Service · 08

Custom AI Agent Development

Build agents that use your tools to complete a defined job.

The problem

A coordinator checks three systems before assigning each request. A chat response alone still leaves the lookup and handoff to the coordinator.

Our approach

We give the agent a narrow job, approved tools, and explicit stop conditions. For example, it can check availability and prepare a booking, then ask a coordinator to confirm it.

What's included

What we handle for you.

Tool permissions

Define the records the agent may read and the actions it may propose.

Run history

Capture tool calls, errors, and approvals so staff can inspect each run.

Deliverables

What you walk away with.

A working agent in your existing workflow
A test set covering interruptions and retries

Ideal for

Is this you?

Teams coordinating work across several business systems

Talk to us about this

Ongoing AI Support

Available with this service after launch.

This is not a separate service. It is the ongoing support option for keeping Custom AI Agent Development useful, maintained, and improving as your business changes.

Monitoring and small improvements after launch

New automation, dashboard, or workflow updates as the business changes

Monthly review of what is working, what is stuck, and what to build next

Support for connected CRM, data, email, and reporting workflows

In practice

Design the stopping point

A scheduling agent can look up availability and prepare a booking. Decide in advance whether it may reserve a slot, how long it may hold one, and who confirms the final booking.

Bring one job with a clear starting event and finish condition.

Scope a custom agent →

Frequently asked questions

Can an agent take actions in our tools?

Yes, where the integration and permissions allow it. Start with a limited action set and define which changes need approval.

How do you test interrupted runs?

Simulate timeouts and retries, inspect the action history, and verify that resuming a run cannot duplicate a completed action.

When is an agent a better fit than a fixed automation?

Use a fixed workflow when the steps are known in advance. An agent is useful when the next lookup or action depends on what it finds.

Who decides when the agent must stop?

The process owner defines stop conditions with us. Examples include conflicting records, a spending limit, or a customer asking for an exception.

Can we see why the agent made a change?

Log the input, tool calls, returned records, approval, and resulting change. That gives staff a sequence of observable actions to inspect.

What determines the cost of an agent pilot?

The main factors are the number of integrations, how much permission and approval logic is needed, and the range of exceptions the agent must handle.

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