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We Made an Agent Argue With Our People

by | Jun 21, 2026

One of our more interesting experiments: we built an agent to evaluate proposals, and then, rather than letting it replace human evaluation, we made it argue with our humans. The obvious design would have been substitution. The agent reads submissions, scores them...

The Hardest Thing to Hand an Agent

by | Jun 14, 2026

We’ve had a run of success giving agents well-defined work: drafting, checking, summarising, monitoring. The pattern behind those wins is no mystery. Where we can specify inputs, outputs and what good looks like, agents perform. The harder lesson came when we...

AI Gives You Back Your Agency

by | May 31, 2026

Something has been quietly taken from our people over decades, and I think AI, oddly, is giving it back. Watch the arc. Industrial-era process design made each of us a cog: responsible for a step, blind to the whole. Then enterprise software and SaaS arrived, and the...

AI Didn’t Expose a Data Problem

by | May 24, 2026

Everyone warned me that AI would expose our data problems. That prediction turned out to be true and, in the way it usually gets discussed, completely misleading. Yes, when we pointed AI tools at parts of our data, the cracks showed. Inconsistent records, duplicated...

Thrilled and Worried in Equal Measure

by | May 17, 2026

I learned that people in my organisation were using AI to help write performance and development documents. My reaction split cleanly down the middle: thrilled, and worried, in equal measure. Thrilled, because this is exactly the maturity we’d been building...

The Use Case Deflection

by | May 10, 2026

We are use case led. Almost every organisation says this about AI now, and it sounds like discipline. Increasingly I think it’s where discipline goes to hide. Here’s the pattern I’ve watched, in our organisation and others. The call goes out for AI...

Everyone’s Job Is No One’s Responsibility

by | May 3, 2026

We declared early that AI was everyone’s job. It sounded right, it went on slides, and heads nodded everywhere it was said. Months later I noticed what the phrase had actually produced: warm agreement and thin accountability. Use cases waited for someone to...

Beware The Participation Paradox

by | Apr 26, 2026

Early in our AI journey, I made a well-intentioned decision that nearly stalled us. I opened the conversation to everyone. It felt right, and in a culture sense it was. People across the organisation had views about AI, hopes and worries both, and inviting them in...

Learning Before Scaling

by | Apr 19, 2026

Three plain words have defused more anxiety in our AI program than any risk framework we’ve produced: learning before scaling. I stumbled onto the phrase in a tense meeting. Stakeholders were worried we were moving too fast, others that we were moving too slow,...