The AI Product Strategy Workshop: From Idea to Funded One-Pager
Shiva Arunachalam
Group PM, Uber Communications Platform
Turn a fuzzy AI idea into a one-page strategy your leadership will fund.
Every company wants AI on the roadmap, and most of what ships is Fake Good — flashy features that demo well, get ignored, and quietly die in the next planning cycle. The PMs who win aren't the ones who add the most AI; they're the ones who find where AI actually creates value and can defend the bet to leadership.
In two live, hands-on sessions you'll learn to tell a real AI opportunity from a shiny distraction, map any feature with the Three-Layer Model, pick the safe-useful level of autonomy, and design the guardrails that protect user trust. Then we build the payoff live: a one-page AI strategy — problem, metric, autonomy, data approach, risks, and scope — that your VP can actually fund.
Bring one real AI bet from your own roadmap. You'll leave with a defensible one-pager for it, the reusable template, and the frameworks to do it again — taught by a Group PM who runs AI communications at Uber at hundreds-of-billions scale.
What you’ll learn
Go from "we should use AI" to a funded, defensible one-page AI strategy you can take to your team and your VP.
Apply the Four Ways AI Creates Value test to any idea
Use the Fake Good vs Boring Killer filter to kill demos that won't ship
Pressure-test your own AI bet live in the session
Use the Three-Layer Model: user workflow → technical solution → business outcome
Tie every feature to a metric leadership already tracks
Work through a real example on a volunteer's idea
Match the job to the tool: LLM vs RAG vs agentic vs multimodal
Know the cost, data, and reliability trade-offs of each
Spot which approach a feature actually needs — and which it doesn't
Place your feature on the Assist → Copilot → Agent ladder
Design the guardrails — oversight, transparency, bias, privacy — that protect trust
Decide what the AI must never do on its own
Fill all six sections: problem, metric, autonomy, data, risks, scope
Build one live from a real AI idea, start to finish
Leave with the reusable One-Pager template
Define what's in and explicitly out of version one
Name the one-way-door risks and how you'll mitigate them
Turn "add AI" into a concrete, defensible plan
Workshop agenda
Where AI actually creates value
The Four Ways AI creates value, and the Fake Good vs Boring Killer filter — spot ideas that will ship vs demos that die in planning.
Title: Map your feature with the Three-Layer Model
Connect a user workflow to a technical solution to a business outcome, so every AI bet ties to a metric leadership already tracks.
Title: Feasibility & the autonomy ladder
Match the job to LLM, RAG, agentic, or multimodal; place it on the Assist → Copilot → Agent ladder; add the guardrails that protect trust.
Title: Pressure-test your own AI bet
Hands-on — bring a real idea from your roadmap and run it through the frameworks with live feedback.
Title: The AI Strategy One-Pager, section by section
Walk all six sections — problem, metric, autonomy, data approach, risks, V1 scope — with real examples (Grammarly, Airbnb).
Title: Build your one-pager live
I build one on screen from a volunteer's idea, then you draft yours with feedback. Leave with a funded-ready one-pager and the template.
Learn directly from Shiva
Shiva Arunachalam
Group PM at Uber — comms platform for 100B+ voice & chat interactions/yr
Who this workshop is for
A Senior PM or Product lead told to "add AI" who wants to pick the right bet — not ship another demo that dies in planning.
An experienced PM or founder who's shipped products but never scoped an AI feature, and wants a real framework — not a ChatGPT tutorial.
A PM who owns (or will soon own) an AI feature and needs a one-pager that gets leadership to fund and defend it.
What's included
Live sessions
Learn directly from Shiva Arunachalam in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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