Research, analysis, and thinking from our practice

Most organisations cannot tell you what their failed AI pilots actually cost. We can — and the number is usually 3-5x what they estimate.

Two of the most misunderstood choices in enterprise GenAI — and the decision framework we use with every client.

Governance frameworks are proliferating. Most of them make compliance teams feel better without making AI systems meaningfully safer.

Model drift, silent failures, missing monitoring — these are the patterns that end AI projects after launch. Here is how to avoid all five.

Taking on work you can't deliver well is bad for everyone. A candid look at why selective engagement produces better outcomes.

A working GenAI demo is easy. A GenAI system your business can rely on is a different engineering problem — here's what closes the gap.

A practical, two-week framework for deciding whether an AI use case is worth building — before you spend a dollar on development.

The four failure modes that kill AI initiatives before launch — and the checkpoints that catch them early.

Seven criteria that determine whether you should build custom AI, buy a platform, or configure a foundation model.

The next frontier of enterprise AI is agentic AI. Here is how we build multi-agent systems that autonomously reason, plan, and execute workflows.