Human-led, AI-accelerated.

Most teams use AI as a faster keyboard: a suggestion here, a generated function there, pasted in by whoever happened to ask. It helps, but it does not change how a product gets built, and it is hard to say afterwards what the AI did and why.

We work differently. Our delivery framework, HASTE, runs in five phases: Hypothesise, Assess, Specify, Throughput and Evaluate. The first three are human work. We find out who needs the product, test whether it is worth building and write down exactly what it should do. Only then do agents join the build, working in parallel on modules that are already defined.

Two principles make that work. The first is definition before execution: the quality of the specification sets the speed and consistency of the build. The second is that AI agents need context. An agent working from a vague brief guesses, and guesses at speed are expensive. An agent working from a clear, specific specification can do a great deal of the work well.

The agents are governed like any other team member. In Pathfinder, the platform we run HASTE on, each agent has a role and one of four autonomy levels, from observe-only to full autonomy. Actions above that level wait in a queue for a person to approve. Each agent has daily limits on what it can spend, and every action is logged with its cost.

For you, that means speed without losing control. You see the specification before anything is built, you review working software on staging, and you can trace any feature back to the decision and the evidence behind it. A person on our team is accountable for every line that ships, whoever typed it.