framework programmes. 199 USD buys the focused playbook and the implementation document for your audit portfolio.
FAQ
Does this cover non-audit-engagement adjacencies?
Module 5 covers non-audit-engagement adjacencies.
What about the customer-side ESG audit?
Module 7 covers ESG audit adjacency.
Does this cover the customer-side internal-audit function adjacency?
Module 4 covers internal-audit adjacency.
What is in the implementation playbook for me specifically?
Refresh playbook tuned to your audit portfolio, customer compliance committee briefing pre-loaded with your typical customer sector, MD-portfolio reporting matched to your typical portfolio cadence.
30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
