Original thinking
Articles that examine how emerging technology affects accounting, finance, controls, governance, and professional responsibility.
Knowledge Hub
Practical thinking at the intersection of accounting, controls, and artificial intelligence
The Knowledge Hub is where I explore how accounting principles, professional judgment, internal controls, and governance can inform the responsible use of artificial intelligence in finance.
Each release brings together reflective analysis and practical application. The goal is not simply to describe new technology, but to consider how finance professionals can use it while preserving reliable evidence, thoughtful review, clear accountability, and sound decision-making.
Editorial Promise
What you will find here
Practical frameworks
Original models that help professionals organize complex ideas and evaluate AI-enabled work more consistently.
Application resources
Practice Guides and professional tools designed to help readers move from understanding an idea to applying it in real accounting and finance work.
Release No. 004
The Model Is Not the Business System
What turns an interesting predictive model into a business system professionals can responsibly rely on?
Featured Article
The Model Is Not the Business System
A CPA’s reflection on predictive modeling, unseen-data testing, timing, metrics, economics, fairness, decision authority, and the system around the model.
Read the ArticleFeatured Framework
The Prediction-to-Business-System Framework
The Prediction-to-Business-System Framework traces a predictive use case through nine stages, from the business problem and historical evidence to decision authority, value, adoption, evaluation, and monitoring.
Explore the FrameworkFeatured Practice Guide
Practice Guide No. 004 - The Predictive Analytics Readiness Review
Practice Guide No. 004 helps accounting and finance professionals assess whether a predictive-analytics use case is sufficiently defined, supported, and governed to move into deeper discovery, a controlled pilot, or formal implementation review.
Release No. 003
Pattern Is Not Understanding
AI can look right before it is ready to be trusted. Week 3 changed the question from “Can the system do this?” to “How much authority has it actually earned?”
Featured Article
Pattern Is Not Understanding
A CPA’s reflection on pattern recognition, AI reliability, agentic authority, data discipline, and the controls required before business work can be safely delegated.
Read the ArticleFeatured Framework
The Reliability Ladder
The Reliability Ladder helps business teams decide how much authority to delegate to AI by separating five levels: Retrieve, Draft, Recommend, Decide, and Execute.
Explore the Reliability LadderFeatured Practice Guide
Practice Guide No. 003 - The AI Delegation Review
A structured review worksheet for determining the maximum level of AI authority a business process is ready to support, based on evidence, testing, permissions, segregation of duties, monitoring, escalation, and accountability.
Release Path
A guided path through the release
Read the article
Understand the idea.
Explore the framework
Organize your thinking.
Apply the Practice Guide
Use it in real finance and accounting work.
Release No. 002
Why CPAs Already Think Like Programmers
What a hands-on Python bootcamp revealed about business rules, AI workflows, month-end close, and responsible automation.
Featured Article
Why CPAs Already Think Like Programmers
What a hands-on Python bootcamp revealed about the structured logic behind accounting work, AI workflows, and responsible automation.
Read the ArticleFeatured Framework
The CLEAR Logic Framework
CLEAR Logic helps finance teams clarify a process before a business rule becomes part of an automated or AI-assisted workflow.
Explore the FrameworkFeatured Practice Guide
Practice Guide No. 002 - CLEAR Logic
A detailed CPA-informed worksheet for documenting purpose, inputs, rules, exceptions, ownership, controls, testing, and implementation readiness.
Release No. 001
Thinking Like a CPA in the Age of AI
This foundational release explores how professional judgment, evidence, review, controls, auditability, and accountability can help finance professionals evaluate and use AI more responsibly.
Featured Article
Thinking Like a CPA in the Age of AI
A reflective article examining why professional judgment remains essential as AI becomes more deeply integrated into accounting and finance work.
Read the ArticleFeatured Framework
The CPA Lens for AI
An original framework for evaluating AI-enabled finance work through completeness, source reliability, process transparency, professional defensibility, and accountability.
