AI that does a job, not a demo.
Practical AI built into your actual systems: assistants grounded in your data, documents processed automatically, and answers you can trust — evaluated and monitored, not vibes-based.
Specialists in
The problem
Everyone's 'doing AI'. Few are shipping it.
Most AI initiatives die between the demo and the deployment. The prototype wows the board, then meets real data, real customers and real compliance questions.
The opposite failure is quieter: a stack of AI subscriptions nobody connected to the actual business, each one impressive and none of them doing a job.
We treat AI like any other software: a scoped use case, wired into your systems and data, evaluated against real examples before it ships, and monitored after.
Chatbot theatre
A demo that wows the board, then answers customers wrongly in production.
Tool sprawl
Five AI subscriptions, none connected to your data, your process or each other.
AI with a job description
A scoped use case, wired into your systems, evaluated against real examples before it ships.
How we deliver
From use case to production
AI discovery
We find the use cases worth doing, test feasibility on your real data, and fix the price.
Prototype and evaluate
A working prototype scored against a test set built from real examples, not cherry-picked ones.
Integrate and ship
Wired into your systems with guardrails, fallbacks and human escalation where it matters.
Monitor and improve
Accuracy tracked in production, models swapped as better ones arrive, quality re-verified.
Engagements
Three ways to start
AI work is priced like any other software: by scope. Discovery tells you what a use case is worth and what it will cost, before you commit.
AI Discovery
Two weeks to find the use case that pays.
- Workshops to map candidate use cases
- Feasibility testing on your real data
- Working proof-of-concept of the best one
- Evaluation criteria and success metrics
- Fixed-price quote for the full build
AI Feature Build
One use case, shipped and measured.
- Everything scoped in discovery, delivered in sprints
- Integration with your systems and data
- Guardrails, fallbacks and human escalation
- Evaluation suite and accuracy reporting
- Team training and rollout
- Two months of post-launch support included
AI Partnership
AI as an ongoing capability, not a one-off.
- A roadmap of use cases, prioritised by value
- Shared retrieval and data foundations
- Continuous evaluation and model updates
- Dedicated team with ongoing roadmap
- SLAs and priority support
Once live, monitoring, evaluation and model updates are covered by our monthly care plans, so quality holds as models change.
FAQ
Fair questions
Straight answers to the things people sensibly ask before commissioning AI work.
Contact
Discuss an AI use case
Tell us the process you think AI could help with — or the pile of documents, tickets or emails that eats your team’s week. We’ll come back within 24 hours with an honest view of whether it’s a real use case and what it would take.Call us on 0113 873 1039 or email [email protected]. Our office hours are Monday to Friday, 9:00–17:00 (UTC).