Build
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
- Scoping. We work out whether the job is actually agent-shaped. Many are not, and a deterministic script is the honest answer.
- Prototype. A narrow version against real inputs. You see output within days.
- 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.
- 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.
