AI made simple - in writing.
Evidence-led pieces on AI adoption, data governance and capability. Written for the people running Finance, Operations, Sales, Marketing and HR, who decide what AI should actually do in their function.
Why is AI inconsistent from one letter to the next - and how do you make it reliable?
Output tracks input, and input changes person to person - research shows formatting alone swings accuracy by up to 76 points. Reliability comes from locked-in workflows, not better prompters.
Read article →Are AI agents actually useful, or overhyped?
Gartner says 40% of agentic projects will be cancelled; MIT found 95% of pilots return nothing. The technology works - the adoption fails. Treat agents like team members, not chatbots.
Read article →Claude vs Copilot vs ChatGPT: which should your firm pick?
You're probably already using all three. Copilot's default engine is the same OpenAI models behind ChatGPT - and Copilot Cowork runs on Claude. The real decision is adoption and portability.
Read article →What tasks can Claude actually automate? The question underneath it
Claude can automate more than most teams expect. But the teams getting 6-10 hours back per week ask what Claude should do - then lock it in with approval gates.
Read article →Microsoft just put Claude inside Copilot - what does it mean for your firm?
Copilot Cowork is Anthropic's Claude Cowork technology inside Microsoft 365 - same models, same skills standard. UK tenants have it switched off by default.
Read article →Is your data safe with AI - and who's actually accountable?
If you already trust Microsoft with your data, AI doesn't materially raise your risk. The real risk is dependency - and whatever the AI does, a human is always accountable.
Read article →