book

AI-Powered Accounting with Excel and Power BI

Name: AI-Powered Accounting with Excel and Power BI
Author: Lance Rubin
ISBN: 9781808087950

by Lance Rubin

July 2026

Intermediate

372 pages

8h 35m

English

Packt Publishing

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Preface
Download the Module Chapter kitFree benefits with your book
Part 1: Foundations and Framework for Change
Chapter 1: Defining the AI-Powered Accountant
Real-world perspectives on why being AI-powered mattersThe core definition"Strategically," not opportunistically"3–5X efficiency gains," measured, not assumed"Trust, accuracy, and professional judgment" is non-negotiableWhy now: the disruptive contextThe gaps in accounting and finance are wideningThe Big Four have already movedThe talent pipeline is breaking, not bendingThe cost of using AI badly is higher than the cost of not using itAugmentation vs.automationAutomationAugmentationWhy the distinction mattersThe third-year associate analogyThe personal trajectory: where this book came fromSummary
Chapter 2: The HACK Framework
The origin of HACKThe HACK hierarchy: why order mattersH – hygiene: the foundationWhy is hygiene the first letter of HACKHygiene self-diagnostic: ten questions for your most-used spreadsheetActionable hygiene stepsA – automation: the acceleratorOrder of operations: automation must follow hygieneThree categories of automation in financeThe deterministic discipline of automationActionable automation stepsC – capability: the toolboxThe capability paradox: AI requires more Excel knowledge, not lessActionable capability stepsK – knowledge: the human edgeWhy knowledge is the apex of the frameworkActionable knowledge stepsHACK in the wild: trust and riskHACK applied: A tool comparisonSummary
Chapter 3: The Six Pillars of an AI-Powered Accountant
Mapping HACK to the Six PillarsPillar 1 – Excel FluencyThe Excel Fluency stackPillar 2 – process and data masteryThe 4Ds – the project operating modelETL-V – the data operating modelThe eight steps to your first Power BI reportPillar 3 – technology assessmentPillar 4 – AI conceptsPillar 5 – growth mindsetPillar 6 – human-centered skillsThe Six Pillars self-assessmentEXERCISE – The Six Pillars Personal Audit (20 minutes)Summary
Chapter 4: Why AI Is Fundamentally Different
Deterministic vs.probabilisticDeterministic systemsProbabilistic systemsWhy the distinction matters in financeThe "many ways to the same answer" exerciseEXERCISE – Many ways to the same answer (30 minutes)Hallucinations: the critical riskWhat a hallucination actually isWhy finance is uniquely vulnerablePrompt decayCalibrating trustSummary
Chapter 5: The Technology Assessment Framework
Why structured assessment mattersDimension 1 – Total Cost of OwnershipDimension 2 – integration and compatibilityDimension 3 – scalability and flexibilityThe flexibility testDimension 4 – user adoption and learning curveDimension 5 – data security and complianceLens 1 – regulatory and security frameworksLens 2 – data classification and sensitivityLens 3 – data lifecycle managementLens 4 – access control, encryption, and authenticationLens 5 – training data provenanceSOC 2 deeper diveAI governance – the NIST AI RMFAI governance maturity stagesData classification – the four tiersThe acceptable use matrixDimension 6 – vendor stability and supportThe vendor failure cautionary taleThe three pillars of the fintech stackPillar 1 – automation (RPA, VBA, Python, AI)Pillar 2 – financial modeling (3-way modeling, scenario analysis)Pillar 3 – analytics (descriptive → diagnostic → predictive → prescriptive)A worked assessment exampleSummary
