Production AI.
Frontier performance.
Built safely
AI deployment consultancy for regulated and operational teams — from first conversation to a live production system on your Microsoft estate.
Problems We Solve
The friction slowing
your organisation down.
Manual Processes
Teams spending hours on repetitive tasks that should be automated.
Data Overload
Operational data buried in systems with no intelligent layer on top.
Slow Decisions
Critical decisions delayed by poor triage, low visibility and fragmented workflows.
Solutions
Three ways we
deploy AI for you.
AI Deployment Sprint
Identify the highest-value opportunity, build the system, and deploy it to production in one focused sprint.
AI Platform Build
A full-stack AI platform integrated with your identity, data, workflows, and governance model.
AI Retainer
Continuous delivery, iteration, and performance improvement for production AI systems.
70% less manual triage.
Production. 30 days.
A regional NHS dental trust was spending the majority of each working day on manual allocation. Coordinators triaged referrals by hand — cross-referencing patient need, clinical priority, geography, and capacity across disconnected systems, relying largely on institutional memory to make the right call.
We embedded directly with the trust’s operations and digital teams. Before writing a line of code we spent time inside the workflow — understanding how decisions were actually made, where the edge cases lived, and what production-grade reliability would need to look like in a regulated clinical environment.
The result was an AI allocation engine deployed natively on Azure, integrated with the trust’s existing identity and data infrastructure. Live, processing real referrals, within 30 days of kickoff. No pilot environment. No staged rollout theatre. Production from day one.
Architecture
Enterprise-grade.
Secure by design.
Technologies we work with
Next Step
Book a 30-min
AI Strategy Call.
Tell us about your biggest operational challenge. We will identify the highest-value AI opportunity and outline how we would deploy it.