How we build an agent
Every engagement in our case studies, real or illustrative, follows the same four-step discipline. It is the difference between an agent that is a demo and one a business will actually let touch production data.
Map
Map the workflow
Find where a human is doing repetitive judgment-plus-lookup work (reading, scoring, triaging, reconciling), not just “where could we add AI.”
Bound
Draw the agent boundary
Decide, line by line, what the agent decides and where a deterministic rule, a schema validator, or a human sign-off takes over, designed before a single prompt is written.
Instrument
Instrument cost & audit
Every agent ships with model routing, prompt caching, and token tracking from day one, plus a log of every decision it made and why.
Govern
Ship with a kill switch
Human override, consent/veto controls, and hard rule-based stops on any high-stakes decision. The agent earns autonomy incrementally, never by default.
Book a free discovery call
Thirty minutes with the engineers who would do the work, not a sales call. Bring a workflow you want automated or a system that keeps breaking, and we will tell you plainly whether we are the right team for it.