Built safely. Scaled properly. Run by people you can call.
We design, build and operate production AI systems around your data, workflows and commercial goals from focused internal platforms to multi-site and international deployments.
Current and recent work includes
Built across modern AI and cloud platforms including OpenAI, Anthropic, Microsoft, Google, AWS and Cloudflare.
What we do
The hard part is not finding an AI model. It is knowing what is worth building, keeping data safe, integrating with existing systems, and making sure the result still works when the tools, models and business requirements change. That is where Lumitec AI operates: production systems, real workflows, measurable value.
We build around your existing systems, identity and permissions — Microsoft 365, Google Workspace, CRM, PSA, document stores and databases. Data handling is defined up front, with clear boundaries on access, storage and retention.
We choose the right model and architecture for the workload — not the provider with the loudest marketing. Systems can be designed to move between models as quality, cost and capability change.
We design for monitoring, testing, permissions, reliability and support from the start. The aim is not a clever prototype — it is a system your business can depend on.
How we work
We do all three steps in-house — so you do not get one consultancy that sells you the strategy and a different one that fails to ship it.
A paid AI Readiness Diagnostic. We sit with you for a couple of weeks, learn how your business actually works, and map the highest-value AI opportunities. You get a 15-page plain-English diagnostic — yours to keep, whether or not we ever work together again.
A small embedded team — tech lead, senior engineer, part-time AI ops engineer — shipping production AI on a 2-week cadence. Working in your tools, on your stack, behind your auth.
Managed AI operations — for businesses that don't want to staff this internally. We monitor, update models when better ones come out, run evals before changes go live, and we're on-call for production issues.
Case studies
From planning intelligence and service desk automation to CRM-linked coaching workflows and bid-response platforms, Lumitec AI builds systems around real business data, real users and real operational constraints.
Lumitec AI is developing scalable custom applications for a large multi-national franchisee group, supporting data categorisation, cost analysis, operational insight and CRM-linked coaching workflows within Microsoft Dynamics.
Darren, Operations Director: "Lumitec understood the complexity quickly and turned it into practical systems our teams can actually use."
Lumitec AI supported the Norwich to Tilbury action group by aggregating Planning Inspectorate materials, public submissions and supporting evidence into a database-driven workflow for AI-assisted querying, analysis and document retrieval.
Rosie, Campaign Lead: "Lumitec gave us a way to work with a huge volume of planning material without losing the thread."
Lumitec AI built scalable front-end interfaces into complex PSA and CMS platforms, allowing tickets to be created from call recordings, screenshots, emails and text input, while unlocking deep reporting from more than 20 years of service data.
MSP Leadership Team: "The system turns fragmented information into structured tickets and usable insight for our helpdesk."
Lumitec AI built a dedicated workflow to ingest more than a decade of successful and unsuccessful sales bid data, giving RFP teams a practical interface to draft stronger tender responses using historic knowledge that traditional systems could not surface.
Commercial Director: "Lumitec helped us unlock years of bid knowledge and turn it into something our teams can use at speed."
Team
No layered consultancies. No "principal architect" bait-and-switch. The senior people who scope your project are the same people who design, build, deliver and support it — from first conversation to production system.
Co-Founder
Andrew has worked in IT since 1998, later founding and exiting a successful Managed Service Provider at the end of 2021. His background spans infrastructure, cybersecurity, managed services, client success and commercial technology delivery.
At Lumitec AI, Andrew focuses on turning complex AI requirements into production-ready platforms that can support ambitious SMEs, multi-site businesses and international organisations.
"AI has to be useful, scalable and commercially real — otherwise it's just noise."
Co-Founder
Andrew brings decades of experience across ERP, consultancy, industry and large-scale business systems. His work has centred on designing and delivering technology that supports complex operations and real business change.
At Lumitec AI, Andrew focuses on robust architecture, scalable platforms and practical systems that turn complex operational needs into usable business capability.
"Good technology should not just support the business — it should expand what the business is capable of."
Tell us what you are trying to improve, automate, rescue or scale. We will spend 30 minutes with you, ask practical questions, and tell you honestly where AI can help — and where it cannot.
ROI Calculator
A simple starting point, not a quote. Use the sliders to estimate potential capacity, efficiency or cost impact. We will pressure-test the assumptions properly during the Diagnostic.
Knowledge workers whose week the system would touch.
Drafting, searching, summarising, ticket triage, reporting.
Salary plus on-costs, divided by working hours. £45 is typical for UK SME knowledge staff.
Share of the team genuinely using the system each week. We rarely model above 70% in year one.
Indicative annual capacity value
£51,840
≈ £1,080 per week. Of 10 people in scope, ~6 actively using the system at 60% adoption.
FAQ
Yes — that is exactly the kind of call we like. Many strong AI opportunities start with a business problem, not a technical brief. We will spend 30 minutes asking about your business and tell you honestly whether AI is worth exploring, and where to start if it is.
Hiring internally can take months before anything useful ships. Lumitec AI gives you senior AI, software, data and delivery capability without having to build the whole team yourself. We can help you move quickly, then support, operate or hand over depending on what your business needs.
Data handling is defined at the start of every engagement. We build around your existing systems, identity and permissions, including Microsoft 365, Google Workspace and other business platforms. Access, storage, retention and residency requirements are agreed before anything goes live.
We design systems to avoid unnecessary model lock-in. Where appropriate, workloads can be routed between different models or providers as cost, quality and capability change. The architecture matters as much as the model.
No. The Diagnostic is designed to identify what is genuinely worth building and what is not. If the right answer is "do not do AI yet," that is what we will tell you.
Diagnostics typically start within 2 weeks. Build timelines depend on scope, integrations and data readiness, but we work in focused phases so clients can see progress early rather than waiting months for a big reveal.
Yes. We can review stalled or underperforming AI projects, identify what is salvageable, and give you a clear route forward. If the project needs to be stopped or rebuilt properly, we will say so.
Most clients start with a Diagnostic. Build projects are scoped around the value, complexity and level of integration required, with smaller production builds typically starting in the tens of thousands.
Book a call
Tell us where you are with AI — exploring, stuck, scaling or starting again. We will respond within one working day, and usually much sooner during UK business hours.
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