AI agents that take action, inside boundaries you control.
Agents that read the document, call the system, complete the steps, and escalate what they shouldn’t decide alone. Built with typed tools, permission boundaries, human review, and an audit trail of everything they do.
Agents engineered for action, not improvisation.
An agent that touches real systems needs more than a clever prompt. It needs tools, boundaries, evaluation, and a record of every move.
Task & agent design
We scope agents to a defined job with clear inputs, allowed actions, and a definition of done — so behavior stays predictable.
Tool use & integration
Agents act through typed tools and hardened connectors to your systems of record — not by guessing at free-form API calls.
Multi-step workflows
Plan, retrieve, act, and verify across several steps, with branching and exception handling for the cases that aren't the happy path.
Guardrails & human review
Permission boundaries, approval gates on consequential actions, and role-based access so an agent can't do more than it should.
Evaluation & monitoring
Scenario test suites and production monitoring that catch regressions and drift before they reach a customer or a record.
Full audit trail
Every decision, tool call, and change the agent makes is logged and reviewable — so you can answer what it did and why.
Repetitive, multi-step work that spans systems.
Agents earn their place on work that is rule-bound but not rigid, where the steps are clear and the exceptions need a human.
Document-heavy processing
Read incoming documents, extract what matters, check it against rules, and file the result — with a person on the exceptions.
Case and ticket triage
Classify, enrich, route, and draft responses across support, claims, or operations — updating the system of record as it goes.
Back-office operations
Reconcile data between systems, flag mismatches, and complete the routine steps that quietly consume a team's week.
Research and synthesis
Gather from your own sources, compare, and produce a grounded summary an operator can act on — with citations to the source.
Have a multi-step process worth automating?
Tell us the steps, the systems, and where a human has to stay in the loop. We’ll tell you whether an agent fits — and how it would be governed.