Chapter 6: AI Concepts: How LLMs Actually Work
What is a large language model?Tokens and context windowsTokensThe context windowThe real cost of AI usagePrompt engineering: the six building blocksThe six building blocks of every strong promptBefore and after – the same task, two different promptsFour core prompting techniquesTechnique 1 – Zero-shotTechnique 2 – Few-shotTechnique 3 – Chain-of-thoughtTechnique 4 – Role-basedThe chain-of-thought finding – why this technique matters mostMark Wickersham's five essentialsMy own standard context promptThe specific-request prompt that follows the contextHallucinations revisited – the prompt engineering angleDefense 1 – ground in source documentsDefense 2 – demand citationsDefense 3 – force uncertainty flaggingDefense 4 – never use AI for pure calculationsThe nine-point pre-send checklistYour starter prompt librarySkills and markdown files – the composing layerWhere skills live and how to manage themThe golden rule of SkillsSummary
Chapter 7: Growth Mindset
Why a growth mindset matters specifically nowWhy accountants struggle with changeThe identity shiftCore reframes – fixed → growthThe seven growth mindset exercisesExercise 1 – The "Yet" AuditExercise 2 – The Failure ResumeExercise 3 – Fixed vs Growth Mindset Scenario Role-PlayExercise 4 – The "Effort = Path to Mastery" TrackerExercise 5 – Mindset Trigger MappingExercise 6 – The "Advice to Others" FlipExercise 7 – Skills Evolution TimelineThe growth mindset muscle: daily practicesThe five mental barriersBarrier 1 – "I'm too old"Barrier 2 – "I don't have time"Barrier 3 – "What if I make a mistake?"Barrier 4 – "My company isn't ready"Barrier 5 – "AI will expose my gaps"The closing questionSummary
Chapter 8: Human-Centric Skills
The value stack shiftThe traditional accountant value stackThe AI-augmented value stackThe five categories of Human-Centric skillsThe six human skills exercisesExercise 1 – the "so what?" cascade (business context translation)EXERCISE 1 – The "So What?" Cascade (30 minutes, groups of 3)Exercise 2 – the investigation framework (Hypothesis-Driven questioning)EXERCISE 2 – The Investigation Framework (45 minutes)Exercise 3 – the Three-Path presentation (option thinking)EXERCISE 3 – The Three-Path Presentation (30 minutes)Exercise 4 – The Boardroom Story (Storytelling with Data, SCQA)EXERCISE 4 – The Boardroom Story using SCQA (45 minutes)Exercise 5 – The Multi-Audience Translation (Stakeholder Mapping)EXERCISE 5 – The Multi-Audience Translation (40 minutes)Exercise 6 – The Contrast Framework (Difficult Conversations)EXERCISE 6 – The Contrast Framework (30 minutes)Strategic Thinking and Business PartnershipBusiness model understandingEXERCISE – Value Chain MappingScenario planning – the Three Horizons methodCross-functional collaborationJudgment and critical thinkingDistinguishing data from insightsEXERCISE – The Metric AuditTrade-off thinkingEthical and values-based decision-makingPattern recognition beyond the dataRelationship building and trustCuriosity over expertiseThe 80/20 conversation formatBuilding credibility through reliabilityEXERCISE – The Reliability AuditManaging up and across – Influence Without AuthorityThe skill development roadmapMonths 1–2: FoundationMonths 3–4: BuildingMonths 5–6: IntegratingWhy this work mattersSummary

