Our take on the headlines.
When AI makes the news, we say what we’ve seen. Fewer articles, and each one worth your time.
What we make of the news.
We don’t publish to fill a calendar. When something in the news touches what we know, we say what we’ve seen in real operations.
AI adoption strategy: let your teams build the change
The best AI adoption strategy we've seen goes wide, then deep: a hackathon to surface real problems, then a design workshop with one decision-maker.
Single source of truth for client data: a leader's guide
A single source of truth is one trusted record your systems and teams work from. Kit Cox on the two-answers test, and a ten-client test you can run this week.
AI readiness framework: don't measure enthusiasm, measure this
An AI readiness framework for leaders: five areas to assess, four maturity levels, and the enthusiasm trap that makes businesses look ready when they aren't.
Target operating model: a leader's guide to building one that gets used
A target operating model is how your business will run once change is done. A leader's guide to what it includes, the floor test, and how to build one for AI.
Legacy system modernization: you don't have to rip everything out
Legacy system modernization doesn't mean replacing everything. Kit Cox on the blocker test and a keep, drop or connect worksheet for your own systems.
AI strategy consulting: how to choose a partner
How to choose an AI strategy consulting partner: the month-six test and a five-question scorecard for your shortlist, from Katie Swannell-Gibbs.
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