Best first AI project: fix a bottleneck, not a chatbot.
Why the best first project is usually one costly workflow with approved information, human review and a visible route to adoption.
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Short reads for charities, SMEs and not-for-profits who want the pack waiting — not another workshop PDF.
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Not a library of AI news. The questions a trustee or an SME owner actually asks before they want it for themselves.
Why the best first project is usually one costly workflow with approved information, human review and a visible route to adoption.
Read flagship insightWhere AI risk hides, how to test before you trust, simple governance and an 8-step checklist for SMEs and charities.
Read insightFive checks so staff can stand behind an AI answer: source, scope, permission, disagreement and owner. Then keep the checked answer.
Read insightWhen licences sit unused, name the job, the sources and the review step, or stop paying for quiet seats.
Read insightGo back to the original job, find where the demo never became the week, and decide keep, fix or stop.
Read insightYes, when approved sources, data location, human review and retention are designed in from the start.
Read insightHow to think about approved sources, data locations, human review and the limits of any AI system.
Read insightWhere local models fit, where cloud models help, and how to keep usage controlled.
Read insightUseful AI starts with the recurring admin, reporting and follow-up work already slowing the team down.
Read insightA practical board-level checklist for value, risk, cost, data flow and accountability.
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