Services

m00labs takes a concrete business problem and decides with you what it needs: a scoping conversation that ends in an honest verdict and a roadmap, or an automation, custom integration or full MVP that ends in working software. The work is organised into four practice areas, sold as five fixed-scope packages.

AI strategy & roadmaps

Figure out honestly whether and where AI earns its keep in your operations — then get a build-ready roadmap. Two entry packages: the AI Clarity Session and the AI Opportunity Audit + roadmap.

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Automation & Integration Sprint

One production workflow or integration, engineered end to end inside the tools you already run — with error handling, logging, monitoring and handover documentation included.

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MVP Build

A working MVP with AI wired into your real data and systems — spec, architecture, build, tests, documentation and a production deployment your team can operate.

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ongoing AI Lab Partner

A standing engagement that keeps your automations, integrations and products running well and improving — regular strategy reviews plus a defined build allocation.

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How to choose a starting point

Most engagements fit a simple path:

  • You are not sure AI applies to your operation at all. Start with the AI Clarity Session — a low-commitment working session with an honest verdict on your candidate use cases.
  • You know there is opportunity but need it ranked and sequenced. The AI Opportunity Audit + roadmap maps your operations and produces a build-ready plan.
  • You already know the workflow you want to fix. Go straight to an Automation & Integration Sprint or an MVP Build.
  • You have shipped work with us and want it maintained and extended. The ongoing AI Lab Partner keeps everything running and improving.

What every service shares

  • Fixed scope. Scope in, scope out and the deliverable are agreed in writing before the work starts.
  • Model-agnostic delivery. OpenAI, Anthropic or open-source — chosen per problem, not per partnership.
  • Clear outcomes. Consulting packages end in an honest verdict and a roadmap your team keeps; build packages end in working software.
  • Engineering depth. On build packages, error handling, logging, monitoring, tests and documentation are part of the delivery — with an operator walkthrough at handover.

Not sure which service fits?

Describe the workflow you want to run and we will recommend a package and send a scoped quote.

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