Agents that act in your systems,
only after they pass your tests.

Agentic AI is software that can plan a response and call business tools, so it acts in your systems instead of only answering questions. That makes the engineering question what it may do, which evidence it needs and how the team knows a new version is safe to release. We build bounded agents with a known identity, scoped tools, grounding in your data and an evaluation gate before release.

Every version passes an evaluation suite your team agrees before users meet it. The suite holds the test cases and pass criteria the agent must clear, including the difficult cases a demonstration can miss. Regression tests run before every release, and after launch quality, latency and cost are watched in production, so each new version has a controlled path into use.

Your test cases choose it, not benchmark reputation. Each candidate model route is compared on quality, cost and latency against the evaluation suite for your task, and the evidence picks the model. Because the decision rests on tests, the chosen route can change as the evidence changes, and the release gate gives that change a controlled path into production.

The Blueprint phase typically takes two to three weeks, and the Pilot that follows typically takes four to six weeks, each at a fixed price. The Blueprint designs the agent boundary, identity, guardrails and evaluation suite. The Pilot takes one bounded agent to an evaluated production slice, and expansion then runs on a quarterly rhythm. You keep the evaluation design even if you stop after the Pilot.

A funded, bounded task, with its data, controls and success baseline ready. If the use case has not been tested for that, AI Readiness is the step before this one. The task should name the tools the agent needs, the identity it acts under and where a person still decides, because those become the agent design written down before the build.