AI integration
AI integration that does real work inside your product
We add AI features that save real time: assistants that answer from your own data, agents that automate busywork, and the monitoring to run them safely.
How we approach it
We start with the task, not the model. Where is your team losing hours? Where do customers wait for answers? Then we pick the right approach, from a simple LLM call to a multi-step agent, and measure whether it actually helps.
Production AI needs more than a prompt. We handle data pipelines, retrieval over your documents, evaluation, cost control and fallbacks, so the feature stays reliable as usage grows.
What we deliver
LLM features
Chat, summarisation, extraction and writing tools inside your product.
AI agents
Multi-step automation that handles repetitive workflows end to end.
Search over your data
Answers grounded in your documents and database (RAG).
Process automation
Connecting AI to your CRM, email and internal tools.
Evaluation
Test sets and metrics so you know the AI is getting things right.
Guardrails and cost control
Safe outputs, privacy controls and predictable spend.
Related work
all case studies
How a project runs
- 1
Week 1
Discover
We learn your business, your users and what is already built. You get a written scope and an honest estimate.
- 2
Weeks 2–3
Plan & design
Roadmap, milestones and clickable designs. You approve how it looks and works before we build it.
- 3
Weeks 3–10
Build in sprints
Two-week sprints with a live demo every week. You always know what is done and what is next.
- 4
Launch week
Test & launch
Testing, security checks and a launch plan. Then we stay on to support and improve what we shipped.
AI integration: common questions
Which AI models do you use?
We work with models from OpenAI, Anthropic (Claude) and open-source options, and choose based on quality, speed, cost and where your data needs to stay.
Is our data safe?
We use providers that do not train on your data, keep sensitive information out of prompts where possible, and can deploy models in your own cloud when required.
How do we know the AI is accurate?
We build an evaluation set from real examples and measure every change against it, so quality is tracked rather than guessed.
Can you add AI to our existing product?
Yes. Most of our AI work is adding features to products that already exist, through an API or a small service alongside your app.
Other services
Have a project in mind?
Book a free 30-minute discovery call. You'll get honest advice, a rough timeline and a cost range.