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Custom Agent Development

An agent is only worth building when it finishes a job. We build the ones that do.

What is in scope

  • Defining the job precisely enough to be automatable, which is most of the work
  • Agent design, including what it may decide alone and what it must escalate
  • Tool and data access, scoped to the task
  • Output design — a deliverable someone acts on, not a transcript to summarise
  • Guardrails, logging and failure behaviour
  • Evaluation against real cases before it goes near production

How the engagement runs

  1. Scoping. We work out whether the job is actually agent-shaped. Many are not, and a deterministic script is the honest answer.
  2. Prototype. A narrow version against real inputs. You see output within days.
  3. Evaluation. Run it over cases where you already know the right answer. This is the step most agent projects skip and most agent failures trace back to.
  4. Hardening and deployment. Guardrails, escalation, monitoring.

What determines the price

Driven by how well defined the job is and how many systems the agent has to touch. A well-bounded single-system agent is a short engagement; one that has to reason across four systems with write access is a project.

When this is the wrong service

Stated plainly, because an engagement that should not have happened costs us more than it costs you.

  • The task has no checkable right answer. If nobody can tell whether the output is correct, an agent will confidently produce wrong work at scale.
  • You want an agent because agents are interesting. The ones that last solve a named, measured problem.
  • The process changes every week. Automate the stable part first.

Bring us the process that keeps breaking

A short call is usually enough to tell you whether this is the right service.

Certified across the platforms we build on

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