Do I need to be a manager or partner to take Level 3?

No, but the course assumes you own or influence a process: a close, a tax preparation pipeline, an audit fieldwork plan, or a client accounting services workflow. Senior staff who are about to take on process ownership will benefit.

Does the capstone require me to change a real workflow at my firm?

No. The capstone is a redesign of a workflow you know well, built and tested on fictional data. Many learners go on to implement it, but implementation is not assessed and no client data may be used in the submission.

Do I need technical skills for the integration module?

No programming is required. The integration module teaches you to specify what an integration must do and must not do — permissions, validation, exception handling, change control — so that you can direct a vendor or an IT colleague and evaluate what they deliver.

What do I receive when I finish?

A Level 3 certificate issued by AI Coalition Network with a public verification page and QR code. It records completion of this course and its capstone only; it is not a licence, not professional education hours, and not an approval from any state board or professional body.

Master AI Accountant & CPA Certification · Level 3 · Advanced Operations

Advanced AI Accounting Operations

Level 3 of the Master AI Accountant & CPA Certification

Design AI-assisted engagement workflows that fit a firm's system of quality management: standard operating procedures with control points, a retrieval library built from primary sources, safe integrations with the ledger and tax software, review sampling, escalation and stop rules, and honest performance measurement.

Enroll in Level 3 Full curriculum Level 2 first

Level: 3 of 6
Difficulty: Advanced
Estimated time: 16 hours
Modules: 5
Curriculum: Version 2026.3

About this level

Level 2 taught you to use AI well on your own work. Level 3 is about the firm: how a close, a tax season, or an audit fieldwork plan is redesigned so that AI sits inside a controlled process rather than on individual desks. The course is written for the people who own processes — managers, controllers, tax and audit leads, and practice administrators — and it ends with a capstone in which you redesign one real workflow, on fictional data, and defend the design.

The five modules follow the life of a workflow. First you map an engagement end to end, find the steps where a model helps, and classify each step by the consequence of an error, because a wrong internal draft and a wrong filed return are not the same risk. Then you build the knowledge the firm's tools will draw on — Codification, Code, regulations, IRS guidance, firm methodology — and learn how to keep it current, because the most expensive research error in accounting is the right rule applied to the wrong year. Then you connect AI to the systems the firm already runs: the general ledger, bank feeds, document intake, tax software, and audit platforms, with segregation of duties, exception queues, and change control intact. Then you design the quality assurance that makes the whole thing defensible: sampling plans, an error taxonomy, stop rules, and the auditor's view of AI-generated evidence under AU-C 500 and the PCAOB's 2024 amendments on technology-assisted analysis. Finally you measure what changed — throughput, accuracy, review cost, realisation — and work through two extended case studies.

Everything is anchored in the standards a firm is already accountable to. The AICPA quality management standard requires a firm to identify quality risks, including those arising from technology, and design responses; Level 3 shows what those responses look like when the technology is a language model. The FTC Safeguards Rule and the firm's written information security plan govern what data the workflow may touch. Section 7216 governs what tax return information may flow to which system. Circular 230 and the SSTS govern what a tax workflow may conclude without a practitioner.

This is an independent educational course offered by AI Coalition Network. It does not replace CPA licensure, enrolled agent status, the rules of any state board of accountancy, or the professional standards that govern tax, attest, and accounting work.

What you will be able to do

Map an accounting, tax, or audit workflow end to end, identify the steps where AI adds value, and classify each step by the consequence of an error.
Write standard operating procedures that embed AI steps with named control points, reviewer roles, and stop rules, and relate them to the firm's system of quality management.
Build and maintain a retrieval library from primary sources with version control, effective-date tracking, and retirement rules, and test its accuracy.
Design integrations between AI tools and the general ledger, document intake, tax software, and audit platforms that preserve segregation of duties, exception handling, and change control.
Create a quality assurance plan with sampling, an error taxonomy, escalation paths, and stop rules, and explain how AI-generated information is evaluated as audit evidence.
Measure the performance of an AI-assisted workflow honestly, including review cost and error cost, and present the results to firm leadership.

