-

Automate First, Cut Second
The IRS cut 28,000 employees before its AI was ready. The GAO says the program is now at serious risk. Here’s what CPAs need to know about AI workforce sequencing.
-

The Unlocked Side Door: Why Your Employees Are Your Biggest AI Risk
Your employees aren’t trying to create security risks when they use AI — but they might be doing it anyway. Here’s why internal users are the biggest AI governance challenge at professional services firms.
-

Who Should Own AI? The Data Points to the CFO.
Only 2% of companies have CFO-led AI accountability — but when they do, 76% achieve strong AI value. Here’s why that gap matters for every finance professional.
-

CFO Signals: Your Company Is Growing. Your Team Isn’t. Here’s Why.
Deloitte’s Q1 2026 CFO survey shows 5 of 6 growth metrics pointing up — but hiring is flat. Here’s what that gap means for every finance professional.
-

AI Prompt Injection Risks for CPAs
A real exploit stole financial data from Ramp’s AI spreadsheet tool in 2026. Here’s what every accountant needs to know about prompt injection and agentic AI.
-

What Audit Committees Are Asking About AI
The PCAOB’s 2025 Conversations With Audit Committee Chairs report formally elevates AI as a standalone technology risk for the first time. Here’s what 250+ audit committee chairs are asking their auditors — and what it means for practicing CPAs.
-

AI Vendor Lock-In Is Already Here — And Your Budget Isn’t Ready
58% of AI migrations fail or overrun. Here’s what finance and accounting teams need to know about switching costs before the bills come due.
-

Score AI Against Your Real Problems
Most finance orgs know exactly what’s broken. Here’s a practical framework for scoring AI honestly against your real pain points — and knowing when the fix requires something else entirely.
-

The AI That Closes the Books
Agentic AI is now being deployed in real finance teams to run the month-end close. Here’s what CPAs need to understand about what’s changing — and what isn’t.
-

The Photocopy Problem: Why AI Output Gets Less Reliable Every Time It’s Reused
AI doesn’t just compress information — it expands it back out, filling gaps with plausible-sounding content. Here’s what accountants need to know about stacked AI workflows and how to review them.
