Not as advisors handing over a deck — as operators who build, run, and hand off the system. Two clear offerings. No ambiguity about what you're buying or what happens next.
A full installation of the Product OS — from diagnostic to live system. By the end of Week 4, your team has a running operating model, not a plan for one.
Evaluate where the team is today — tools in use, consistency of practice, knowledge architecture, and current operating model. Set the baseline and identify the highest-leverage gaps.
Design the system tailored to your team's structure, tools, and OKRs. Define the knowledge architecture, agent configuration, workflow standards, and governance model.
Build and deploy the system inside your existing stack. Agents are configured, knowledge architecture is populated, workflow standards are documented and in place.
Train the team on the system, establish the governance rhythm, and set the 90-day success metrics. The handoff is to a running system — not a document explaining what to do next.
Who it's for: CEOs and CPOs who want AI adoption that actually sticks — not another pilot. Companies at any AI maturity level who are ready to build the operating model behind their stack.
Michael embeds as a fractional CPO — bringing Product OS as the operating model and executive-level product leadership as the engagement. This is not advisory. It's operational.
Who it's for: Series A–C companies that need CPO-level leadership without a full-time hire, or boards that need an experienced operator to stabilize and scale the product function.
We'll come back to you with a view of where you are on the maturity model and what an engagement would look like for your team.