Clearer thinking before bigger technology decisions.

Practical perspectives on technology strategy, product development, AI, automation, modernisation and the realities of delivering systems that need to work.

TopicsTechnology strategyArtificial intelligenceProduct and platform engineeringIntegration and automationModernisationDelivery method

Featured

Before you replatform: five questions that change the answer

Replatforming decisions are made too early and too late in equal measure. A short framework for testing whether the platform is really the problem — before committing budget to a migration.

8 min readRead →

The gap between an AI demo and an AI in production

Most AI proofs of concept do not become operational systems. The gap is rarely the model — it is the surrounding data, integration, evaluation and governance. What a production-ready AI actually looks like.

11 min readRead →

Product-first, or platform-first? A decision most teams get wrong

The choice between building a product or building a platform is often framed as a technical decision. It is a commercial one. How to make it deliberately.

9 min readRead →

More perspectives

  • The real cost of a "quick integration"
    Read →
  • How to run a discovery that actually reduces risk
    Read →
  • Legacy is not the same as old — and the difference matters
    Read →
  • Six patterns for practical enterprise AI
    Read →
  • Why headless is not automatically the answer
    Read →
  • Choosing MVP scope without gutting the product
    Read →
  • Event-driven, batch or synchronous — a decision guide
    Read →
  • How to phase a migration without breaking the business
    Read →
  • The four artefacts every technology programme should own
    Read →

Article publication is being staged. Titles above indicate the editorial direction for launch.

Want these when they land? Or a conversation now?