AI inside the tools you use
The AI that gets used is the AI that appears where the work already happens. A separate tab with a separate login is a tool your team will try twice and abandon.
Integration is the difference between a pilot that impresses everyone in the demo and one that is still running in six months. The technology is rarely the hard part. The hard part is deciding where the AI should appear, what it is allowed to see, and how it behaves when the system it sits inside changes.
Also sold as AI implementation, AI enablement, LLM integration and AI systems integration.
The work it takes
off your desk
In the CRM
Summarise the account history before a call, draft the follow-up afterwards, flag the records that have gone quiet.
In the inbox
Classify what has arrived, pull out the details that matter, and draft a reply in your own wording for someone to send.
In the helpdesk
Suggest the answer from your own documentation, attach the relevant history, and route anything it cannot place.
In your own software
If you already run a bespoke system, the AI belongs inside it, on the screen where the decision is made.
No surprises,
in writing.
Scope and price agreed before anything is built. If we think you do not need this, we will tell you that instead.
Get a quote ↗- AI working inside the systems your team already opens
- A defined scope of what it can read and what it cannot
- Fallback behaviour for when the model or the system is unavailable
- Costs modelled on your real volumes before you commit
- Configuration and credentials held by you, not by us
Where this
goes wrong
Every supplier will tell you what their service does. These are the ways it fails, and what we do about each one. If a supplier cannot tell you this, they have not built enough of them.
The bolt-on nobody opens
A separate AI tool with a separate login competes with the work rather than helping it. If your team has to remember to go somewhere, they will not.
Data leaving quietly
Integrations are where business data ends up in places nobody agreed to. Establish where processing happens, what is retained and for how long, before anything is connected.
Per-seat pricing that scales badly
Plenty of integrations are affordable at ten users and absurd at a hundred. We model the cost on your real volumes before you commit, not after.
No behaviour for failure
Models have outages and rate limits. If your process stops dead when one does, the integration was not finished.
What everyone
asks us
Most mainstream business software has a proper interface and those are straightforward. Older or niche systems vary, and we check before quoting rather than after.
No. The premise of this work is the opposite: the AI moves to your tools rather than your team moving to a new one.
It depends on volume, and we model it on your real numbers as part of the scope, so there is no open-ended bill. Most integrations of this kind are a predictable monthly cost you can see before you start.
You do. The configuration, the credentials and any code we write are yours, and you are never locked to us to keep it running.
Other AI services
Start with
one job.
Tell us the task that eats the most time. We will tell you honestly whether AI is the right answer for it, and what it would cost to find out.
Get a quotation