by Wayne Pales | Jun 28, 2026
There’s a sentence in our AI governance I’d defend above almost all the others: if an agent takes action, a human owns it, and that ownership is never transferable to the machine. It sounds obvious written down. In practice it cuts against a drift you can...
by Wayne Pales | 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...
by Wayne Pales | 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...
by Wayne Pales | Jun 7, 2026
Here’s an uncomfortable pattern I’ve seen across two decades of technology investment, sharpened by everything AI has taught us recently. Most large software projects are described as technology projects. They mostly aren’t. Strip away the platform...
by Wayne Pales | 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...
