---
title: "Custom Agentic AI Services | Data-Driven AI"
canonical: "https://data-driven.com/services/agentic-ai-custom-agents/"
description: "Explore custom Agentic AI solutions shaped around a defined use case and the performance criteria that matter to your organisation."
---

# Custom agents for _a defined use case_

Define the job, the allowed actions, and the checks that show whether an agent is useful.

![Copilot and Copilot Studio connected to a network of custom agents](/_astro/DD-Website-Page-Banner-image-21.DdkohoRW_26qf6t.webp)

Use-case brief

## Describe the job before choosing the agent

Start with a real task and the person responsible for it. Then define what the agent may do, where it must stop, and how the team will review its work.

[Discuss a use case](/contact-us/)

Job

A named task or decision

People

Users and accountable owner

Boundary

Allowed and blocked actions

Check

Useful performance in context

Agent boundary

## Make the stop points visible

An agent brief should state what the system can attempt and what remains with a person. It should also name the data and systems needed for the task.

### Questions to settle

Which actions need approval?

Which data sources may the agent use?

What should happen when the agent is unsure?

Who reviews errors and changes?

Acceptance path

## Test the agent against the work it was given

The use case supplies the test. The owner decides whether the result is useful enough to move forward.

Task

A specific job with known inputs.

Check

Performance criteria tied to that job.

Owner

A person who decides what happens next.

## Bring a use case, not a generic AI brief

Share the task, the people involved, and the checks that matter. We will use them to test the service fit.

[Discuss an agent use case](/contact-us/)

[View all services](/our-services/)

## Want to learn more?

Explore the rest of the site or get in touch with the team.

[Back to home](/)