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2026-09-13

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Transform finance workflows with real-world cases using AI, Excel, Power BI, Claude, and Copilot
Part 1: Foundations and Framework for Change 1
Chapter 1: Defining the AI-Powered Accountant 3
Real-world perspectives on why being AI-powered matters . 4
The core definition  5
"Strategically," not opportunistically • 5
"3–5X efficiency gains," measured, not assumed • 5
"Trust, accuracy, and professional judgment" is non-negotiable • 6
Why now: the disruptive context  6
The gaps in accounting and finance are widening • 6
The Big Four have already moved • 7
The talent pipeline is breaking, not bending • 7
The cost of using AI badly is higher than the cost of not using it • 8
Augmentation vs. automation .
AI badly is higher than the cost of not using it • 8
Augmentation vs. automation . 8
Automation • 8
Augmentation • 9
Why the distinction matters • 9
The third-year associate analogy . 10
The personal trajectory: where this book came from . 11
Summary . 13
Chapter 2: The HACK Framework 15
The origin of HACK . 16
The HACK hierarchy: why order matters . 16
H – hygiene: the foundation • 18
Why is hygiene the first letter of HACK • 18
Hygiene self-diagnostic: ten questions for your most-used spreadsheet • 20
Actionable hygiene steps • 20
A – automation: the accelerator • 21
Order of operations: automation must follow hygiene • 21
Three categories of automation in finance • 21
The deterministic discipline of automation • 22
Actionable automation steps • 22
C – capability: the toolbox • 23
The capability paradox: AI requires more Excel knowledge, not less • 23
Actionable capability steps • 24
K – knowledge: the human edge • 24
Why knowledge is the apex of the framework • 24
Actionable knowledge steps • 25
HACK in the wild: trust and risk 25
HACK applied: A tool comparison . 26
Summary  28
Chapter 3: The Six Pillars of an AI-Powered Accountant 31
Mapping HACK to the Six Pillars. 32
Pillar 1 – Excel Fluency • 33
The Excel Fluency stack • 34
Pillar 2 – process and data mastery • 36
The 4Ds – the project operating model • 36
ETL-V – the data operating model • 38
The eight steps to your first Power BI report • 39
Pillar 3 – technology assessment • 39
Pillar 4 – AI concepts • 40
Pillar 5 – growth mindset • 41
Pillar 6 – human-centered skills • 42
The Six Pillars self-assessment 43
EXERCISE – The Six Pillars Personal Audit (20 minutes) • 43
Summary  44
Chapter 4: Why AI Is Fundamentally Different 45
Deterministic vs. probabilistic  45
Table of Contents vi
Deterministic systems • 46
Probabilistic systems • 46
Why the distinction matters in finance • 46
The "many ways to the same answer" exercise . 47
EXERCISE – Many ways to the same answer (30 minutes) • 47
Hallucinations: the critical risk. 48
What a hallucination actually is • 48
Why finance is uniquely vulnerable • 49
Prompt decay  50
Calibrating trust  51
Summary  52
Chapter 5: The Technology Assessment Framework 53
Why structured assessment matters. 54
Dimension 1 – Total Cost of Ownership • 54
Dimension 2 – integration and compatibility • 55
Dimension 3 – scalability and flexibility • 56
The flexibility test • 56
Dimension 4 – user adoption and learning curve • 57
Dimension 5 – data security and compliance • 57
Lens 1 – regulatory and security frameworks • 58
Lens 2 – data classification and sensitivity • 58
Lens 3 – data lifecycle management • 58
Lens 4 – access control, encryption, and authentication • 58
Lens 5 – training data provenance • 58
SOC 2 deeper dive • 59
AI governance – the NIST AI RMF • 60
AI governance maturity stages • 61
Data classification – the four tiers • 62
The acceptable use matrix • 62
Dimension 6 – vendor stability and support • 63
The vendor failure cautionary tale • 63
The three pillars of the fintech stack . 64
Pillar 1 – automation (RPA, VBA, Python, AI) • 64
Pillar 2 – financial modeling (3-way modeling, scenario analysis) • 64
