Capability03.02Systems
AI Agents
Software that takes the next step on its own, inside your tools and within limits you set, and asks a person when it should.
AI agents are systems that decide their next action: which tool to call, what to read, when to stop and when to ask. Built well, an agent does the routine work end to end and hands everything else to a person with the case already written up. We build every one with explicit permissions, written policy, evaluation before every release and a full trace of every decision it makes.
Dispatch a task. Hover or tap a tool to take it offline and watch the route re-plan.
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Includes
- Autonomous, tool-using and multi-agent systems
- Orchestration, planning and guardrails
- Voice agents and customer-service agents
- Internal agents and copilots over company knowledge
- Human approval, permissions and full decision traces
- Agent evaluation before every release
Applications
- A service agent that resolves routine requests within written policy and hands the rest to a person with the case already written up
- An operations copilot that files, chases approvals and drafts replies in the tools the team already uses
- A research agent that prepares sourced account briefs before every meeting
Under the hood
- Tool calling with typed schemas
- Planner–executor orchestration
- Least-privilege permissions per tool
- Policy guardrails as code
- Retrieval with citations
- Speech recognition and synthesis for voice
- Replayable decision traces
How we test it
Before release, every agent runs a scenario suite written with the people who do the work today: routine cases, edge cases and cases it must refuse. We score task completion, policy adherence, tool-call correctness and the quality of each hand-off, and a release that scores worse does not ship.
Have something like this in mind?
Bring the problem in its messiest form. Measuring it is our job. We’ll tell you honestly whether AI is the right way to solve it.