Background for AI-Powered Accountants
I Wrote a Book on AI for Accountants. Here’s Why Excel Comes First.
AI-Powered Accounting with Excel and Power BI (Packt, July 2026) is a 372-page practical guide that shows accountants and finance professionals how to apply AI to real workflows using tools they already know.
Built around the HACK Framework and the Six Pillars of the AI-Powered Accountant, it includes 10 hands-on modules covering PDF extraction, reconciliation, management reporting, workbook restructuring, validation, and dashboards, each with downloadable data, solutions, and reusable prompt libraries.
The question I hear most from accountants is not “What is AI?”
It is “Show me what it does on a real workbook.”
I spent the last three years answering that question one session at a time: in Maven cohorts, at CCH Learning webinars across Australia and New Zealand, in the Future of Finance Lab, and in consulting rooms where finance teams were trying to work out whether AI was worth the disruption.
The answer was always too long for a webinar. Too specific for a LinkedIn post. Too practical for a whitepaper. So I wrote a book.
Key Terms for AI-Powered Accounting
AI-Powered Accountant An accounting or finance professional who uses AI tools alongside Excel, Power BI, and professional judgment to automate repetitive tasks while maintaining accuracy, control, and audit readiness.
HACK Framework A four-part adoption model (Hygiene, Automation, Capability, Knowledge) that helps accountants evaluate and integrate AI tools safely into existing workflows.
Six Pillars Six competency areas (Excel fluency, process and data discipline, AI concepts, technology assessment, growth mindset, and human skills) that define what an AI-powered accountant needs to develop.
Probabilistic system A system (like a large language model) that generates outputs based on statistical probability rather than fixed rules. Outputs can vary between runs and must be verified before use in financial reporting.
Deterministic system A system (like an Excel formula) that produces the same output every time for the same input. This is the standard accountants are trained to expect.
Prompt library A curated collection of tested, reusable prompts designed for specific accounting tasks such as reconciliation, reporting, or data extraction.
AI hallucination When an AI model generates output that appears plausible but contains fabricated or incorrect information; a critical risk in any finance context.
What is AI-Powered Accounting with Excel and Power BI about?
AI-Powered Accounting with Excel and Power BI is a practical guide for accountants who want to use AI in their actual work, not in theory. It covers how to apply tools like Claude, Copilot, Excel, and Power BI to real accounting workflows including reconciliation, financial reporting, PDF extraction, workbook restructuring, and validation.
The book splits into two parts. Part 1 (nine chapters) builds the conceptual foundation: what an AI-powered accountant is, how large language models work, why AI is fundamentally different from the tools accountants have used before, and how to evaluate technology without getting caught up in vendor marketing. Part 2 (ten modules) is where the work happens. Each module covers a specific accounting workflow with live data, step-by-step instructions, solutions, and a prompt library you can reuse in your own practice.
I wrote this because I kept seeing the same gap. Accountants were reading about AI, attending conferences about AI, and nodding along to presentations about AI. But when they sat down at their desk on Monday morning, they opened Excel and did the same thing they did last month. The gap was not awareness. It was application.
This book sits between “I know AI exists” and “I used AI to finish my reconciliation in half the time.” Every module was designed to be followed with your own workbook open beside you.
The early reviews reflect that. One reviewer described it as “a practical resource that helps bridge the gap between traditional finance processes and the next generation of AI-assisted workflows.”
Another said it “sticks to real accounting work” and is “worth going through slowly with your own spreadsheets open beside you.”
Who is the AI-Powered Accounting book written for?
This book is for anyone who works in accounting or finance and uses Excel. That includes CPAs, CAs, ACCA and AICPA candidates, management accountants, FP&A professionals, controllers, CFOs, auditors, finance transformation teams, and finance educators.
You need basic Excel skills. You do not need any prior AI experience.
I designed the book so it works whether you are a sole practitioner trying to save time on month-end, an FP&A analyst building reporting packs, or a finance leader evaluating whether to roll out AI tools across your team. The foundational chapters in Part 1 give you the conceptual vocabulary. The practical modules in Part 2 give you the workflows. You can go front to back, or skip to the module that matches your most pressing problem.
One reviewer, Thomas Rice (a 24x Microsoft certified professional and 2x Excel Expert), put it simply: “If you enjoy building in Excel, you’ll love this book too.”
