Services · AI Integration

AI integration services.
Your stack, made smarter.

You already have the systems, the data and a way of working. We add AI inside them so the repetitive parts get done with less manual effort, and your team keeps working where they already work.

00The short version

Most teams don't need new software. They need the software they have to do more.

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The common mistake is buying another tool. Your team now has one more login, one more place to check, and the manual copying between systems has not gone anywhere. An integration takes the opposite route: the AI works inside the CRM, the case system, the inbox or the document store your team already lives in.

That means real engineering rather than a subscription. Reading from your systems through their APIs, respecting the permissions you already have, writing results back in a form your team trusts, and logging what happened so anyone can check the AI's work.

We scope this in fixed phases. The first phase is deliberately small: one workflow, one integration, something you can put in front of the people who do the work and judge honestly. If it does not earn its place, you have not committed to a year of building.

01What's included

What an integration project actually involves.

Connecting your systems

API work against your CRM, ERP, case management, ticketing, document store or inbox. Where an API is missing we look at scheduled exports, email pipelines or webhooks before suggesting anything gets replaced.

Getting your data ready

AI is only as good as what it can see. We handle the unglamorous part: cleaning, structuring and indexing your content so the AI answers from your reality rather than the open internet.

Fitting your workflow

Results land where the work already happens, with a clear route for a person to correct or override. No parallel process, no new dashboard nobody opens.

Monitoring and hand-off

Logging, error handling, and a plain-language view of what the AI did and why. Your team gets documentation and a walkthrough so they can run it without us.

02Honest fit

When an integration is the right call, and when it isn't.

This is a good fit if
  • Your team copies information between two or more systems every day
  • You have systems with APIs, or exports you can rely on
  • The task is high-volume and follows rules you can describe
  • You want the result inside your existing tools, not another login
We'll tell you to skip it if
  • The underlying process is undefined or changes every week. Fix the process first, then automate it.
  • The volume is genuinely low. If a person spends twenty minutes a week on it, the integration will not pay back.
  • What you actually need is a new product rather than an add-on. That is an app build, and we will say so.
03How it runs

Four phases, each one something you can see.

01
Discover

We map the workflow, the systems involved and what a good result looks like. You get a costed plan before any build.

02
Connect

The integration is built against your real systems on a test path, so nothing touches live data until you are ready.

03
Pilot

A small group runs it on real work. We tune thresholds and fix what surfaces, together.

04
Hand off

Documentation, monitoring and a walkthrough with your team. Support after that is your choice, not a lock-in.

Tell us the workflow that wastes the most time.

The first call is free and there is no pitch. Describe the process, and we will tell you honestly whether an integration is worth it, roughly what it would take, and what we would do first.

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FAQ

Questions about AI integration.

What are AI integration services?

AI integration means connecting AI capabilities into the software you already use, rather than buying a separate tool your team has to learn. In practice that is API work, data plumbing, permissions, and the interface changes needed so the AI output lands where the work already happens.

Do we need to replace our current systems?

No, and that is the point. An integration sits alongside your CRM, case management system, document store or ERP and talks to them through APIs, webhooks or scheduled jobs. If a system has no API at all, we will tell you early and propose a workaround rather than a rebuild.

How long does an AI integration take?

A single, well-defined integration usually ships in two to four weeks. Something touching several systems with real permission rules runs six to twelve weeks. We break it into fixed phases so you see working software every couple of weeks rather than at the end.

What about our data privacy?

We design for it from the first phase: what data leaves your environment, which model provider processes it, what is retained, and who can see what. For sensitive work we prefer setups where your content is not used for training and where access follows your existing permissions.

How do you decide what to integrate first?

We look for a task that is high-volume, rules-heavy, and currently done by a person copying information between two places. That is where an integration pays back fastest and where the result is easiest to measure honestly. Our getting-started guide walks through the same exercise you can run yourself.