Modules and lessons

Module 01

Workflow Design for Accounting Engagements

Map a close, a tax preparation pipeline, or an audit fieldwork plan end to end, find the steps where AI helps, classify each step by the consequence of an error, and write a standard operating procedure with control points that fits the firm's quality management system.

Mapping an Engagement and Finding the AI-Eligible Steps 45 min
Risk Classification of AI Tasks by Consequence 40 min
Writing SOPs with Control Points and Stop Rules 50 min

Module 02

Knowledge Bases and Retrieval for Firm Standards

Build a retrieval library from the Codification, the Code, regulations, IRS guidance, and firm methodology; manage currency and effective dates so the right year's rule is retrieved; and test retrieval quality before staff rely on it.

Building a Retrieval Library from Primary Sources 45 min
Currency Management: Effective Dates and Retiring Guidance 40 min
Retrieval Quality Testing and Citation Verification Sampling 40 min

Module 03

Automation and Integrations in the Finance Stack

Automate transaction classification, reconciliation matching, and document intake with review queues and exception handling, and connect AI tools to the general ledger, tax software, and audit platforms without breaking segregation of duties, validation, or change control.

Automating Classification and Reconciliation with Review Queues 45 min
Document Intake and Extraction for Tax and Audit 45 min
Integrating AI with the Ledger, Tax Software, and Audit Platforms Safely 50 min

Module 04

Quality Assurance and Escalation

Design sampling and review plans for AI outputs with a shared error taxonomy, define escalation paths and stop rules that halt an automation when it should be halted, and understand how auditors evaluate AI-generated information as evidence.

Sampling and Review Plans for AI Outputs 45 min
Escalation Paths and Stop Rules in Practice 40 min
The Auditor's View: AI-Generated Information as Evidence 45 min

Module 05

Performance Measurement and Case Studies

Measure an AI-assisted workflow honestly — throughput, accuracy, review cost, error cost, and realisation — present results to leadership, and work through two extended case studies: a growing company's month-end close and a mid-size firm's busy-season tax pipeline.

Measuring Throughput, Accuracy, and Review Cost 40 min
Case Study: Month-End Close at a Growing Company 45 min
Case Study: Busy-Season Tax Preparation at a Mid-Size Firm 45 min

Assessment

Level 3 Final Examination: Advanced AI Accounting Operations

Questions: 18
Time limit: 80 minutes
Passing score: 80%
Attempts: 3

Questions are drawn at random from a reviewed bank. Every module also has a knowledge check.

Capstone project

Workflow Redesign Capstone: One Engagement, Fully Controlled

Workflow map with fit, data-class, and consequence columns, candidate list, and exclusions with reasons.
Risk classification of every candidate step with the four classification questions answered.
Complete SOPs for every Class 2 or higher step using the template, including stop rules, escalation, monitoring, and change control, with section 7216 basis and WISP references.
Integration specification (if applicable) with permissions, data flows, control totals, exception handling, logging, and acceptance test; retrieval library design (if applicable) with inclusion rules, effective-date handling, and test set.
Pilot results on fictional data: throughput, accuracy against a manual baseline, review cost, error cost, and a one-page leadership summary stating what is not yet known.
Defence memo to the quality partner identifying the single control whose removal would fail the workflow, with the standards-based reason.

Reviewed by a person against a published rubric. Passing score 70%.

Completion and certificate

Complete every published lesson in all five modules.
Pass each module knowledge check with a score of 80 percent or higher.
Pass the Level 3 final examination with a score of 80 percent or higher within the allowed attempts.
Submit the workflow redesign capstone and achieve a passing rubric score.
Acknowledge the academic-integrity statement before each examination attempt.

On completion you receive the certificate Advanced AI Accounting Operations (Level 3 of 6) with a unique number, a QR code, and a public verification page. Completing this level alone does not complete the master certification.

