AI+ Auditors

Precision, Efficiency and Insight in Every Audit

Your client uses AI. Your audit needs a methodology.

Your clients are using AI in financial processes you're auditing — and you don't yet have a methodology for it. Meanwhile, your team is prompting chatbots informally, with no standards and no oversight. This book gives external auditors the ASSURE Protocol for assessing audit risk when AI generates the numbers you audit, internal auditors a structured AI risk agenda for the board, and every auditor a prompt library and analytics framework for immediate practice. Built by AI engineers who understand the technology, written for professionals who have to sign things.

Tier

Tier 2 · Job Roles

Category

Finance

Format

Guide

Updated

Q2 2026

Read full bookSee in 2 bundles

Inside

20 ready-made, market-tested prompts: audit findings, workpapers, management letters, audit committee reports, ASSURE documentation
The ASSURE Protocol — six-step methodology for auditing AI in client financial processes
An audit data analytics design discipline — full-population testing with appropriate professional oversight
Dual tracks for external auditors (engagement-level) and internal auditors (function-level)
A 30-day plan that fits Big 4, mid-tier, regional practice, or internal audit team

Who this is for

External auditors: partners, directors, managers, and senior associates at public accounting firms — Big 4, mid-tier, and regional practices. They audit financial statements, report to audit committees, and hold personal professional accountability for audit opinions. They are qualified accountants (ACA, ACCA, CPA, CA, or equivalent) with registration under IAASB, national auditing standards, or PCAOB. They manage audit engagements, supervise junior staff, and sign or co-sign audit opinions.

Also for:Internal audit leaders and senior internal auditors — Chief Audit Executives (CAEs), Heads of Internal Audit, and Internal Audit Managers — working within organisations across all sectors. They report to audit committees, advise the board and senior management on risk and controls, and increasingly need to assess AI risk as part of their mandate. Also relevant to: risk and assurance professionals, financial controllers with audit oversight responsibilities, and compliance professionals who manage audit relationships.

You’ll be able to

Apply the PRISM Prompting Framework to at least five core audit tasks — workpaper drafting, audit findings memos, management letters, board reports, and internal audit communications
Apply the AI Opportunity Matrix to map audit function opportunities across Automate / Augment / Protect / Explore quadrants, with audit-specific examples for each
Design AI-assisted audit data analytics procedures, including anomaly detection, population analysis, and exception testing, with appropriate professional oversight built in
Apply the ASSURE Protocol to assess audit risk and design proportionate audit procedures when an auditee uses AI in material financial reporting processes
Evaluate the professional standards, independence, and ethics implications of AI use in audit — for both external and internal audit contexts

What’s inside

Diagnostic: How AI-Ready Is Your Audit Practice?
Chapter 1: AI in Audit Right Now
Chapter 2: What Auditors Need to Know About AI
Chapter 3: AI for Your Audit Work — Everyday Productivity
Chapter 4: AI for Audit Data Analytics
Chapter 5: Auditing AI — The ASSURE Protocol
Chapter 6: Internal Audit's AI Agenda
Chapter 7: Professional Standards, Ethics, and Independence
Chapter 8: Beyond Chat — Automation and the Future of Audit
Chapter 9: Your 30-Day Audit AI Action Plan
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Written by engineers who build production AI systems — for auditors who evaluate evidence for a living.

Appears in 2 bundles

IND-02The Finance AI Pack IND-14The ESG & Sustainability AI Pack

Reads well with

AI+ Auditors

Often packaged with this title.