mtech labs ai
Eastbourne · UK
/ Managed Intelligence Provider

AI has quietly removed every limit... all except imagination.

AI consultancy, software and workflow automation from a UK team that designs, builds and runs the applications, voice agents and API integrations you end up depending on. A new generation of Managed Intelligence Provider (MIP) — engineered into the way your business actually works.

Fluent across the AI stack that matters

  • Anthropic
    Anthropic
  • Claude
    Claude
  • Google Gemini
    Google Gemini
  • ElevenLabs
    ElevenLabs
  • n8n
    n8n
  • UiPath
    UiPath
  • Obsidian
    Obsidian
  • Kimi
    Kimi
  • Twilio
    Twilio
  • Microsoft Azure
    Microsoft Azure
  • Rewst
    Rewst
  • Retell AI
    Retell AI
  • Copilot Studio
    Copilot Studio
  • Power Platform
    Power Platform
  • OpenAI
    OpenAI
  • Aikido
    Aikido
  • Roboflow
    Roboflow
  • Replit
    Replit
/ Accredited through M-Tech Systems

Every AI and automation rollout we deliver sits on the assurance practice of our parent company, M-Tech Systems — operating since 2003, independently assessed and continuously reviewed. Available to buy through G-Cloud, TePAS2 and other public-sector frameworks.

  • ISO 27001

    The control framework every AI pipeline inherits — data, access, audit.

  • ISO 9001

    Repeatable delivery discipline — change control, documented, versioned.

  • ISO 14001

    Compute and model choices weighed against energy and lifecycle impact.

  • Cyber Essentials Plus

    Independently tested controls — patching, identity, malware, access.

  • AssurixIn progress

    NCSC CAF 4.0‑aligned trustmark — verified evidence, not assertions.

  • Continuous assurance

    Aikido-scanned code, current dependencies, continuously pen-tested hosting.

/ M-Tech Operating System

— the managed intelligence layer for your business.

Most businesses already have an operating system. It’s just made from inboxes, spreadsheets, disconnected software, manual approvals and knowledge trapped in people’s heads. M/OS turns that hidden operating system into something documented, connected, automated and intelligent.

/ DiscoverWorkflows, systems, risks and opportunities
/ BlueprintTarget operating model and 90-day roadmap
/ Automate · Assist · Voice · BuildAutomations, AI assistants, voice agents and the internal tools to support them
/ Govern · ImproveIdentity, audit, lifecycle and quarterly review
01/ What we build

Intelligent software for real business problems.

Not generic AI tooling. Practical, well-engineered systems that connect to the tools and information your teams already depend on.

02/ Problems we solve

The friction most operations have learned to live with.

If any of these look familiar, they're usually solvable with better-connected systems and a small amount of well-placed software.

  1. Teams rekeying data between systems

    Valuable time lost to copy-paste between platforms that should already be talking to each other.

  2. Fragmented approvals and onboarding

    Requests that bounce between inboxes, spreadsheets and chat, with no audit trail or ownership.

  3. Poor visibility across operations

    Important data locked inside individual tools, with no coherent view of what's happening.

  4. Valuable knowledge trapped in documents

    Institutional knowledge spread across SharePoint, PDFs and mailboxes — inaccessible when it matters.

  5. Manual service coordination

    Front-line teams juggling tickets, schedules and comms without a system that ties the workflow together.

  6. Clunky customer or staff journeys

    Experiences built from mismatched tools that feel slow, inconsistent and hard to support.

03/ How we work

A short, opinionated engagement model.

Enough structure to ship something good, not so much that you spend months in discovery. Every project moves through the same six phases.

  1. Discover

    We start with the actual workflow — people, tools, handoffs and failure points — not a product demo.

  2. Design

    We map the target architecture, the data movement and the experience, before anything is built.

  3. Prototype

    A working proof in days, not months. Real screens, real data flow, something to respond to.

  4. Build

    Proper engineering. TypeScript, identity-aware APIs, observability and deployment pipelines from the first commit.

  5. Deploy

    Launch into a supported environment with security, identity, access control and monitoring in place.

  6. Improve

    Measure how it's used. Iterate on friction. Extend where the value is — and decommission what isn't earning its keep.

This is the best engagement we've ever had with an external company.
South East Coast Ambulance ServiceIT Director
/ Latest

Recent thinking and what we’re up to.

/ Ai/ssessor

Find out where your AI actually stands.

Ai/ssessor is a free ten-minute conversation that reads your current AI posture — tools in use, where the risk sits, what to do first. No sales call, no sign-up; you leave with a scored report and a tailored 90-day path.

/ Start a conversation

Let's talk about what you're trying to build.

Book a discovery session and we'll walk through the workflow, the systems and the shape of the solution.