Enterprise AI Integration

Add AI without going around your existing controls.

Teams want AI help inside their work tools, but it’s often unclear who owns the data, who can see it, and what the provider is allowed to do with it.

Discuss this service

What this covers

AI for one internal workflow, connected through your own app so data access and review rules stay in your control.

Tools

Model gateway, REST APIs, Identity integration, Evaluation. The exact stack depends on what you already use.

Where it helps

  • Summarising case notes staff are allowed to see
  • Drafting internal reports from approved records
  • Helping staff look up internal policies

We agree what “done” means before work starts.

What you get

  • One internal workflow with AI built in
  • Written rules for data access and review
  • Source code, setup notes and an agreed definition of done

The final list depends on the agreed scope. The estimate and schedule follow from it.

Data and security

With your team, we review how data is classified, the AI provider’s terms, where data may be processed, audit access, and who handles incidents.

How I work on it

Look at the workflow and data, set the security limits, prototype with sample data, test it, then roll it out in stages.

What helps me get started

  • A short description of the process and who uses it.
  • Sample data, any API documents, and what access is available.
  • How much it will be used, who reviews the work, and your release priorities.

A short outline is enough for a first call. Please send sample data, not real records or passwords.

Related services

Read the planning guide

Questions

Do you guarantee regulatory compliance?

No. Your legal and security people decide which rules apply. I build the agreed controls and document them for their review.

How do you price the work?

I look at the workflow, the systems involved, the access needed and what “done” means, then send an estimate. If there are big unknowns, we start with a short discovery or a prototype.