What is the HACK Framework for accountants?
The HACK Framework is a four-part model for adopting AI safely in accounting: Hygiene, Automation, Capability, and Knowledge. It gives accountants a structured way to evaluate their AI readiness and plan adoption, rather than experimenting with random tools and hoping for the best.
Hygiene is about data quality and process discipline. Before you introduce AI to any workflow, your data needs to be clean, your processes documented, and your chart of accounts needs to make sense. I learned this the hard way across multiple CFO roles: garbage in, garbage out applies to AI even more than it applies to Excel.
Automation identifies which current tasks are suited to AI. Not everything should be automated. The framework helps you distinguish between tasks where AI adds speed and accuracy (extracting data from PDFs, drafting reconciliation summaries) and tasks where human judgment is non-negotiable (assessing materiality, making disclosure decisions).
Capability is about building the technical skills to use AI well. That includes prompt engineering, understanding how language models generate outputs, and knowing how to verify what they produce.
Knowledge is the ongoing commitment to learning, governance, and staying current. AI tools change fast. The prompts that worked six months ago may not be the right approach today. The HACK Framework treats this as a cycle, not a destination.
What are the Six Pillars of an AI-Powered Accountant?
The Six Pillars define six competency areas that accountants need to develop to work with AI: Excel fluency, process and data discipline, AI concepts, technology assessment, growth mindset, and human-centric skills.
- Excel fluency comes first because Excel is where most accounting work still happens. AI does not replace Excel. It accelerates what you can do inside it. If you cannot structure a workbook properly, AI cannot help you structure it either.
- Process and data discipline means understanding your workflows well enough to identify where AI fits. You cannot automate a process you have not mapped.
- AI concepts covers how large language models actually work, what probabilistic outputs mean for financial reporting, and how to spot hallucinations before they reach a report.
- Technology assessment gives you a framework for evaluating AI tools on reliability, cost, integration, scalability, security, compliance, vendor stability, and user adoption, not on whichever demo looked most impressive at the last conference.
- Growth mindset addresses the resistance many accountants feel when confronted with AI. I have seen experienced professionals freeze when asked to type a prompt. This pillar is about building confidence through repetition, not through motivation.
- Human-centric skills are what become more valuable as AI handles routine work: judgment, communication, empathy, and strategic thinking. These are the skills clients pay for. They are the skills AI cannot replicate.
What practical AI workflows can accountants build with Excel and Power BI?
The book covers ten dedicated modules, each targeting a specific accounting workflow with live data, solutions, and a reusable prompt library.
| Module | What it covers? |
|---|---|
| 1. Foundations and Formula Ideas | Using AI to expand your Excel formula toolkit and automate formula creation |
| 2. PDF Extraction and Analysis | Extracting structured financial data from annual report PDFs, with source checks and recalculations |
| 3. Transaction Reconciliation and Financial Control | AI-assisted reconciliation with automated matching, exception flagging, and control verification |
| 4. Management Reporting and Analysis | Automating commentary, variance analysis, and reporting pack preparation |
| 5. Mapping Tables and Source Systems | Using AI to create and maintain chart of accounts mappings between systems |
| 6. Workflow Analysis on a Real Workbook | Applying AI to diagnose the structure, logic, and risks in an existing workbook |
| 7. Restructuring a Messy Workbook | Using AI to clean and restructure a workbook that has accumulated years of ad-hoc changes |
| 8. Validation, Checks, and Comprehensive Audit | Building audit-grade validation frameworks that verify AI outputs against source data |
| 9. Dashboards and Data Visualisation | Creating dashboards in Excel and Power BI with AI-assisted layout, measures, and visual design |
| 10. Skills Library and Digital Twin | Turning repeatable workflows into reusable AI Skills and building a personal prompt library |
Every module includes downloadable data so you can follow along. The solutions are included so you can check your work. The prompt libraries are designed to be reused in your own practice, not read once and forgotten.
Does using AI in accounting create audit risk?
Yes. AI introduces risks that accountants must actively manage, particularly hallucinations and the probabilistic nature of language model outputs. The book dedicates an entire module (Module 8) to validation, checks, and audit readiness, and weaves governance throughout every other module.
