Your team has AI tools. Nothing has changed.
I turn scattered AI use into workflow change that actually ships. I map the real bottlenecks, rewire the highest-leverage workflows, and train internal champions so the gains stay after I leave.
HOW IT WORKS
Most teams do not have an access problem. They have a workflow problem. PMs draft faster, engineers generate more code, and designers explore more options, but the same handoffs, review loops, and decision bottlenecks are still there. I map the live workflow, pick the 1–2 changes most likely to move throughput, and install them inside the team's real stack.
Find Leverage
- Map the live workflow across product, design, and engineering
- Interview leads and ICs to separate real bottlenecks from local preferences
- Choose the 1–2 changes most likely to move cycle time, review throughput, or handoff speed
- Define what not to change yet
Rewire the Work
- Rewrite handoffs, review loops, and decision rules inside the team's live stack
- Add AI assists, agent rules, and lightweight automation where they reduce friction
- Run the new workflow with the team in real work, not a sandbox
- Fix failure modes as they surface
Make It Stick
- Train internal champions on the new workflow and operating rules
- Document roles, QA checks, and exception handling
- Hand off a system the team can run without me
- Verify the gains hold after I step back
IS THIS A FIT?
Best Fit
- Software company with a real product, engineering, and design org
- AI tools are already in the building, but throughput still looks mostly the same
- A founder, CTO, CPO, or VP Eng owns velocity
- The org is willing to change process, not just buy more seats
Not a Fit
- You want a chatbot or AI product vendor
- You want governance, vendor selection, or board-level AI strategy
- You want generic prompt training for the team
- You need a builder to ship a single feature
ENGAGEMENTS & PRICING
Workflow Diagnostic
- Map the current workflow end to end across product, engineering, and design
- Diagnose the bottlenecks slowing cycle time, review flow, or handoffs
- Choose the first workflow worth changing and define the success metrics
- Outline a 30-day pilot plan if there's a fit
AI Workflow Sprint
- Rewire one to two high-leverage workflows inside the live stack
- Install the prompts, agent rules, and light automation that support the new flow
- Run the new workflow with the team and fix friction in real time
- Hand off operating rules, champions, and success measures
Fractional AI Lead
- Expand the first win into adjacent workflows across product, design, and engineering
- Coach internal champions and keep the new operating model healthy
- Evaluate new tools only when they improve the workflow
- Run regular operating reviews with async support between sprints
"The best Product leader I've ever worked with, hands down."
"Product Management is an incredibly hard job to do well within a creative organization. It requires immense respect (bordering on reverence) for the often-delicate creative process, while simultaneously applying rigorous diligence and discipline required to ship insanely great things. I had the opportunity to collaborate with Bill for several years on Words With Friends, and the tremendous evergreen success of that franchise is a testament to his brilliant leadership."
Before AI, I spent years fixing the same operating problem AI now exposes more brutally: teams can create more than they can absorb. More drafts. More options. More code. More review load. My work is redesigning how work moves so faster individual output becomes faster team output.
Selected operating track record:
Ready to turn AI usage into workflow change?