We have been building operational systems since 1989. In that time, we have seen technologies come and go — client-server, the web, SOA, cloud, mobile, and now AI. The pattern is always the same: the technology changes, but the problems it needs to solve do not.
This Insights section is where we share what we have learnt. Not thought leadership for its own sake — practical thinking grounded in real projects, real clients, and real outcomes.
What to expect
We will be writing about the topics our clients ask about most:
- AI readiness — how to know when your organisation is ready, and what "ready" actually means
- Governance and accountability — why "the AI said so" is never an acceptable answer
- Rules-based vs learning-based systems — when each approach makes sense, and when they work together
- Production-ready AI — the gap between a demo and a system you can trust
- Decision intelligence — why the scarcest resource in an AI world is judgement, not information
Our perspective
We are not neutral observers. We build AI products — Anchor, Hopper, Maverick — and use them ourselves. We work with clients in regulated and high-stakes environments where getting it wrong has real consequences.
That shapes everything we write. If we recommend an approach, it is because we have shipped it, run it, and maintained it.
Start with a conversation if you have a specific question. We are always happy to talk.