Packages

Five fixed-scope packages, each with a clear outcome: an honest verdict and roadmap from the consulting packages, working software from the build packages, and an ongoing partner that keeps what is built running and improving. Every package is quoted individually: tell us about your workflow, and where the work goes ahead we confirm scope in and out — you approve the quote before it starts.

We work with operations leaders at mid-sized companies, and with founders building software on a small team.

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Phased delivery plan

How the five packages line up on one path

Illustrative concept

Phase 1 · DirectionThe Clarity Session tests one workflow and returns a verdict; the Opportunity Audit returns a ranked, build-ready roadmap. Nothing is built yet.
GateIs there a workflow worth building — and is the outcome worth the effort?
Phase 2 · BuildThe Automation Sprint ships one workflow; the MVP Build ships a product. Both end deployed, documented and handed over.
GateIs what shipped actually operated and trusted by your team?
Phase 3 · OperateThe AI Lab Partner gives what is running an owner: a standing loop, monitoring and the next build.

Illustrative concept — not a client system. The five packages sit on one path with a gate between phases, so an engagement can stop at a decision point instead of drifting into the next phase by default. Sequence describes how the work is organised; what each phase covers is set out package by package on this page.

AI Clarity Session

The honest, low-commitment way to test whether AI is worth your money — before you spend it.

What it produces: advice. A decision on each idea on your list — worth doing, not worth doing, or build it. Nothing is built in the session itself.

Request a quote Entry package

What it covers

A short questionnaire on the workflows and pain points you want to examine.
A live working session walking three to five candidate use cases against your real workflows and data.
An honest per-candidate verdict — adopt now, automate, or not worth it — with no vendor pitch.
A written one-page summary with a recommended next step.

Not a fit if

The decision is already made and the only open question is who builds it — that is a sprint or an MVP Build.

Does not include a formal roadmap document, data-readiness review, or any build work. Full scope on the AI strategy & roadmaps page.

AI Opportunity Audit + roadmap

A fixed-scope audit that ranks where AI will pay off in your operations and hands your team a build-ready roadmap.

What it produces: a roadmap. A written, ranked plan — which opportunities are worth building, in what order, and what a build of each would have to cover. The builds themselves are separate packages.

Request a quote Scoping package

What it covers

Stakeholder interviews and mapping of your workflows, tooling and data flows.
Screening of shortlisted use cases for data readiness and security fitness.
Five to ten prioritised opportunities, scored on business value, effort and risk.
A three-lane roadmap — quick wins, integrations, MVPs — plus a readout workshop and a written document your team keeps.

Not a fit if

One workflow is already the obvious answer and you want it fixed — a sprint is a more direct route than a ranked plan.

Does not include implementation work; every recommended build is scoped separately. Full scope on the AI strategy & roadmaps page.

Automation & Integration Sprint

One production workflow or integration — engineered end to end inside the tools you already run.

What it produces: working software. One workflow or integration running in production against your real systems — not a specification and not a recommendation.

Request a quote Build package

What it covers

One defined workflow or integration, selected with you in kickoff.
Build on the appropriate stack — orchestration, API code, or both; hosted or open-source models as needed.
Error handling, logging, monitoring and security basics included in the build.
Production deployment, handover documentation and an operator walkthrough.

Not a fit if

You are still deciding whether AI is worth doing here at all — building first is the expensive way to find out.

Does not include multi-department agentic systems or ongoing maintenance. Full scope on the Automation & Integration Sprint page.

MVP Build

A working MVP with AI wired into your real data and systems — tested, documented and deployed to production.

What it produces: working software. A deployed product your customers or your staff log into, wired into your own systems and models — not a design file and not a prototype.

Request a quote Build package

What it covers

Spec refinement, UX and architecture from the audit roadmap or a dedicated kickoff.
A web app or internal tool with AI features, integrated with your existing systems.
Authentication, security basics, tests and documentation.
Production deployment and a handover session with an operator walkthrough.

Not a fit if

You have not yet decided what to build — an Opportunity Audit produces that decision first, and is cheaper than building the wrong thing.

Does not include native mobile development or post-MVP roadmap execution. Full scope on the MVP Build page.

ongoing AI Lab Partner

A standing engagement that keeps your AI systems running well and improving — with strategy reviews and a defined build allocation.

What it produces: ongoing operation. Shipped work that keeps running and keeps being improved — not a document and not a new build.

Request a quote Ongoing partnership

What it covers

Monitoring and upkeep of the automations, integrations and MVPs in production.
A defined allocation of build capacity each cycle for improvements and new workflows.
Regular strategy reviews and a written update on what shipped, what is next and what to stop.
Working sessions alongside the written updates, plus a roadmap review against business outcomes.

Not a fit if

Nothing is shipped yet — there is nothing to operate, so a session or an audit comes first.

Does not include unlimited capacity beyond the defined allocation. Full scope on the ongoing AI Lab Partner page.

How quoting works

Fixed scope only works if the quote and the deliverable are aligned before work starts. The path is the same for every package.

Send the request

Tell us which package you are considering and describe the workflow or product behind it.

We confirm scope

Where the work goes ahead, we map it to the package, write down what is in and out of scope, and confirm the deliverable.

You approve the quote

The quote and scope are the contract for the engagement — no work starts before you approve both.

Receive the outcome

Consulting packages finish with the verdict and roadmap agreed in scope; build packages finish deployed in production, handed over with documentation and an operator walkthrough.

Unsure which package fits?

Describe what you are trying to run. The request is recorded, and hi@m00labs.com is the published email address — no obligation either way.

Request a quote Start with a Clarity Session