Agentic AI Development

An agent earns its place by completing useful work and producing a result someone can check. We start with the workflow, its inputs and permissions, then select the tools and model that fit the job.

Define the work before the automation

The workflow owner supplies representative examples and a baseline. We name correct results, prohibited actions, uncertainty and the conditions requiring review. A narrow implementation establishes whether automation improves the work.

Build for the exceptions

Tool identities are separate and revocable. Retries, duplicate work, cancellation and escalation have explicit behavior. Missing information or a denied tool produces a visible state that an operator can resolve.

Keep the workflow maintainable

You receive client-specific integrations, versioned prompts and configuration, evaluation cases, a permission map and operating procedures. Sentinel can govern supported tool access and Memento can supply approved knowledge. Acceptance includes refusal, interruption and a human completing the task manually.