AI Agents & Copilots

What this is for

An agent is a system that takes actions on someone behalf, using tools, in a loop, against a goal. They are useful when the work involves judgment, multiple steps, and access to several systems. They are a distraction when a deterministic workflow would do the job.

We build agents where they earn it. We say no when they do not.

Common shapes we ship

• Sales and account agents. Research a prospect against the CRM, draft a tailored outreach, propose a meeting time, log the activity.
• Operations copilots. Sit alongside an operator inside their existing tool. Suggest the next action, surface the missing context, draft the message.
• Research and analysis agents. Multi-step retrieval over internal documents and external sources, with citations the operator can verify.
• Support agents. See the Customer Support Systems service for the focused build.

What makes ours different

• Tool design before model selection. Most agent failures are not model failures. They are tool failures. We spend disproportionate time on the agent tool surface.
• Evals first. Before we ship to a single user, the agent passes a hundred-plus scenarios drawn from real work.
• Scoped permissions. Agents see what the user is allowed to see. Audit trail for every action taken on a user behalf.
• Human-in-the-loop where it matters. Reversible actions automated; irreversible ones reviewed. We design the boundary explicitly.