Service 03 / AI & operations

Custom AI Agent Systems

Build AI into the work that needs context and judgment. Deploy focused agents with explicit permissions, evaluation criteria, and human oversight.

What would a capable agent need to do the work responsibly?

We design agents around a specific operational job. That means defined tools, trusted context, constrained permissions, evaluation cases, and a human path for decisions the system should not make alone.

For workflows that need context, document interpretation, or coordinated actions beyond what a fixed integration can reliably handle.

WHAT YOU LEAVE WITH

A scoped agent workflow with evaluation criteria, documented permissions, monitoring, and a human escalation path.

Tangible work. Clear decisions.

What you receive.

The exact scope is agreed with you. These are the working outputs we shape the engagement around.

01

Agent specification

The job, approved context, allowed actions, prohibited actions, and decisions reserved for a person.

The decision it supports

Agree exactly what the system may do.

02

Working pilot and evaluations

Connected tools and representative tests for quality, exceptions, ambiguous inputs, and failure recovery.

The decision it supports

Judge fitness from evidence before expanding access.

03

Operating runbook

Permissions, monitoring, escalation, cost limits, review responsibilities, and procedures for changes.

The decision it supports

Give your team a system it can supervise.

Read our delivery standards

How the work moves forward

A clear path.
At every stage.

  1. 01

    Specify the job and boundaries

    Define inputs, allowed tools, expected outputs, and prohibited actions. Choose deterministic rules for the steps that do not need model judgment.

  2. 02

    Build and evaluate the workflow

    Connect the relevant systems, ground responses in approved information, and test normal cases, ambiguous requests, missing data, and attempted misuse.

  3. 03

    Deploy with operational controls

    Add human approval where needed, execution logs, failure alerts, cost limits, and a fallback. Establish an owner and a review process for future changes.

Make the engagement useful

Start with context.
Finish with evidence.

What we need to understand

  • A defined task and an accountable business owner
  • Approved knowledge sources and tool access
  • Examples of acceptable and unacceptable outputs

You do not need all of this ready for the first conversation. We agree access and confidentiality requirements before reviewing sensitive information.

What success can be measured against

  • Task quality against agreed evaluation cases
  • Human review time and escalation rate
  • Cost per successful task and recovery from failure

Targets follow the baseline. Capacity recovered, cash savings, and operating costs are evaluated separately.

Executive readingCompare a custom agent with off-the-shelf SaaS

Bring one workflow.
Leave with a direction.

Tell us about the workflow, the tools involved, and the result you want. We’ll discuss fit, scope, and a useful next step.

Request a diagnostic