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Custom Claude Agents

Agents that read documents, decide and act in your systems, with human approval at critical points.

Discovery → build and validation → production

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Who it is for

Operations with volumes of documents and repetitive decisions: claims, contracts, reconciliation, triage.

The problem it solves

Processes that depend on reading documents, applying rules and updating systems consume hours of qualified people. Classic automation breaks with format variation; agents handle that, but are only reliable with evaluation, clear limits and supervision.

What we deliver

What we deliver

  • Process discovery: steps, exceptions, systems and who decides what.
  • An agent built with the Claude Agent SDK and Claude Developer Platform.
  • Integration with your systems and human approval at critical points.
  • Evaluations with real cases and observability of the agent's behavior.
  • Cost optimization, choosing the right model for each step.
How it works

How it works

01

Discovery

We map the process, collect real examples and define what the agent decides alone and what goes through a person.

02

Build and validation

We build the agent and validate it against real cases, with an evaluation set that stays with the agent afterwards.

03

Production

We put the agent live with observability, action limits and a review routine, and evolve it from usage.

You leave with
  • An agent in production integrated with your systems.
  • An evaluation set to measure quality at every change.
  • An observability and cost dashboard.
  • Documentation for your team to operate and evolve it.
How we measure

We define metrics per case with you: cycle time, rate of cases resolved without intervention, human review rate and cost per case, always against the manual process baseline.

What we need from you
  • A process owner to validate rules and exceptions.
  • Real examples of documents and decisions.
  • Access to the APIs and environments of the integrated systems.
FAQ

Frequently asked questions

Does the agent act alone in our systems?

Only within what is defined in discovery. At critical points there is human approval, and actions are logged.

How do we know the agent stays good after changes?

Through the evaluations built in the validation phase, which run on every relevant change.

Related offerings

Want to talk about this offering?

We start with a conversation to understand your scope. Each offering has a closed scope and price per phase.