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Agents that do the work, and stay inside the lines.

We design and ship agents that take real work off your team, each with scoped permissions, human approval where it matters, evaluations and an audit trail.

Discuss AI Agent Engineering
Investment
From $2,490
per agent, or $1,490/mo ongoing
Timeline
2 to 4 weeks

The problem

Most agent projects stall between demo and production: edge cases break them, costs drift, and nobody can say what the agent may do or prove what it did.

Who it is for

  • Teams with a repetitive, high-value workflow
  • Companies whose pilot agent stalls before production
  • Leaders who need agents security and legal will approve

What you get

1

Workflow and risk design

What the agent does, may never do, and where a person approves.

2

Agent build

Tools, retrieval and integrations with your systems.

3

Permission layer

Per-agent identity, limits, approvals and a kill switch.

4

Evaluations

A test set run before every release.

5

Observability

Tracing, dashboards and cost routing.

6

Handover

Runbooks and training, or ongoing ownership.

How it runs

  1. 1

    Scope

    A free 30-minute scoping call and a fixed quote.

  2. 2

    Build

    Weekly releases to staging.

  3. 3

    Harden

    Evals, permissions, monitoring.

  4. 4

    Launch

    Gradual rollout with human approval until numbers hold.

What we report on

  • Task success rate
  • Hours returned
  • Cost per task
  • Escalation rate

Common questions

  • Whatever fits: Claude, GPT, Gemini or open-weight models, often routed to control cost.

Ready to talk about AI Agent Engineering?

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