Master AI Accountant & CPA Certification · Digital course
MAAC Level 4 — Master AI Accountant & CPA Certification
Self-paced enrollment in Level 4 of the Master AI Accountant & CPA Certification: Lead AI in an accounting practice or finance function: advanced applications in assurance, tax advisory, and forecasting; firm-level governance and model risk management; vendor and security assessment; the regulatory and independence landscape; and independent verification of AI in internal control over financial reporting.
- Modules
- 14
- Estimated time
- 40 hours
- Access
- Self-paced
Single-user enrollment
$649.00
Enrollment includes
Controlled AI training built for accounting work
Evaluate AI tools for accounting use cases, limitations, data handling, and control requirements.
Design prompts and review procedures that produce traceable, decision-ready work.
Apply AI to close, reporting, tax, audit, forecasting, and financial analysis workflows.
Automate repetitive processes without removing approvals, reconciliations, or accountability.
Curriculum at a glance
From AI fundamentals to accounting firm growth
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Module 01
What a Firm Owes: Accountability for AI Across an Accounting Firm
Level 4 opens with accountability: why an accounting firm spreads responsibility for AI until nobody holds it, how to place it with named owners, what Circular 230 §10.36 asks of those with principal authority for a tax practice, where AI sits in SQMS 1 or QC 1000, and what no tool or vendor can take off a professional's hands.
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Module 02
Writing the Firm AI Governance Programme
How to write an AI governance programme sized to the firm: a permitted-use inventory and approved tools, a way to bring shadow AI into the open, decision rights and stop authority, supervision, records and a review cycle, all placed inside the firm's quality management and tax procedures, with NIST AI RMF 1.0 and ISO/IEC 42001 kept in their voluntary place.
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Module 03
The AI Decision Record and Surviving Partner Turnover
How to record why each AI governance decision was made, by whom and on what evidence, so that a successor partner, peer reviewer or inspector who was not in the room can understand it; how to keep the firm's AI policies and verification steps as evidence; and how to keep the record current through annual evaluations, partner departures and rule changes.
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Module 04
The Regulatory Map of Accounting AI Obligations
Which authorities bind the firm, whom they bind and for which work: state accountancy law and the model UAA, AICPA membership, practice before the IRS, audit and quality standards by entity type, the FTC Safeguards Rule for tax preparation, Colorado SB 26-189 and the amended EU AI Act, and how leadership decides what a change means.
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Module 05
Due Diligence on an Accounting AI Supplier
How a firm assesses an AI supplier before client data reaches it: data handling, security, testing evidence and change management; reading a service organisation report for report type, categories, system and period; building reasonable assurance about confidentiality procedures; and telling an answer from an evasion when a supplier will not say.
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Module 06
Testing Evidence, Benchmarks and What "Validated" Means
How firm leaders read an evidence claim about AI: what was measured, by whom, on what data and with which model; what the published studies on accounting tasks can and cannot support; why exam and benchmark scores are not client-work results; and how to design the firm's own acceptance test before calling a tool validated.
MAAC
Levels in this programme
- Level 1 MAAC Level 1 — AI Foundations for Accounting
- Level 2 MAAC Level 2 — Certified AI Accounting Professional
- Level 3 MAAC Level 3 — Advanced AI Accounting Operations
- Level 4 MAAC Level 4 — Master AI Accountant & CPA Certification You are viewing this level
- Level 5 MAAC Level 5 — AI Accounting Firm Automation Specialist
- Level 6 MAAC Level 6 — Certified AI Accounting Instructor