Four CPO seats. One question every time: which bets actually ship?
ProductExec works with CEOs and product leaders who have more AI initiatives than owners. Two weeks in, you have a shorter roadmap, named owners, and a written case for each remaining bet.
Operating method
AI strategy
01Prioritized bets that can survive executive scrutiny.
Operating model
02Decision rights, rituals, and scorecards that reduce drag.
Execution path
03A practical roadmap from thesis to shipped capability.
What is ProductExec?
An executive advisory practice for AI, product, and transformation.
ProductExec works with CEOs and product leaders who have more AI initiatives than owners. Led by Kevin Owens — a fractional Chief Product Officer with four CPO-level roles — the practice works in three areas:
- AI Product Strategy. Finding the bets that create customer value and turning them into buildable roadmaps.
- Fractional Product Leadership. Serving as your CPO on contract for roadmap resets, team design, and transformation execution.
- Team Development. Installing the rituals, decision rights, and AI-enabled workflows teams need to execute faster.
Engagements run on three working frameworks — VPOM (Value Product Operating Model), ATLAS (Application Transformation for Legacy Architecture Simplification), and PRISM (Product Risk & Impact Selection Model) — which connect strategy to execution and outcomes to shipped value.
Services
Executive product leadership for teams under transformation pressure.
Each engagement is designed to create strategic clarity, unblock execution, and leave the organization with a stronger product operating system.
Fractional Product Leadership
A CPO in the room for the quarter the roadmap, the org, and the investment case all have to change at once.
Explore serviceAI Product Strategy
Two weeks. Every AI initiative on one page, ranked, with the ones you should stop marked as stopped.
Explore serviceTeam Development
The rituals, scorecards, and decision rights that keep the new roadmap from re-filling within two quarters.
Explore serviceProof
What changed, and what stayed in place.
Context
European automotive retail SaaS, four product tribes, dealer and OEM customers.
Situation
AI, machine learning, and conversational AI work was running across product lines without a shared thesis or a single owner.
Intervention
Consolidated the AI work behind a smaller set of product bets and named an owner for each.
Outcome
A single AI thesis with a named owner behind each bet, and a shorter list of committed initiatives.
Context
Scheduling software company repositioning from consumer utility to product-led B2B.
Situation
Product, design, product marketing, and support were aligned to the old consumer motion.
Intervention
Reset the roadmap around the B2B thesis and rebuilt the partner and integration strategy behind it.
Outcome
A roadmap, a partner strategy, and a go-to-market motion all pointed at the B2B buyer rather than the consumer one.
Context
Healthcare workflow company moving from tech-enabled services to enterprise B2B SaaS.
Situation
Core platforms and the partner network needed relaunching while delivery continued.
Intervention
Installed the operating cadence, decision rights, and coaching that let the team run discovery and delivery in parallel.
Outcome
Discovery and delivery running in parallel under one cadence, with decision rights held by the team rather than escalated.
Method
A practical operating system for AI-era product work.
VPOM (Value Product Operating Model), ATLAS (Application Transformation for Legacy Architecture Simplification), and PRISM (Product Risk & Impact Selection Model) connect strategy, modernization, and AI product delivery so teams can choose fewer bets and ship the right ones.
See the approachVPOM
01Value Product Operating Model. Aligns strategy, product bets, and AI-assisted delivery flow.
Read the frameworkATLAS
02Application Transformation for Legacy Architecture Simplification. Turns legacy systems and technical debt into transformation roadmaps.
Read the frameworkPRISM
03Product Risk & Impact Selection Model. Discovers, validates, and ships AI capabilities responsibly.
Read the frameworkWhy ProductExec
Operating judgment, not framework theater.
AI-native product judgment
Evaluate where AI changes the customer experience, cost structure, or competitive position.
Executive-grade alignment
Clarify decision rights, tradeoffs, risks, and investment posture before teams commit.
Outcome-backed execution
Translate strategy into operating cadence, metrics, delivery flow, and accountability.
Turn scattered AI ideas into a focused strategy, operating model, and execution roadmap.
ProductExec helps leadership teams identify where AI can create durable customer value, which bets are worth building, and what operating changes are needed to ship responsibly.
You leave with a concise AI product opportunity map, a prioritized execution path, and the operating model decisions needed before teams commit delivery capacity.
Led by Kevin Owens, a product and transformation executive with CPO-level experience across B2B SaaS, productivity, healthcare workflow, automotive retail, and AI-enabled operating model work.
Implementation partnerships through Enterprise AI Studio for hands-on execution and team enablement.
What you walk away with
Map the highest-value AI product and workflow opportunities.
Separate useful automation from low-impact experiments.
Identify data, process, governance, and adoption constraints.
Prioritize product bets by customer value, feasibility, and operating readiness.
Define the roadmap, decision cadence, and leadership ownership needed to move from idea to execution.
The first step
Ninety minutes on the decision you are actually stuck on.
Most advisory relationships start with a discovery call that discovers nothing. This one starts with work. Send the context beforehand — the roadmap, the org chart, the three AI initiatives nobody owns. We spend ninety minutes on the single decision blocking the others. You leave with a written point of view: what you should stop, what you should own, and what the next ninety days look like.
Format
90 minutes, one decision
Deliverable
Written point of view within 48 hours
Price
$1,500, credited against any engagement
Not a fit if you want a vendor evaluation, a staffing plan, or a deck to circulate. If ninety minutes shows this is not a fit, Kevin will say so and point you somewhere better.