AI Implementation
We take AI from idea to production. Custom-built, governance-compliant, deployed on your infrastructure — and fully owned by your organisation from day one.
What we build
We design and build AI systems across the full complexity spectrum — from intelligent document automation and AI-assisted decision tools through to agentic workflows and custom patient-facing applications. Every build is scoped to your specific operational problem, not adapted from a template.
Our implementation approach
- Discovery and requirements workshop — we define the problem, the data, and the success criteria
- Architecture and system design — we design the solution before writing a line of code
- Build and testing — iterative development with regular review points
- Governance review — compliance, data handling, and human oversight built in
- Deployment on your infrastructure — we never hold your data or your system
- Handover and documentation — your team owns it completely
What we've built in production
- CHC and Section 117 care review CMS — 80% reduction in admin time
- AI-powered QA portal with human-in-the-loop sign-off — significant reduction in clinical review time
- FHIR-compliant SVT patient tracking application
Technology we work with
We work across the major AI model providers — Anthropic Claude, OpenAI, and open-source models — and choose the right tool for the job, not the one we happen to prefer. All builds are compliant with UK GDPR, DSPT, and sector-specific frameworks.
Common questions
What does AI Implementation include?
We design, build, test, and deploy a complete AI solution into your operational environment. This includes solution architecture, integration with your existing systems, user testing, documentation, and a structured handover so your team can manage it independently.
How much does AI Implementation cost?
From £8,000 as a fixed fee scoped after the Operations Reduction Audit. The exact fee depends on complexity, number of integrations, and whether the build includes custom AI models or existing APIs.
What AI technologies do you build with?
We use OpenAI GPT-4, Anthropic Claude, and open-source models depending on the use case. On the automation layer we work with n8n, Make, and bespoke Node.js or Python backends. All builds are deployed on your infrastructure — we do not lock you into proprietary platforms.
How long does an AI implementation take?
Most implementations run 4–12 weeks from scoped brief to handover. Simpler workflow automations can be delivered in 2–3 weeks; complex custom applications typically take 8–12 weeks.
What happens after the build is handed over?
Every implementation includes documentation and a handover session. We offer ongoing support retainers for organisations that want continued oversight, and we can train internal teams to manage and extend the system themselves.
Every engagement starts with the Operations Reduction Audit.
No matter what you need from us, the audit comes first. It tells us exactly where you're losing time and money — so we can be certain we're delivering the right solution for your organisation.