vii Table of Contents
Pillar 3 – analytics (descriptive → diagnostic → predictive → prescriptive) • 65
A worked assessment example • 65
Summary  66
Chapter 6: AI Concepts: How LLMs Actually Work 69
What is a large language model?. 70
Tokens and context windows • 71
Tokens • 71
The context window • 71
The real cost of AI usage  72
Prompt engineering: the six building blocks. 74
The six building blocks of every strong prompt • 74
Before and after – the same task, two different prompts • 75
Four core prompting techniques. 76
Technique 1 – Zero-shot • 76
Technique 2 – Few-shot • 77
Technique 3 – Chain-of-thought • 77
Technique 4 – Role-based • 77
The chain-of-thought finding – why this technique matters most • 77
Mark Wickersham's five essentials 78
My own standard context prompt • 79
The specific-request prompt that follows the context • 79
Hallucinations revisited – the prompt engineering angle. 80
Defense 1 – ground in source documents • 80
Defense 2 – demand citations • 80
Defense 3 – force uncertainty flagging • 80
Defense 4 – never use AI for pure calculations • 81
The nine-point pre-send checklist  81
Your starter prompt library . 81
Skills and markdown files – the composing layer 83
Where skills live and how to manage them • 85
The golden rule of Skills • 85
Summary  86
Table of Contents viii
Chapter 7: Growth Mindset 87
Why a growth mindset matters specifically now  87
Why accountants struggle with change . 88
The identity shift. 89
Core reframes – fixed → growth 89
The seven growth mindset exercises 90
Exercise 1 – The "Yet" Audit • 90
Exercise 2 – The Failure Resume • 91
Exercise 3 – Fixed vs Growth Mindset Scenario Role-Play • 92
Exercise 4 – The "Effort = Path to Mastery" Tracker • 92
Exercise 5 – Mindset Trigger Mapping • 93
Exercise 6 – The "Advice to Others" Flip • 93
Exercise 7 – Skills Evolution Timeline • 93
The growth mindset muscle: daily practices. 94
The five mental barriers 95
Barrier 1 – "I'm too old" • 95
Barrier 2 – "I don't have time" • 95
Barrier 3 – "What if I make a mistake?" • 95
Barrier 4 – "My company isn't ready" • 95
Barrier 5 – "AI will expose my gaps" • 95
The closing question . 96
Summary  97
Chapter 8: Human-Centric Skills 99
The value stack shift 99
The traditional accountant value stack • 100
The AI-augmented value stack • 100
The five categories of Human-Centric skills. 101
The six human skills exercises. 102
Exercise 1 – the "so what?" cascade (business context translation) • 102
EXERCISE 1 – The "So What?" Cascade (30 minutes, groups of 3) • 102
Exercise 2 – the investigation framework (Hypothesis-Driven questioning) • 103
EXERCISE 2 – The Investigation Framework (45 minutes) • 103
Exercise 3 – the Three-Path presentation (option thinking) • 103
ix Table of Contents
EXERCISE 3 – The Three-Path Presentation (30 minutes) • 103
Exercise 4 – The Boardroom Story (Storytelling with Data, SCQA) • 104
EXERCISE 4 – The Boardroom Story using SCQA (45 minutes) • 104
Exercise 5 – The Multi-Audience Translation (Stakeholder Mapping) • 105
EXERCISE 5 – The Multi-Audience Translation (40 minutes) • 105
Exercise 6 – The Contrast Framework (Difficult Conversations) • 105
EXERCISE 6 – The Contrast Framework (30 minutes) • 106
Strategic Thinking and Business Partnership 106
Business model understanding • 106
EXERCISE – Value Chain Mapping • 106
Scenario planning – the Three Horizons method • 107
Cross-functional collaboration • 107
Judgment and critical thinking . 108
Distinguishing data from insights • 108
EXERCISE – The Metric Audit • 108
Trade-off thinking • 108
Ethical and values-based decision-making • 108
Pattern recognition beyond the data • 109
Relationship building and trust  109
Curiosity over expertise • 109
The 80/20 conversation format • 109
Building credibility through reliability • 110
EXERCISE – The Reliability Audit • 110
Managing up and across – Influence Without Authority • 110
The skill development roadmap 111
Months 1–2: Foundation • 111
Months 3–4: Building • 111
