What we build
Use an AI agent when the work needs context and judgment. Use deterministic automation when the path is stable. Combine them when an agent should hand an approved decision into a predictable system.
AI Agents
For work with unstructured inputs, context, branching decisions, uncertainty, and escalation.
AI Automations
For stable, repeatable processes where inputs and outputs can be clearly defined.
Decision guide
We do not add an LLM where validation rules, a queue, or a deterministic integration will do the job better.
The inputs are messy, context changes the answer, and uncertainty needs visible escalation.
The process should produce the same result from the same validated input every time.
The agent interprets or decides; the automation executes the approved path reliably.
What the client receives
Where the agent runs, which providers receive data, and how each system is accessed.
Actions classified as autonomous, approval-required, or forbidden.
Expected behavior, edge cases, failure states, and go-live acceptance evidence.
Operating routines, escalation, updates, rollback, and ownership after handoff.
AI Readiness Audit
In one working session, we map the workflow, systems, approval boundaries, risks, and the most useful first deployment.
