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AI agents

AI agents connected to a defined business task.

Build an agent around a bounded task: read the right information, use permitted tools and return a useful result. Agree what it may do on its own and when it must ask for review.

For teams automating a workflow that needs language or judgment.

Discuss an AI workflow ↗

Work directly with Paul · Scope agreed before implementation

Illustrative workflow
01
Task + context
02
Permitted tools
03
Result or review

What you get.

A defined deliverable at every step
01

Task & boundaries

Define inputs, permitted actions and completion criteria.

02

Tool connections

Connect the selected APIs and information sources.

03

Human review

Route uncertain or consequential steps to an authorized person.

04

Evaluation

Use representative examples to check behavior and usage costs.

Delivery

Small steps.
Visible progress.

  1. 01Share the brief
  2. 02Agree the scope
  3. 03Build & review

Pricing follows the scope. Existing code, integrations, content and release requirements affect the estimate. You’ll see deliverables, milestones and third-party costs before committing.

Useful answers.

Does my workflow need an agent?

Not necessarily. A straightforward rule or existing automation may solve it with less complexity.

Can it update our CRM?

If the system provides suitable access, we can scope allowed fields, actions and approval rules.

Can it operate without supervision?

That depends on the task and consequences. Autonomy is an explicit design decision, with limits and recovery steps.

Your next step

Have a project
in mind?

Share what you need, what already exists and your timing. I’ll reply personally within one business day.

paul@forward-growth.com

AI agents

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