Insights

Alan Turing turned a philosophical question into a practical test. His method still helps businesses define useful AI outcomes, limits and human responsibility.
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Naming a capability is not the same as making it useful. The Dartmouth story offers a practical lesson for businesses adopting AI today.
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AI capabilities are changing quickly, but good adoption still starts with a business problem, clear success measures, risk boundaries and deliberate implementation.
Read articleAI agents can plan, use tools and complete multi-step tasks, but small businesses should start with bounded workflows, clear approvals and measurable outcomes.
Read articleFull enforcement has begun. Most small businesses are not at risk - but there are three things you should check before your next AI tool purchase.
Read articleThere is no single best AI workflow automation tool. Compare Zapier, Make, n8n and Power Automate by workflow, control, technical confidence and the amount of human review you need.
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