Thinking on AI · Strategy · Deployment · Governance
AI insights for teams that want results
Practical thinking on AI adoption, Claude deployment, and the data foundations that make it all work — for leaders who want real business outcomes.
Insights
Latest thinking on AI adoption
How to measure AI adoption in your team
The metrics that actually predict whether AI sticks — and the ones that just look good in a deck.
Why most AI pilots fail (and how to fix it)
Strategy, training and data have to move together. Here's the framework that makes adoption real.
What is a Turbine AI agent?
Not a chatbot. An agent that connects your data and takes action — with audit trails built in.
AI guardrails for enterprise CEOs
What your legal and ops teams need to see before you deploy Claude across the business.
Building your AI data foundation
Most AI failures are data-access failures. How to give the right people the right context.
Claude vs ChatGPT for team deployment
A balanced read on safety, data controls and integration — and how to choose for your team.
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