Product operating model reset
Reframed roadmap governance, discovery cadence, decision rights, and executive visibility for a scaling software business that needed clearer product accountability.
Proof: SaaS case study →Work · engagement patterns
Every engagement maps to one of six repeatable patterns — from readiness audits to fractional CPO leadership. For the deep dives behind them, see the case studies.
These describe representative engagement patterns and the approach taken — the shape of the work, not specific client results.
Each card describes a type of engagement I’ve delivered — what it’s for and what you get.
Reframed roadmap governance, discovery cadence, decision rights, and executive visibility for a scaling software business that needed clearer product accountability.
Proof: SaaS case study →Helped translate fragmented operator workflows into product and automation opportunities across customer intake, follow-up, and performance visibility.
Proof: automotive case study →Structured product opportunities where workflow automation, governance, and customer trust needed to be balanced before implementation.
Proof: healthcare case study →Clarified how research, analytics, and AI-assisted synthesis could become stronger product experiences and repeatable customer workflows.
Provided CPO-level strategy, portfolio prioritization, leadership rhythm, and stakeholder translation for teams moving through strategic inflection points.
Learn more: what a fractional CPO does →Mapped promising AI ideas into scoped pilots, implementation constraints, metrics, and adoption plans teams could run beyond the demo stage.
Learn more: the AI readiness assessment →These aren’t isolated projects. Each pattern is a repeatable way of helping leaders decide where to focus, how to structure teams and roadmaps, and how to connect strategy to implementation. The case studies show three of them end to end.
For current offers and scoping, advisory runs through ProductExec and implementation through Enterprise AI Studio. Three patterns have pages of their own: fractional CPO, the AI readiness assessment, and AI SaaS pricing.
With a diagnostic rather than a proposal. Most start as a scoped two-week readiness assessment or a single working session on the decision that is stuck. The engagement pattern is chosen after the constraint is named, not before — which is why the six patterns below are described as shapes rather than packages.
Yes — typically one to three days a week for two to four quarters, with decision rights and written exit criteria. The role, the fit test and the 90-day shape are set out on the fractional CPO page.
Advisory and fractional leadership contract through ProductExec; AI implementation, pilots and workflow agents contract through Enterprise AI Studio. Same person, different scope and commercial shape, so an advisory engagement never quietly becomes a build.
That is the normal starting position, and diagnosing it is part of the work. A useful free first pass is the readiness scorer in the Lab: the dimension you score lowest usually points straight at the pattern that fits.
Whether it’s a strategic inflection point or an AI implementation challenge — let’s find the right engagement pattern.
“Under his leadership everything turned around. The entire platform was redesigned and rebuilt to live in the cloud using modern technologies… making it best-in-class in the industry.”
David Fischkes, P.E. · Senior Software Engineer