AI has moved from answering questions to doing work: matching transactions, drafting reconciliations, running parts of the close and acting across your systems as an agent. Knowing where it helps, where it fails and how to roll it out is quickly becoming part of the job.
This hub covers practical AI adoption in finance and accounting: how to choose and prioritize use cases, real examples of agents in firms and finance teams, context engineering and getting reliable output, when to bolt AI onto a process versus redesign it, and how to judge whether AI work is good enough to use.
The focus is on what actually works in practice, and on the research behind the headlines.
Start here
- How to Prioritize AI Use Cases: A Research-Backed Framework for Accounting Firms
- Context Engineering for AI Agents: What Accountants Need to Know in 2026
- Agentic AI in Accounting Firms: Real-World Case Studies
- The AI That Closes the Books
All articles
- AI Beat 12 CPAs. Here’s What the Study Actually Shows · Oct 15, 2026
- You’re Already Using Agents. Here’s the Vocabulary for What That Means · Sep 30, 2026
- Capability Isn’t Free: What Amazon’s AI Benchmark Means for Your Agents · Sep 18, 2026
- Bolt AI On or Redesign the Workflow? Two Examples That Make It Obvious · Sep 11, 2026
- The Compiler Advantage: Why AI’s Coding Boom Doesn’t Automatically Cross Into Accounting · Sep 9, 2026
- Workflow, Loop, or Graph? · Sep 3, 2026
- The AI Trade-Off Nobody’s Talking About: Time · Aug 19, 2026
- Build AI Workflows That Scale · Jul 16, 2026
- When Your Expense Tool Starts Doing Your Books · Jun 18, 2026
- The AI Output Gap · Jun 4, 2026
- Reading the Fine Print on AI Claims · Jun 3, 2026
- AI Made the Powerpoint Problem Worse · May 27, 2026
- When Everyone Has Claude, Nobody Has an Advantage · May 26, 2026
- Claude’s Finance Agent Templates: Useful Tools, Not a Revolution · May 14, 2026
- Automate First, Cut Second · May 6, 2026
- Score AI Against Your Real Problems · Apr 27, 2026
- The AI That Closes the Books · Apr 23, 2026
- How to Prioritize AI Use Cases: A Research-Backed Framework for Accounting Firms · Apr 21, 2026
- When the Workslop Comes from the Corner Office · Apr 20, 2026
- The Cognitive Offloading Paradox · Apr 16, 2026
- AI Evals for Accountants: How to Know If Your Output Is Good Enough to Use · Apr 9, 2026
- AI Clutter & Cognitive Load at Work · Apr 2, 2026
- AI Agents Need Good Data First · Mar 23, 2026
- AI’s Task Horizon Problem: What the Latest Research Tells Accountants · Mar 19, 2026
- AI Gets a C+ in Accounting: What the 2026 Benchmark Really Means for CPAs · Mar 18, 2026
- Agentic AI in Accounting Firms: Real-World Case Studies · Mar 17, 2026
- AI Output Etiquette for CPAs: How to Stop Sending Sloppypasta · Mar 16, 2026
- AI’s Last Mile Problem: Why Pilots Succeed But Transformations Fail · Mar 13, 2026
- Skills Are the New Software · Mar 12, 2026
- The 8 Levels of Agentic Engineering (And Where Finance Teams Fit In) · Mar 11, 2026
- Context Engineering for AI Agents: What Accountants Need to Know in 2026 · Mar 9, 2026
- The AI Intensity Paradox: Why Tools Are Making Us Work Harder · Feb 10, 2026
- Why AI Can’t Replace Experts (Yet): Word vs. World Models · Feb 9, 2026
- Accrual’s $75M Bet: Can AI Finally Fix Accounting Workflows? · Feb 6, 2026
- AI Is Your New Study Buddy: Testing ChatGPT, Gemini, and NotebookLM · Feb 4, 2026
- The AI Revolution in Accounts Payable: Why Manual Invoicing is Dead · Jan 28, 2026
- OpenAI’s Pivot to “Practical Adoption”: What It Means for Your Workflow · Jan 20, 2026
- 2026 LLM Refresh: How AI Actually Works (Without the Hype) · Jan 12, 2026
- I Investigated How AI is Used in Accounting. The Answer is Accounts Receivable. · Nov 7, 2025