I Solve The Hardest Problem In AI:

Building Products Customers Actually Want to Buy

Every AI company has brilliant ML engineers who can train models.

I turn them into products customers actually buy.

$500M+ ROI Since 2009 | 34 AI/ML Products Shipped | 24 Patents Filed

I created the Snowball Design Sprint methodology after delivering AI products for Cisco, GE, and award-winning companies since 2009—13 years before ChatGPT made AI mainstream.

With $500M in proven ROI across 34 projects, 24 patents, and 128 workshops delivered in 18 countries, I help Fortune 500 product teams accelerate AI development using battle-tested frameworks from my Wiley book UX for AI and LinkedIn Learning course.

This isn't theory. This is 16 years of shipping AI products that generate revenue.

Trusted by:

85% of AI Projects Fail. Here's Why:

❌ Teams validate static Figma mockups—missing the AI and data entirely — You can't test an AI product without AI. Yet teams spend months perfecting wireframes before ever connecting real models or real data.

❌ Traditional 3-in-a-box handoffs don't work for AI — Product writes specs. Engineering builds. Design polishes. By the time anyone talks to customers, you've spent millions on the wrong thing.

❌ Teams validate too late — Building for 6-18 months before testing with customers. Then discovering the AI doesn't work, the data isn't ready, or customers don't want it.

❌ Over-engineering kills momentum — Six-month ML research projects optimizing for scale never materializes, and accuracy that is not just unnecessary, but is actively harmful to customer success! Perfection prevents shipping.

❌ No one knows how to define "done" — Is it 95% model accuracy? Customer adoption? Revenue? Without weighing real-world outcomes and creating ROI clarity up-front, teams build forever and ship never.

The cost: $2M-$10M in wasted engineering. 18 months of runway burned. Products that never see customers.

I use my Snowball Design Sprint Framework to build working POCs in weeks that prove customer demand before you commit millions—then I teach your team how to do it themselves.

How I Help

📋 AI Product Prioritization Workshop (2 Days)

Not ready for a sprint? Start here.

Brainstorm AI opportunities, prioritize use cases, create a roadmap. Train your team on Snowball problem framing principles. (NOTE: this is NOT the full Snowball methodology — that requires 2 weeks with customer testing).

What You Get: 
✅ Problem framing exercise methodology for 2-3 use cases
✅ Prioritized AI product roadmap
✅ Data readiness assessment for your top 2-3 ideas
✅ Team training on Snowball problem framing principles
✅ Clear recommendation on which use case to sprint first

Investment: $65,000

Best For: Organizations exploring AI who need internal alignment before committing to a sprint.

Natural next step: Book a 2-week Snowball Design Sprint to validate your top idea.

⚡ Snowball Design Sprint: 2-Week AI Product Accelerator (MOST POPULAR)

This is my flagship offering — my proprietary methodology refined through 16 years of application and 40+ workshops across 18 countries. I work directly with your team (Product, Engineering, Data Science, UX) to build an AI-driven RAG-enabled Agentic POC with a functional UI and proving "when can I buy this" customer interest in just 2 weeks, not months of discussion.

How it works:

  1. Week 0 (pre-work): I interview your stakeholders and conduct the AI-readiness assessment to understand your bespoke data and customer challenges for your top 2-3 use cases.

  2. Week 1: In a 2-day intensive workshop, we use my proprietary problem-framing exercises to select the best use case, compute the ROI, design the screen flow, and create a simple POC using your bespoke data. The rest of the week, we code the initial prototype together with your team.

  3. Week 2: We test the prototype with 6-8 real customers and iterate rapidly.

Your team stays engaged throughout via daily standups, office hours, and live customer calls (recordings available).

What’s Included: 

Everything under the AI Product Prioritization Workshop, PLUS:

✅ Complete team training to run future sprints independently
✅ Framework learned through doing, not just training
✅ 2-3 complete Build → Test → Iterate cycles
✅ Validated POC tested with 6-8 real customers
✅ Clear go/no-go decision based on customer feedback
✅ 90-day async implementation support
✅ 25 UX for AI Books (Wiley, 2025)
✅ LinkedIn Learning Premium Course access

Investment: $95,000

Best For: Teams validating an AI idea before committing millions to engineering.

🚀 Multi-Sprint Production-Ready Intensive

Everything in the 2-Week Sprint, plus:

✅ Multiple iteration cycles (production-readiness)
✅ Executive stakeholder presentation (board-ready)
✅ Detailed strategic roadmap
✅ White-glove support to ensure team success on future sprints

Investment: $150,000 - $450,000

Best For: Organizations moving multiple validated POC into production.

📊 AI Strategy Retainer (Monthly Advisory)

For executives managing multiple AI initiatives who need ongoing strategic guidance.

Monthly Strategic Advisory: 2-4 hours of scheduled time + async Slack/email access

You Get:
✅ AI roadmap planning and portfolio prioritization
✅ Help deciding which projects to fund, kill, or pivot
✅ Technical architecture reviews before major investment commitments
✅ Board presentation support and business case development
✅ Crisis support when AI projects go sideways

Investment: $25,000/month (6-month minimum: $150K)

Best For: VPs of Product, CTOs, Chief AI Officers managing enterprise-wide AI adoption and transformation.