Months 5–6: Integrating • 111
Why this work matters. 112
Summary . 113
Chapter 9: How to Prepare for the Journey Ahead 115
The only rule that matters 116
Where you are now  116
EXERCISE – the end-of-Part-I personal audit (45 minutes) • 116
Table of Contents x
Tools you need available before Part 2 117
The career roadmap . 118
Component 1 – the Career Roadmap • 118
Component 2 – the skills development plan • 118
Component 3 – the 90-Day action plan • 118
EXERCISE – draft your career roadmap (60 minutes) • 119
The Personal Canvas: mapping your goals to the learnings of Part 1. 119
The nine boxes of the Personal Canvas • 120
Why this canvas matters specifically for the AI-powered accountant • 123
Mapping the Personal Canvas to the foundations of this book • 123
EXERCISE – Complete your Personal Canvas (90 minutes: revisit quarterly) • 124
What Part 2 covers . 125
Your three commitments • 126
The closing thoughts of Part I • 127
Summary . 127
Part 2: The Practical Modules 129
Chapter 10: Introducing the Modules – the Operating Manual 131
The standard long-form context prompt 131
The short-form prompt for memory-enabled tools 133
The specific-request pattern  134
The verification stack. 135
Tools you need open before starting any module . 136
How each module chapter is structured. 136
Summary  138
Chapter 11: Module 1 – Foundations and Formula Ideas 139
Technical requirements 139
The workflow problem 140
Where this module sits in the Excel Fluency Stack • 140
The Starting workbook  141
The prompt 141
What each tool produces 142
Claude (browser) • 142
xi Table of Contents
Claude's unprompted additions – what "professional-grade" looks like • 142
TAB AI • 144
Copilot Chat • 145
Copilot Agent Mode • 146
My ratings and findings  146
What this comparison teaches • 147
Where this module sits in HACK and the Six Pillars. 148
The verification protocol. 148
Module 1 Homework . 149
HOMEWORK Module 1 (allow 60 minutes) • 149
Summary  150
Chapter 12: Module 2 – PDF Extraction and Analysis 151
Technical requirements 151
The workflow problem. 152
The starting point  152
The prompt 152
What each tool produced . 153
Claude (browser, Opus model) • 153
TAB AI • 160
Copilot chat • 163
Copilot Agent Mode • 165
My ratings and findings  168
Cross-tool comparison – what this teaches • 169
Where this module sits in HACK and the Six Pillars. 170
The verification protocol. 170
Module 2 homework  171
HOMEWORK – Module 2 (allow 90 minutes) • 171
Summary . 172
Chapter 13: Module 3 – Transaction Reconciliation and Financial
Control
173
Technical requirements 174
The workflow problem. 174
The Starting workbook • 174
Table of Contents xii
The prompt 176
What each tool produces 176
Claude (browser, opus model) • 176
TAB AI • 181
Copilot Chat • 183
Copilot Agent Mode • 186
My ratings and findings  188
Cross-tool comparison – what this teaches • 188
Where this module sits in HACK and the Six Pillars. 189
The verification protocol • 189
Module 3 verification – five checks • 189
Module 3 homework . 190
HOMEWORK – Module 3 (allow 90 minutes) • 190
Summary  190
Chapter 14: Module 4 – Management Reporting and Analysis 193
Technical requirements. 194
The workflow problem 194
The Starting workbook . 194
The prompt. 196
What each tool produced  196
Claude (browser) • 197
TAB AI • 201
Copilot Chat • 204
Copilot Agent Mode • 206
My ratings and findings  207
What this comparison teaches • 207
Where this module sits in HACK and the Six Pillars 208
The verification protocol. 209
Module 4 verification – four checks • 209
Module 4 Homework. 209
HOMEWORK – Module 4 (allow 90 minutes) • 209
Summary  210
xiii Table of Contents
Chapter 15: Module 5 – Mapping Tables and Source Systems 211
Technical requirements 212
The workflow problem. 212
The Starting workbook  212
The prompt. 214
What each tool produces 215
Claude • 215
TAB AI • 218
Copilot Chat • 220
Copilot Agent Mode • 221
My ratings and findings  222
Where this module sits in HACK and the Six Pillars. 224
