AI assistants & copilots
In-product assistants that help users do real work, grounded in your data and your domain rather than generic and guessable.
Service · Our Specialism
AI Systems
Where it pays off, we build AI in.
Design and engineering, under one roof
The order
What this service is for.
AI assistants, RAG and knowledge systems, workflow automation, document understanding, semantic search, and AI features built into real products. Not a chatbot bolted onto a homepage - intelligence engineered into the work, grounded in your data, tuned for production.
There's a wide gap between a demo and a system you can rely on. A lot of 'AI features' are a model wired to a prompt that works in a screenshot and falls over in the real world. We build the other kind: grounded, evaluated, and engineered to hold up at scale.
Because we also design and build the surrounding product, the AI doesn't sit awkwardly to one side. It lives where the work actually happens - inside your flows, your data and your operations - so it does more, costs less to run, and pulls ahead of the competition.
What we can make happen.
Practical capability, scoped around the outcome rather than a fixed package.
Workflow automation
Agents and pipelines that remove manual work - triage, generation, classification, follow-up - running reliably in production.
Retrieval (RAG) & knowledge systems
Answers anchored to your documents, catalogue and history - traceable and verifiable, not improvised by a model guessing.
Document understanding
Extracting structure and meaning from contracts, forms, reports and unstructured files at a scale no team could do by hand.
Recommendations & personalisation
Surfacing the right content, product or next action for each user, built on your real data.
Semantic & natural-language search
Search that understands intent rather than matching keywords, across your own content and data.
Model selection & evaluation
Choosing the right model for each task and building the evaluation harness that proves it works before it ships.
AI strategy & feasibility
An honest read on where AI will and won't pay off in your product, so you invest where there's genuine leverage.
Included in the order
What you get
- Working AI feature in your product
- Grounded, evaluated model pipeline
- Evaluation & quality harness
- Documentation of methodology & data
- Monitoring & cost controls
- Roadmap for further enhancement
From brief to open sign
How the work moves.
Find the leverage
We identify where intelligence genuinely helps - a process to automate, a decision to sharpen - and where it doesn't. You only invest where it pays off.
Ground it
We connect the system to your real data through retrieval and structured context, so outputs are anchored and verifiable rather than invented.
Engineer & evaluate
We build the pipeline and the evaluation harness together, so quality is measured, not assumed, before anything reaches users.
Ship & monitor
It goes live with monitoring and cost controls in place, and we tune it as real usage teaches us where it can do more.
Good questions
Before we get started.
Is this just adding a chatbot to my site?
No - and that's rather the point. A chatbot bolted to a homepage is the version that gets clicked once and forgotten. We build intelligence into the places where the work actually happens, grounded in your data, where it creates measurable leverage.
How do you stop the AI making things up?
We ground systems in your real data using retrieval and structured context, so answers are anchored to verifiable sources rather than improvised. We also build evaluation harnesses that test quality before anything ships, and monitoring that catches problems in production.
Which AI models do you use?
We choose the model to fit each task - tuned for cost, latency and quality - and engineer the system around it rather than the other way around. We work with current frontier models and select based on what the job actually needs.
Do I need a lot of data to start?
Not necessarily. Many high-value AI features work from the data and documents a business already has. Part of our job is an honest feasibility read - telling you what's possible with what you've got, and what would need more.
Can you add AI to a product you didn't build?
Yes. We can integrate AI capability into an existing product, or design and build the surrounding experience as well if the feature needs it to land properly.
Ready when you are
Ready to talk ai systems?
Bring us the rough brief, the awkward problem or the half-formed idea. We will help make the next move clear.