AI integration into the stack you already run.
For CTOs and heads of operations who do not need another vendor with a portal. Senior engineers wiring models into your data, your auth, your controls and your tooling — on the inside of the perimeter, not bolted on.
AI integration is not a procurement category. It is a series of careful decisions about where models sit in your architecture, how they touch production data, how they are observed, and what happens when they fail. Done well it is invisible to the rest of the business. Done badly it is the next breach.
Moonlabs is an integration partner, not a vendor. We sit inside your perimeter, alongside your engineers, and integrate AI into the systems you already run — CRM, ERP, ticketing, document stores, internal tools, the database that nobody documents. No proprietary middleware. No call-home telemetry. No lock-in to our platform, because we do not have one.
The team is James (Derby), Louis (Norwich), Phil (Nottingham) and Shivam (London). Four UK bases, national delivery, monthly retainer plus transparent hourly rate. Every engagement is structured so your team owns the code at the end.
Inside the perimeter
We deploy into your cloud, your repos, your CI, your auth, your observability stack. No black-box SaaS bolted to the side of your business. NDAs and DPAs as standard.
Evals, fallbacks, audit logs
Production-grade by default: model evals before deploy, fallback paths when models fail, human-in-the-loop where it matters, structured audit logs for compliance and review.
Hand over what we build
The runbook, the tests, the deployment pipeline and the on-call notes leave with you. Six months in, your engineers extend the system — not us.
Common questions.
How is AI integration different from AI consultancy?
Consultancy outputs recommendations. Integration outputs running systems wired into your stack. We do both, on the same engagement — diagnose, design, build, deploy, hand over. There is no "consult then partner-deliver" split.
Do you work inside our cloud, or yours?
Yours, by default. We deploy AI into your AWS / Azure / GCP account using your IAM, your secrets manager and your observability tooling. We can also stand up sandboxes for prototyping; production always lands inside your perimeter.
How do you handle data privacy and security?
We sign NDAs and DPAs as standard. We never train external models on your data without explicit written agreement. Defaults are private endpoints, no third-party logging, structured audit trails, and least-privilege IAM on every service we deploy.
What kind of AI integration projects do you take on?
Document handling, search and retrieval over internal corpora, agentic workflows, customer-service triage, internal copilots wired into your tooling, ticket routing, finance and back-office automation, and bespoke production AI tied directly into your existing systems.
What does AI integration cost in the UK?
Monthly retainer reserves capacity; delivery hours are billed transparently on top. Rate quoted on the first call once we have seen the integration surface. Most engagements pay back inside the first quarter via the workflow they automate.
The full Forward Deployment offer
Diagnose, build, operate. Engagement structure, pricing, and the four UK bases on one page.
About James, Louis, Phil & Shivam
The operators behind the work. £5m+ raised for their own companies, ~£10m across their broader career, AI-native since the week ChatGPT shipped.
More Academy entry points.
The Academy is one course with many doors. Each of these pages is a different entry point into the same twelve weeks.
Wire AI into the stack you already run.
Tell us about the systems and the integration surface. If we’re a fit, we’ll come back inside the week with a build plan, not a vendor pitch.
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