Frequently asked questions

Do I need to be a manager or partner to take Level 3?: No, but the course assumes you own or influence a process: a close, a tax preparation pipeline, an audit fieldwork plan, or a client accounting services workflow. Senior staff who are about to take on process ownership will benefit.
Does the capstone require me to change a real workflow at my firm?: No. The capstone is a redesign of a workflow you know well, built and tested on fictional data. Many learners go on to implement it, but implementation is not assessed and no client data may be used in the submission.
Do I need technical skills for the integration module?: No programming is required. The integration module teaches you to specify what an integration must do and must not do — permissions, validation, exception handling, change control — so that you can direct a vendor or an IT colleague and evaluate what they deliver.
What do I receive when I finish?: A Level 3 certificate issued by AI Coalition Network with a public verification page and QR code. It records completion of this course and its capstone only; it is not a licence, not professional education hours, and not an approval from any state board or professional body.

Sources consulted

Primary sources that shaped this level. Each is labelled by what kind of authority it is; consult the original for the current text.

AI Coalition Network — Certification Educational Standard: Human Review of AI-Assisted Professional Work AI Coalition Network educational standard · accessed Sep 14, 2026
AICPA Auditing Standards Board — Statement on Auditing Standards No. 142, Audit Evidence (AU-C Section 500) Standard or framework · published Jul 1, 2020 · accessed Sep 2, 2026
AICPA Auditing Standards Board — Statement on Quality Management Standards No. 1, A Firm's System of Quality Management Standard or framework · published Jun 1, 2022 · accessed Sep 3, 2026
American Institute of Certified Public Accountants (AICPA) — Statements on Standards for Tax Services No. 1–4 (effective January 1, 2024) Professional rule · published Jan 1, 2024 · accessed Sep 3, 2026
Committee of Sponsoring Organizations of the Treadway Commission (COSO) — Internal Control — Integrated Framework (2013) Standard or framework · accessed Sep 2, 2026
Federal Trade Commission — FTC Safeguards Rule: What Your Business Needs to Know (16 CFR Part 314) Industry guidance · accessed Sep 3, 2026
Internal Revenue Service — Publication 5708 (Rev. 8-2024), Creating a Written Information Security Plan for your Tax & Accounting Practice Industry guidance · published Aug 1, 2024 · accessed Sep 3, 2026
National Institute of Standards and Technology — Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 Standard or framework · published Jan 26, 2023 · accessed Sep 14, 2026
OWASP Foundation — OWASP Top 10 for LLM Applications 2025 Standard or framework · published Nov 18, 2024 · accessed Sep 14, 2026
Public Company Accounting Oversight Board — AS 1105: Audit Evidence Standard or framework · accessed Sep 3, 2026
Public Company Accounting Oversight Board — Amendments Related to Aspects of Designing and Performing Audit Procedures that Involve Technology-Assisted Analysis of Information in Electronic Form (PCAOB Release No. 2024-007) Standard or framework · published Jun 12, 2024 · accessed Sep 2, 2026
U.S. Department of the Treasury / Internal Revenue Service — Treasury Department Circular No. 230 (Rev. 6-2014): Regulations Governing Practice before the Internal Revenue Service, 31 CFR Part 10 Regulation · published Jun 12, 2014 · accessed Sep 3, 2026
United States Code (via Legal Information Institute, Cornell Law School) — 26 U.S.C. § 7216 — Disclosure or use of information by preparers of returns Legal requirement · accessed Sep 3, 2026

Who it is for

Accounting and tax managers, controllers and assistant controllers, audit seniors and managers, client accounting services leads, practice administrators, and partners responsible for firm processes and quality. Learners should have completed Level 2 and be comfortable with the prompt library, tie-out log, and data classification habits it teaches.

Prerequisites

Level 2, Certified AI Accounting Professional, must be completed first. Learners should have access to a fictional or sandbox environment for the integration exercises; no production client data is used at any point.

Program roadmap

L1 · AI Foundations for Accounting Available
L2 · Certified AI Accounting Professional Available
L3 · Advanced AI Accounting Operations Available
L4 · Master AI Accountant & CPA Certification Available
L5 · AI Accounting Firm Automation Specialist Available
L6 · Certified AI Accounting Instructor Available

Review cycle

Curriculum version 2026.3. Last reviewed Sep 2, 2026. Next review scheduled Sep 2, 2027.

Independent professional education

MAAC is an independent professional education program offered by AI Coalition Network. It is not a professional license, does not replace licensing or regulatory requirements, and is not endorsed by any regulator, licensing authority, or professional body. No professional education hours or approvals are claimed.