AI integration
AI integration that works in production, not just in a demo
Add AI to your product or operations, grounded in your own data and measured before it reaches customers.
A convincing AI demo takes an afternoon. A feature that stays accurate, safe and affordable once real people use it takes engineering: the right data, careful evaluation, and a plan for when the model gets something wrong.
We help you decide where AI is worth using, then build it properly into your product or operations. That means connecting models to your own data, testing them against real examples, and putting guardrails and monitoring around them before launch.
What you get
What we build and deliver
Use-case selection
We help you pick the places where AI will earn its keep, and tell you plainly where it won't.
Retrieval over your own data
Assistants and search that answer from your documents, tickets and databases, with sources people can check.
Evaluation before launch
A test set built from your real examples, so quality is measured and improvements are provable rather than guessed.
Guardrails, cost and monitoring
Controls for sensitive data and bad outputs, sensible model choices to manage cost, and monitoring once it is live.
The process
From first call to handover
- 01
Frame the problem
We agree the use case, the data involved and how success will be measured.
- 02
Prototype and test
A working prototype, tested against real examples, so you can judge quality early.
- 03
Productionise
Integration, guardrails, security review and monitoring, built to your standards.
- 04
Hand over and improve
Documentation and a way to keep measuring, so the feature gets better after launch.
Questions
AI integration: common questions
Which AI models do you work with?
We're not tied to one provider. We choose between the major commercial and open models based on quality, cost, latency and your data requirements, and we design the integration so you can switch later.
Will our data be used to train a model?
We design for your data staying yours. During scoping we agree which data the system can touch and choose providers and settings that match your privacy and compliance needs.
How do you stop the AI from making things up?
We can't promise a model never errs, so we design around it: answers grounded in your data with sources, evaluation against real examples, guardrails, and a person in the loop where the stakes are high.
Do we need a lot of data to start?
Usually not. Many useful features work with the documents and systems you already have. We'll tell you early if your data isn't ready and what it would take.
Other ways we can help
Custom software development
Web apps, internal tools and product features, designed and built by senior engineers who own the result.
Learn moreAPI & systems integration
Connect your CRM, billing, data and internal tools so information flows on its own, without copy-paste or brittle scripts.
Learn moreWorkflow & process automation
We map how work really flows, define the process, then automate the repetitive steps with software and AI, keeping people in control of decisions.
Learn moreLegacy modernization & rescue
We take over a fragile or aging application, make it safe to change, and modernize it step by step while the business keeps running.
Learn moreTell us what you're dealing with.
Book a free, no-obligation call. You'll talk to a senior engineer, we'll tell you honestly whether we can help, and you'll leave with a clear next step either way.