The verification protocol. 224
Module 5 verification – four checks before signing off on the mapping • 224
Module 5 Homework. 225
HOMEWORK Module 5 (allow 60 minutes) • 225
Summary  225
Chapter 16: Module 6 –Workflow Analysis on a Real Workbook 227
Technical requirements. 227
The workflow problem 228
The Starting workbook . 228
The prompt. 230
What each tool produces. 230
Claude (browser) • 230
TAB AI • 234
Copilot Chat • 236
Copilot Agent • 240
My ratings and findings  240
What this comparison teaches • 241
Where this module sits in HACK and the Six Pillars. 242
The verification protocol. 242
Module 6 verification – four checks • 242
Module 6 Homework. 243
Table of Contents xiv
HOMEWORK – Module 6 (allow 90 minutes) • 243
Summary  243
Chapter 17: Module 7 – Restructuring a Messy Workbook 245
The workflow problem 246
The Starting workbook . 246
The prompt. 248
What each tool produces. 249
Claude (browser) • 249
TAB AI • 255
Copilot Agent Mode • 259
Copilot Chat • 260
My ratings and findings  261
What this comparison teaches • 262
Where this module sits in HACK and the Six Pillars. 263
The verification protocol. 263
Module 7 verification – five checks • 263
Module 7 Homework. 264
HOMEWORK Module 7 (allow 2–3 hours) • 264
Summary  264
Chapter 18: Module 8 – Validation, Checks, and Comprehensive
Audit
267
The workflow problem 268
The Starting workbook . 268
The prompt. 270
What each tool produces. 270
Claude (browser) • 271
TAB AI • 276
Copilot Chat • 281
Copilot Agent Mode • 281
My ratings and findings  281
What this comparison teaches • 282
Where this module sits in HACK and the Six Pillars. 283
The verification protocol. 283
xv Table of Contents
Module 8 verification – five checks • 283
Module 8 Homework  284
HOMEWORK – module 8 (allow 2 hours) • 284
Summary  284
Chapter 19: Module 9 – Dashboards and Data Visualization 287
The workflow problem 287
The Starting workbook . 288
The prompt. 289
What each tool produced – Excel variant  289
Claude (browser) • 290
TAB AI • 293
Copilot Agent Mode • 299
Copilot Chat • 300
Power BI variants 301
My ratings and findings  302
What this comparison teaches • 303
Where this module sits in HACK and the Six Pillars. 304
The verification protocol • 304
Module 9 verification – five checks • 304
Module 9 Homework. 305
HOMEWORK Module 9 (allow 3 hours) • 305
Summary  305
Chapter 20: Module 10 – Skills, Your Digital Twin, and Building
Your Own Library
307
Why Skill matters – from prompt to asset. 308
What is actually in a Skill 309
How Skills are triggered  309
Skills as your digital twin 310
A worked example – the company-benchmark Skill. 311
The job • 311
The architecture – two files, one source of truth • 313
The workflow – five steps, with peer confirmation of the work • 314
The gotchas – the most useful section in any Skill • 316
Table of Contents xvi
The audit – how a 22/34 Skill became a 32/34 Skill • 318
Building your first Skill  319
Step 1 – run the workflow once with AI by hand • 320
Step 2 – extract the workflow into SKILL.md • 320
Step 3 – split anything reusable into a companion file • 320
Step 4 – test on a fresh example, then audit • 320
Step 5 – promote, version, and re-evaluate • 320
Orchestration: parent and child Skills 321
The three layers • 322
A live orchestration example • 323
Workbook chaining • 323
Building a Skills library at scale. 324
The registry structure • 324
Six-month build trajectory • 326
Skill governance: quality, lifecycle, and promotion. 326
The Three-Stage quality model • 327
Where Skills live • 327
Lifecycle management: versioning, retirement, and updating • 328
The canonical source of truth • 328
Security, portability, and cross-surface considerations. 329
Security checklist for Third-Party Skills • 329
Cross-Surface portability • 329
Your 90-Day Skills roadmap 330
Summary . 331
Chapter 21: Unlock Your Exclusive Benefits 333
Unlock this Book's Free Benefits in 3 Easy Steps 334
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