AI Product Workshop — Stop Burning Quarters on the Wrong AI Bet
ProductWorkshop.ai — We help enterprise leadership teams align, decide, and leave with an AI-first roadmap. From agentic architecture to production-ready priorities. Led by ex-Meta and ex-Apple product leaders.
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Proven Results
- 48 hours to clarity — AI-first blueprint delivered within 2 days of final session
- $500K+ waste avoided — Unvetted AI projects burn this fast; we prevent the wrong bet
- 1 validated direction — Agentic architecture + product rigor, decision-locked
- 100% team alignment — Engineering, product, and leadership leave with shared conviction
The Problem We Solve
87% of AI projects never reach production. The root causes: bad problem selection, data that isn't ready, poor architecture design, and people/process misfit. We compress months of strategic drift into weeks of validated clarity.
How It Works — 6 Sessions Over 1–2 Weeks
Unlike one-day intensives, we run a private deep engagement: 6 focused sessions spread over 1–2 weeks. This gives leadership teams time to process, reflect, and bring sharper thinking to each decision point.
- WHY — Strategy & Constraints: Why does this exist? Why now? What hard constraints could kill it? → Strategy statement + constraints locked
- WHO — Target Segment: Who has the most urgent pain? Score and rank segments. Name your first 3 customers. → Ranked segment decision + named prospects
- WHAT — Jobs, Needs & Prioritization: What job are they hiring you for? Score capabilities against impact, risk, complexity. → Prioritized capabilities + kill list
- WHERE — Positioning & Validation: Where do you position? Does it survive stress-testing? What moat do you build? → Positioning locked + critical checks passed
- HOW — Interaction Model & AI Architecture: Agentic vs. copilot vs. autonomous — decide the right AI interaction model. → Architecture direction + delegation policy
- MEASURE — Metrics & 90-Day Plan: North Star metric, counter-metrics, 90-day action plan with owners and kill conditions. → Execution-ready roadmap
What You Get: The AI Product Blueprint
Within 48 hours of the final session, we deliver a 10+ page decision-locked executive document:
- Ranked segment decision with scoring rationale
- Feature priority stack scored against revenue impact, technical risk, differentiation, and build complexity
- AI-first architecture direction (agentic vs. copilot vs. autonomous, with delegation boundaries)
- North Star metric + counter-metrics
- 90-day action plan with owners, milestones, and kill conditions
- Risk mitigation plan
- Financial model and success metrics framework
Pricing — Flat $20K
The Executive AI Accelerator — $20K flat fee. Private deep engagement: Deep Audit + 6 sessions over 1–2 weeks + Executive Blueprint delivered within 48 hours. No retainers, no hourly billing. Transparent scoping on the strategy call.
Case Study: Lovable — AI Strategy Workshop in Stockholm
We facilitated an AI Product Workshop with Lovable, the AI-powered software development platform, at their headquarters in Stockholm, Sweden. Lovable had recently raised significant funding and was scaling rapidly — but faced too many promising AI directions and not enough clarity on which bets to make first.
The Challenge
- Multiple competing priorities across AI code generation, developer UX, and platform reliability
- Engineering and product teams had different mental models of what "AI-native" meant for the roadmap
- Go-to-market positioning needed to evolve as the competitive landscape shifted weekly
- Key architecture decisions were blocking feature velocity
Key Outcomes
- 3 stalled decisions resolved — Architecture, model strategy, and feature prioritization locked in 2 weeks
- 2 low-ROI initiatives killed early — Saved ~4 engineering months by cutting features that wouldn't move the needle
- Full team alignment achieved — Engineering, product, and leadership left with shared conviction
- 90-day action plan delivered — Owner assignments, dependency mapping, and measurable milestones
"Our Launch Accelerator startups loved the workshop!" — Maddie Naumann, Lovable
Case Study: Series B SaaS — Avoided a $500K Mistake
A Series B SaaS company had 4 competing AI directions, skeptical engineering, 6-month timeline creep, and $500K at risk. During the workshop, the team's assumed priority failed a competitive pressure test — they'd been about to spend six months building into a crowded space. By end of engagement they had a new P0 with a clear market gap, regulatory tailwind, and full engineering alignment.
Result: Shipped AI-powered document analysis to 20+ enterprise customers in 11 weeks. 23% increase in enterprise conversion.
What Clients Say
- "Seriously one of the best workshops I've ever attended!" — Tommi Järvinen, Advisor
- "5/5. Left with 1 clear roadmap the whole team agreed on." — Lauri Tuohimaa, Founder & Entrepreneur
- "In 2 hours, we validated 3 features we'd been debating for weeks." — Tero Lahtinen, CEO & Founder
- "10/10! Avoided 2 costly technical mistakes." — Mikko Petäjistö, Executive Consultant
- "Turned 6 months of scattered ideas into a 90-day plan." — Kirsi Ekberg, Founder & Product Developer
Who Should Attend
- CTOs & Engineering Leaders — Validate AI architecture before committing resources
- VPs of Product — Align stakeholders on AI priorities and ship with conviction
- Series A–C Founders — Decide build vs. buy, pick the right model, get to market fast
- Enterprise teams with stalled AI projects — Get unstuck and ship
About the Team
Anand Arivukkarasu — Core Designer & Lead Facilitator. Former product leader at Meta who drove growth for Instagram and Messenger. Alumnus of Northwestern Kellogg. LinkedIn
Carmen Newell — Strategic Advisor. Veteran Product Director who led global ecosystems at Apple, Amazon (Alexa), and Yahoo!. MBA from UC Berkeley Haas. LinkedIn
Frequently Asked Questions
- What do we actually leave with?
- A 10+ page executive blueprint: ICP clarity, prioritized MVP, reliability and feasibility gates, and a 90-day roadmap.
- How long is the engagement?
- 6 sessions over 1–2 weeks. This private deep engagement format gives teams time to process and bring sharper thinking to each decision.
- Who should attend?
- 5–8 people: the Decider (CEO/CPO), product lead, tech lead, and 2–3 operators who understand the real workflows.
- Do you actually build anything?
- No. We help you decide what's worth building, why, and in what order — so your engineering team moves faster with less risk.
- What does it cost?
- Flat $20K for the Executive AI Accelerator. Transparent scoping on the strategy call.
- Is there an NDA?
- NDA by default. We treat every engagement as confidential from day one.
- What's the typical ROI?
- Teams typically save 3–6 months of engineering time by avoiding wrong turns. The blueprint pays for itself by preventing one bad bet.
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