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MVP Build

A working MVP with AI wired into your real data and systems — internal tool or web app, built to production quality so the first release is something your team can operate and build on.

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Abstract technical illustration: three stacked architecture layers of increasing width over a four-stage delivery rail, joined by short vertical teal connectors.
Architecture and delivery stages

What gets built, and in what order

Illustrative concept
Architecture Surface Client surfaceWhat your users open Admin surfaceWhat your team operates IntegrationsThe systems it must touch AuthWho may do what Logic API layerContracts and rules Workflow logicSteps, retries, queues Model layerHosted or open-source Scheduled jobsRecurring work Data Primary storeThe record of truth DocumentsFiles the workflow reads EventsWhat happened, and when BackupsRecoverable by design the architecture the build is held to Delivery stages 01SpecScope, interfaces, done 02BuildWorking software, in slices 03TestAutomated checks plusmanual passes 04DeployProduction, with a handover Documentation and an operator walkthrough ship with stage 04 — the build, not a separate engagement.
01Architecture firstSurfaces, logic and dataare drawn and agreedbefore the first commit:what the product touches,and what it deliberatelydoes not.0201 · SpecThe scope, the interfacesand the definition of doneare written down andapproved.0302 · BuildWorking software in slicesyou can steer, with thearchitecture as the contract.0403 · TestAutomated checks plusmanual passes on thepaths that carry the risk.0504 · DeployProduction deployment withdocumentation and anoperator walkthrough.
  1. Architecture firstSurfaces, logic and data are drawn and agreed before the first commit: what the product touches, and what it deliberately does not.
  2. 01 · SpecThe scope, the interfaces and the definition of done are written down and approved.
  3. 02 · BuildWorking software in slices you can steer, with the architecture as the contract.
  4. 03 · TestAutomated checks plus manual passes on the paths that carry the risk.
  5. 04 · DeployProduction deployment with documentation and an operator walkthrough.
Illustrative concept — not a client system. The upper lanes are the architecture an MVP build is held to; the lower row is the order the work ships in. Category labels describe the shape of a build in general, not a specific stack: the actual components are chosen per product in the spec stage.

What an MVP Build delivers

The package covers one defined product: a web app or internal tool with AI features — OpenAI, Anthropic or open-source models per problem — integrated with the systems your team already uses. The spec is refined from your Opportunity Audit roadmap or a dedicated kickoff, and frozen before the build sprints start.

The first release is not a clickable prototype. It is deployed software with authentication, security basics, tests and documentation — the foundation your team can extend after handover.

What it produces: working software. The deliverable is a deployed product that your customers or your staff log into, wired into your own systems and models — not a design file, not a prototype, and not a plan for one.

Who it is for

  • Founders and product owners with a specific product in mind and the decision already made that it is worth building.
  • Companies whose internal tool has outgrown spreadsheets and cannot be bought off the shelf.
  • Teams that need the first release to be real software from the outset, with the data model and access rules settled early rather than retrofitted.

Who it is not for

  • Anyone who has not yet decided what to build. An Opportunity Audit produces that decision first, and is cheaper than building the wrong thing.
  • A single painful process that one automation would fix — an MVP Build is the wrong size for that.
  • Scope that has to stay open while it is built. The spec is frozen before the build starts, and a change means re-scoping rather than quietly absorbing it.

What you bring

  • The problem in your own words, plus the person who decides what the first release must do.
  • Users — a few of the people who will actually work in it, available to check the build against their real work.
  • Access to the systems and data it has to connect to, or a realistic stand-in for them.

What we settle before any build work

  • The frozen spec: what the first release does, what it deliberately does not do, and who accepts it.
  • How data flows and where it is stored, where hosting and access sit, and which accounts are involved — agreed and documented in scoping, before any build work starts.
  • The model choice per feature, with the reason recorded, so that choice stays visible and revisitable.

Where this sits among the five packages

This is the package for building a product. The other four decide what to build, put a single workflow into production, or keep it running:

  • AI Clarity Session — advice: an honest verdict on the AI ideas already on your list.
  • AI Opportunity Audit + roadmap — a ranked plan of what to build first, with the effort and risk attached to each.
  • Automation & Integration Sprint — one existing process automated, rather than a new product.
  • MVP Build — this page: a defined product, built and deployed.
  • AI Lab Partner — ongoing operation: the product keeps being maintained and improved.

Compare the five packages to see what each one produces.

What is included

  • Spec refinement, UX and architecture, from the audit roadmap or a dedicated kickoff.
  • The full build: a web app or internal tool with AI features, integrated with your existing systems.
  • Authentication, security basics, tests and documentation as part of the deliverable.
  • Deployment to production with a handover session and an operator walkthrough.

What is not included

  • Post-MVP roadmap execution — scoped as a new engagement or covered by the AI Lab Partner.
  • Native mobile development; that is a separate scope.
  • Enterprise compliance certification, model training or data labelling, and content or marketing.

Describe the product you want built.

Tell us what the tool should do, who uses it and which systems it must connect to.

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