Product (AI) Ops – Blue Sky Work

Mature how your product organization works — without adding a permanent function.

Most growing product & engineering teams reach a point where things start to blur: priorities shift without a clear reason, decisions live in someone's head instead of the team's process, and AI gets adopted tool by tool rather than changing how work actually moves.

Larger organizations solve this with a Product Ops function. Smaller and mid-size teams rarely have the size, budget or need for a permanent hire - but they feel the same friction.

👉 On average, product teams rate their own confidence in measuring the business impact of their work at just 3 out of 5. Most teams aren't lacking effort - they're lacking a process built to show what's working.
(State of Product Management 2026, Product-Led Alliance & ProductPlan)

I help teams get the benefit of product ops - and product ops adjusted for how AI changes the work - without adding headcount or process for its own sake.

Why now

AI is changing how product work gets done - discovery, planning, handoffs, even parts of delivery. Teams that adopt AI tool by tool without adjusting the process around it usually don't see the gains they expected. The tools get faster; the organization around them doesn't.

Product AI Ops is the discipline of keeping your product process deliberate as both the team and the tooling around it evolve - not just standing up the function, but making sure it's run with enough rigor to actually be worth it.

🔍 Assess

A short, focused look at how product actually gets built today as a working diagnosis.

How decisions move from direction-setting to delivery
Where handoffs slow things down or create rework
Where AI tools have been adopted individually but didn't change how the team works together
A short, concrete readout: what's working, what isn't, and why

🛠️ Improve

A small number of prioritized changes, chosen for where they'll actually be felt.

3-5 concrete improvement areas, ranked by impact - process, tooling or how AI fits into the day-to-day
Implemented alongside your team, not handed off as a document
Capped at 2-3 days a week, so it stays lightweight

🤝 Embed & Transition Out

The point isn't for me to keep doing this. It's for your team to own it once I leave.

Changes documented and owned by someone on the team
New habits practiced together until they hold on their own
A defined end point, agreed up front

Who this is for

Founders and CEOs still setting product direction themselves - this is about the team needing less of you to keep moving, not about adding process for its own sake.
Heads of product stretched across doing and leading - this gives you the discipline you're already applying instinctively, made explicit and shared, without needing a full-time hire for it.

Typically a fit for product & engineering organizations of roughly 5 to 25 people - from a single founder-led team to two or three squads with their own PMs.

How It Works

Explore

A short conversation about where things feel unclear or slow today, and whether this is the right fit.

Assess & Agree Scope

The diagnostic phase, followed by a clear, fixed plan for what gets improved and over what period.

Improve, Embed, Transition

The work happens alongside your team, ends on a defined date, and stays with you after I'm gone.

Built from operating experience

Over the past decade, I've helped numerous B2B SaaS companies scale their product and engineering organizations successfully:

Learn365 SaaS Platform

As Chief Product Officer and Head of Engineering at Zensai, scaled from early-stage to 3,000+ customers and 2.5M+ users globally

Wizdom Digital Workplace

As VP of Product & Engineering at Wizdom (now Omnia), led development supporting 1M+ daily users across global enterprises

GRC SaaS Solutions

As VP of Product & Engineering at Wired Relations, led cross-location teams establishing scalable product organization and processes

From nothing to marketable products

As Chief Product & Technology Officer at Adactit, built the first products and the product & engineering organization from zero to mature department

Is your product process still living in your head?

That's usually the sign it's worth a short, honest look.

Let's take a look together

If the bigger question interests you

Product AI Ops fixes how your product process runs today. If you're also asking bigger questions about team structure, roles and decision-making as AI changes what's possible, that's a different conversation - see AI-Native Product Organizations.