Chapter 9: How to Prepare for the Journey Ahead
The only rule that mattersWhere you are nowEXERCISE – the end-of-Part-I personal audit (45 minutes)Tools you need available before Part 2The career roadmapComponent 1 – the Career RoadmapComponent 2 – the skills development planComponent 3 – the 90-Day action planEXERCISE – draft your career roadmap (60 minutes)The Personal Canvas: mapping your goals to the learnings of Part 1The nine boxes of the Personal CanvasWhy this canvas matters specifically for the AI-powered accountantMapping the Personal Canvas to the foundations of this bookEXERCISE – Complete your Personal Canvas (90 minutes: revisit quarterly)What Part 2 coversYour three commitmentsThe closing thoughts of Part ISummary
Part 2: The Practical Modules
Chapter 10: Introducing the Modules – the Operating Manual
The standard long-form context promptThe short-form prompt for memory-enabled toolsThe specific-request patternThe verification stackTools you need open before starting any moduleHow each module chapter is structuredSummary
Chapter 11: Module 1 – Foundations and Formula Ideas
Technical requirementsThe workflow problemWhere this module sits in the Excel Fluency StackThe Starting workbookThe promptWhat each tool producesClaude (browser)Claude's unprompted additions – what "professional-grade" looks likeTAB AICopilot ChatCopilot Agent ModeMy ratings and findingsWhat this comparison teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 1 HomeworkHOMEWORK Module 1 (allow 60 minutes)Summary
Chapter 12: Module 2 – PDF Extraction and Analysis
Technical requirementsThe workflow problemThe starting pointThe promptWhat each tool producedClaude (browser, Opus model)TAB AICopilot chatCopilot Agent ModeMy ratings and findingsCross-tool comparison – what this teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 2 homeworkHOMEWORK – Module 2 (allow 90 minutes)Summary
Chapter 13: Module 3 – Transaction Reconciliation and Financial Control
Technical requirementsThe workflow problemThe Starting workbookThe promptWhat each tool producesClaude (browser, opus model)TAB AICopilot ChatCopilot Agent ModeMy ratings and findingsCross-tool comparison – what this teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 3 verification – five checksModule 3 homeworkHOMEWORK – Module 3 (allow 90 minutes)Summary
Chapter 14: Module 4 – Management Reporting and Analysis
Technical requirementsThe workflow problemThe Starting workbookThe promptWhat each tool producedClaude (browser)TAB AICopilot ChatCopilot Agent ModeMy ratings and findingsWhat this comparison teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 4 verification – four checksModule 4 HomeworkHOMEWORK – Module 4 (allow 90 minutes)Summary
Chapter 15: Module 5 – Mapping Tables and Source Systems
Technical requirementsThe workflow problemThe Starting workbookThe promptWhat each tool producesClaudeTAB AICopilot ChatCopilot Agent ModeMy ratings and findingsWhere this module sits in HACK and the Six PillarsThe verification protocolModule 5 verification – four checks before signing off on the mappingModule 5 HomeworkHOMEWORK Module 5 (allow 60 minutes)Summary
Chapter 16: Module 6 –Workflow Analysis on a Real Workbook
Technical requirementsThe workflow problemThe Starting workbookThe promptWhat each tool producesClaude (browser)TAB AICopilot ChatCopilot AgentMy ratings and findingsWhat this comparison teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 6 verification – four checksModule 6 HomeworkHOMEWORK – Module 6 (allow 90 minutes)Summary
Chapter 17: Module 7 – Restructuring a Messy Workbook
The workflow problemThe Starting workbookThe promptWhat each tool producesClaude (browser)TAB AICopilot Agent ModeCopilot ChatMy ratings and findingsWhat this comparison teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 7 verification – five checksModule 7 HomeworkHOMEWORK Module 7 (allow 2–3 hours)Summary
Chapter 18: Module 8 – Validation, Checks, and Comprehensive Audit
The workflow problemThe Starting workbookThe promptWhat each tool producesClaude (browser)TAB AICopilot ChatCopilot Agent ModeMy ratings and findingsWhat this comparison teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 8 verification – five checksModule 8 HomeworkHOMEWORK – module 8 (allow 2 hours)Summary
Chapter 19: Module 9 – Dashboards and Data Visualization
The workflow problemThe Starting workbookThe promptWhat each tool produced – Excel variantClaude (browser)TAB AICopilot Agent ModeCopilot ChatPower BI variantsMy ratings and findingsWhat this comparison teachesWhere this module sits in HACK and the Six PillarsThe verification protocolModule 9 verification – five checksModule 9 HomeworkHOMEWORK Module 9 (allow 3 hours)Summary
Chapter 20: Module 10 – Skills, Your Digital Twin, and Building Your Own Library
Why Skill matters – from prompt to assetWhat is actually in a SkillHow Skills are triggeredSkills as your digital twinA worked example – the company-benchmark SkillThe jobThe architecture – two files, one source of truthThe workflow – five steps, with peer confirmation of the workThe gotchas – the most useful section in any SkillThe audit – how a 22/34 Skill became a 32/34 SkillBuilding your first SkillStep 1 – run the workflow once with AI by handStep 2 – extract the workflow into SKILL.mdStep 3 – split anything reusable into a companion fileStep 4 – test on a fresh example, then auditStep 5 – promote, version, and re-evaluateOrchestration: parent and child SkillsThe three layersA live orchestration exampleWorkbook chainingBuilding a Skills library at scaleThe registry structureSix-month build trajectorySkill governance: quality, lifecycle, and promotionThe Three-Stage quality modelWhere Skills liveLifecycle management: versioning, retirement, and updatingThe canonical source of truthSecurity, portability, and cross-surface considerationsSecurity checklist for Third-Party SkillsCross-Surface portabilityYour 90-Day Skills roadmapSummary
Chapter 21: Unlock Your Exclusive Benefits
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