AI transformation, led by the operator who has already shipped it.

How an AI transformation engagement runs

Four phases. Each ends in a decision the executive team can make with confidence.

1. Week 1–2

   Assess

   Data, systems, team capability and the honest state of the current portfolio.

2. Week 3–4

   Sequence

   Use cases ranked by value and feasibility, with a costed roadmap and target architecture.

3. Week 5–12

   Build

   A nearshore pod ships the first use case to production alongside your team.

4. Ongoing

   Transfer

   Your people own the platform. We stay only as long as we are adding leverage.

We build products, not just decks

M2Innovate runs its own product line. The same team that writes the roadmap ships the software — which is also how the advisory practice keeps its hands in the work.

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  Rally

  Coming soonAI · Local services

  You will never drop a ball.

  Customer texting for plumbers, HVAC pros, electricians and other local service businesses. Rally drafts the reply in your voice — confirming appointments, following up on quotes, coordinating arrival times — and you approve every message before it sends.

  • Drafts in your business's voice, never a robotic assistant tone
  • One-tap approval — nothing sends without you
  • Built for the trades, not retrofitted from a generic inbox

  Visit Rally↗(opens in a new tab)

Straight answers

What does an AI transformation consultant do?

An AI transformation consultant assesses where your data, systems and teams actually stand, picks the use cases with real economic value, and leads delivery into production. M2Innovate does all three and supplies the engineers who build it.

What is a fractional CPO?

A fractional CPO is a senior product executive working one to three days a week instead of full time. You hire one when product decisions outgrow the founder's bandwidth but a full-time chief product officer is premature — usually Series A to C, or post-investment in a PE portfolio company.

How do nearshore engineering pods work?

A nearshore engineering pod is a dedicated team of AI architects, AI engineers, full-stack and mobile developers working in time zones that overlap your own. You scale the pod by the quarter and engage it for a fixed project or as an ongoing extension of your team.

How fast can we start?

Advisory work typically begins within two weeks of the first call. A staffed nearshore pod is in place in three to four weeks.

Does M2Innovate build its own products?

Yes. Alongside the advisory practice, M2Innovate builds and owns product IP — currently Rally, an AI customer-texting tool for plumbers, HVAC pros and electricians that drafts replies in the business's own voice for one-tap approval. Shipping its own software is how the practice keeps operating experience current rather than theoretical.

Who does M2Innovate work with?

M2Innovate works with venture-backed founders from Series A to C, private equity operators and their portfolio companies, and mid-market executives running a transformation. The common thread is a company where product decisions carry real economic weight and the AI plan has to survive a board conversation.