Quick Answer
We build production AI agents that use your tools, remember context and complete multi-step work — with approval gates, evaluation and cost controls.
Most AI pilots stop at a chat window. We build agents that actually do the work: they read from your systems, call the right tools, update records and hand off to a human when the decision matters.
Each agent is scoped to a specific workflow — lead qualification, support triage, research, scheduling or back-office operations — and connected only to the APIs it needs. We add memory, evaluation, observability and approval gates before anything goes live, so you can see what the agent did, why it did it and what it cost.
Typical builds start with one high-value workflow, prove it in production, then expand tool access and autonomy as the evidence improves.
Map the current process, decision points, data sources and failure modes.
Choose the model, tools, memory and approval boundaries; define success metrics.
Implement the agent, connect systems and test it against real scenarios.
Deploy with monitoring, review traces and expand scope as reliable performance is proven.