Research you can put to work.

FEATURED · GUIDE

The executive checklist for AI-ready operations

How to choose safe use cases, prepare the right data, and set success measures a board will respect. The same checklist we open every diagnostic with.

PLAYBOOK From spreadsheet chaos to better FP&A workflows A practical path to cleaner planning, forecasting, and recurring reporting — and where AI earns its place in each. 9 MIN MEMO Building AI rules the business will actually use Simple ownership, review steps, and usage rules for responsible adoption — one page, not a policy binder. 6 MIN MEMO Copilot or agent? Choosing the right shape of automation When a human stays in the loop, when work should flow straight through, and how to tell before you build. 7 MIN

Four-page briefings on the questions leadership teams are actually debating — costs, controls, and how to start.

NO. 01 AI behind your firewall Offline and private LLMs for businesses that can’t send data to the cloud — and how to get started. NO. 02 Machine learning for forecasting & anomaly detection Where ML beats spreadsheet forecasting, what it needs from your data, and how to prove it against baseline. NO. 03 What AI actually costs Honest price ranges, the hidden thirds, and the budgeting discipline that separates investment from write-off. NO. 04 AI and your auditors The controls auditors test, the evidence they accept, and the five-document package that ends the conversation. NO. 05 The 90-day AI proof-of-value plan What a first engagement delivers by day 30, 60, and 90 — with the evidence gates and kill criteria in writing.