There’s a version of automation that’s just moving the mess faster. We’re not interested in that.
Every engagement starts with the map: what actually happens today, who touches it, where it stalls, and what it costs you. Often the biggest win is deleting a step rather than automating it. What’s left gets designed properly, then built — as a deterministic workflow where the rules are clear, and as an AI agent where the input is messy and a judgement call is genuinely needed.
The distinction matters. Deterministic automation is cheap, fast and predictable, and it should do most of the work. AI earns its place where a human would otherwise have to read something and decide. Used the other way around, you get a system that’s expensive, slow and occasionally wrong for no reason.
Then we keep it running. Automations break quietly — an API changes, a field gets renamed, a credential expires — and the failure mode is silence. We monitor for that.