Explore the FrameworkFeatured Practice Guide
Practice Guide No. 001 - The CPA Lens for AI
A practical resource that helps professionals apply the CPA Lens when reviewing an AI-supported task, workflow, analysis, or decision.
Publication Types
Explore by publication type
Cornerstone Articles
In-depth articles connecting emerging business and technology questions to accounting, finance, internal controls, governance, and professional judgment.
The Model Is Not the Business SystemPattern Is Not UnderstandingWhy CPAs Already Think Like ProgrammersThinking Like a CPA in the Age of AIOriginal Frameworks
Original frameworks that organize important concepts into practical structures professionals can use to evaluate decisions, processes, and risks.
The Prediction-to-Business-System FrameworkThe Reliability LadderThe CLEAR Logic FrameworkThe CPA Lens for AIPractice Guides
Practical tools designed to help accounting and finance professionals apply the ideas developed in the articles and frameworks.
Practice Guide No. 004 - The Predictive Analytics Readiness ReviewPractice Guide No. 003 - The AI Delegation ReviewPractice Guide No. 002 - CLEAR LogicPractice Guide No. 001 - The CPA Lens for AIArticles
Current articles from the Knowledge Hub
Explore concise, practical articles on accounting, internal controls, audit readiness, treasury visibility, technical accounting, and responsible AI in finance.
The Model Is Not the Business System
A CPA’s reflection on predictive modeling, unseen-data testing, timing, metrics, economics, fairness, decision authority, and the system around the model.
Read articlePattern Is Not Understanding
A CPA’s reflection on pattern recognition, AI reliability, agentic authority, data discipline, and the controls required before business work can be safely delegated.
Read articleWhy CPAs Already Think Like Programmers
What a hands-on Python bootcamp revealed about business rules, AI workflows, month-end close, and responsible automation.
Read articleThinking Like a CPA in the Age of AI
What my first experiences with generative AI taught me about professional judgment, evidence, and accountability.
Read articleFrom Accounting Complexity to Executive Clarity
How finance professionals can transform technical accounting into leadership insight.
Read articleHow COSO Internal Controls Apply to Month-End Close
A practical view of how COSO principles support reliable close activities, documentation, and reporting confidence.
Read articleWhy AI in Finance Needs Strong Review Controls
Why automation does not replace review, documentation, governance, and professional judgment.
Read articleThe Role of Reconciliations in Financial Statement Reliability
How reconciliations support accuracy, completeness, and confidence in reporting.
Read articleTreasury Visibility: Why Daily Cash Reporting Matters
How cash reporting supports liquidity awareness and executive decision-making.
Read articleAudit Readiness Starts Before the Audit
Why documentation, review procedures, and issue tracking matter throughout the year.
Read articleWhat Finance Teams Should Consider Before Using AI for Reporting
Practical control questions for AI-supported reporting processes.
Read articleASC 842 Lease Accounting: Why It Matters for Financial Reporting
How completed ASC 842 training supports lease accounting documentation, controls, classification, and technical accounting judgment.
Read articleRevenue Recognition & ASC 606: Why Contract-Based Accounting Matters
How revenue recognition affects financial reporting, documentation, contract review, controls, performance obligations, and technical accounting judgment.
Read articleContinue the Conversation
Future topics I am exploring
These topics extend the Knowledge Hub discussion and are listed here as future areas of exploration.
The Control Before the Connection
When Business Rules Become Code
AI Coding Agents and the Changing Role of the Finance Professional
Python in Excel for Finance Professionals
About the Author
Valentina DuPont, CPA
Valentina DuPont, CPA is an accounting and finance professional with experience in financial reporting, month-end close, reconciliations, cash management, internal controls, audit support, and process improvement. Through the Knowledge Hub, she explores how professional judgment, governance, and emerging technologies intersect in modern finance.
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Continue the conversation
The responsible use of artificial intelligence in finance will depend not only on what technology can produce, but also on how professionals review, document, challenge, and take responsibility for its use.