The core issue is that accountants are trained to work with deterministic systems. When you write an Excel formula, the same inputs produce the same output every time. When you use a large language model, the same prompt can produce different outputs on different runs. That is not a flaw in the technology; it is how probabilistic systems work. But it means the verification step is not optional.
The book covers three layers of risk management:
- Prompt design: Writing prompts that constrain outputs and reduce variability. This is not about clever wording. It is about structuring requests so the model has less room to fabricate.
- Output verification: Checking AI outputs against source data, recalculating figures, reviewing disclosures, and cross-referencing with known benchmarks. Module 8 provides a full framework for this.
- Governance and privacy: Establishing policies for when and how AI tools can be used in finance workflows, including data handling, client confidentiality, and regulatory compliance.
“The chapter on governance and privacy is important and often missing from similar books.”Om S, Amazon review
That matches what I have seen repeatedly: accountants are enthusiastic about AI productivity gains but rarely stop to ask what happens to the data they paste into a prompt. The book addresses this head-on.
Frequently asked questions
What is AI-Powered Accounting with Excel and Power BI about?
AI-Powered Accounting with Excel and Power BI is a 372-page guide by Lance Rubin, published by Packt in July 2026. It teaches accountants and finance professionals how to apply AI tools (Claude, Copilot, Excel, Power BI) to real accounting workflows. The book includes two frameworks (HACK and Six Pillars) and ten practical modules covering PDF extraction, reconciliation, reporting, workbook restructuring, validation, and dashboards, each with downloadable data and reusable prompt libraries.
Is this AI-Powered Accounting book suitable for accountants with no AI experience?
Yes. The book assumes basic Excel knowledge but no prior AI experience. Part 1 covers foundational concepts including how large language models work, what makes AI different from traditional tools, and how to evaluate technology. Part 2 provides ten practical modules with live data, solutions, and prompt libraries so you can follow along at your own pace.
What is the HACK Framework for accountants?
The HACK Framework stands for Hygiene, Automation, Capability, and Knowledge. It is a four-part adoption model created by Lance Rubin to help accountants integrate AI into workflows safely. Hygiene covers data quality and process discipline. Automation identifies tasks suited to AI. Capability builds technical skills including prompt engineering. Knowledge ensures ongoing learning and governance.
What are the Six Pillars of an AI-Powered Accountant?
The Six Pillars are Excel fluency, process and data discipline, AI concepts, technology assessment, growth mindset, and human-centric skills. They define the competency areas an accountant needs to develop to work with AI. The framework recognises that AI adoption requires process discipline, technical knowledge, and the judgment skills that AI cannot replicate.
Does using AI in accounting create audit risk?
AI introduces risks including hallucinations (fabricated outputs that appear plausible) and probabilistic outputs that can vary between runs. The book dedicates Module 8 to validation, checks, and audit readiness. Every module includes steps for checking AI outputs against source data, recalculating figures, and maintaining audit trails. The approach is to use AI as an assistant with human review at every decision point.
How is this book different from other AI books for accountants?
The book is written by a practitioner (Chartered Accountant, ex-PwC, ex-KPMG, multiple CFO roles) rather than a technology evangelist. It focuses on specific accounting workflows using tools finance teams already know (Excel, Power BI) alongside AI assistants (Claude, Copilot). Each module includes downloadable data, solutions, and reusable prompt libraries. The book treats Excel as a serious professional tool and prioritises governance and audit readiness alongside automation.
Where can I buy AI-Powered Accounting with Excel and Power BI?
The book (ISBN: 978-1808087950) is available on Amazon as a paperback and Kindle eBook, and through Packt Publishing directly. The paperback includes a free DRM-free PDF version with email sign-up and proof of purchase. It was released on 30 July 2026 and runs to 372 pages.
If you want to dive in deeper take a look at our knowledge hub and the Future of Finance Lab
Lance Rubin is CEO and Founder of Model Citizn and EXL Cloud. He is a Chartered Accountant, FMI Certified Trainer, co-author of the CA ANZ Financial Modelling Study Guide, and creator of the AI-Powered Accountant programme on Maven, currently live at Level 1 with Level 2 in design, and author of the companion book “AI-Powered Accounting with Excel and Power BI” (Packt). He has worked at PwC, KPMG, Investec, and NAB, and is based in Melbourne, Australia.