Snowball Sprint

From idea to a working AI application your customers actually want to buy.
In weeks, not months.

For leaders who are ready to build AI that their customers want to buy.

If your organization:

  • Wants a validated application before spending millions

  • Needs to escape POC purgatory and prove real business impact

  • Requires clear ROI, data readiness, and prediction risk modeling

  • Is ready to move with urgency

If your team is hearing "Show me AI works" — Snowball Sprint is the answer.

How it Works

The Sprint includes the 3-Day AI Strategy Workshop → plus 2-12 weeks of rapid iteration—rolling 1-2 of your top initiatives forward from validated strategy to customer-tested working application.

Week 1 — Workshop: Ideate + Frame

We align on strategy, select the highest-value use case, validate data readiness, and create your AI roadmap.
(Details on Workshop page →)

Week 2+ — Iterate + Scale

Create the initial AI-driven RAG-enabled application in Python.

Across 6-8 customer sessions per week, we:

  • Test the application with your customers

  • Identify what works, what fails, and what's missing

  • Rapidly iterate and improve the code

  • Validate data flows, prompts, agent logic, and UI

  • Document "When can I buy this?" signals

We iterate as needed — pivoting quickly when something isn't working. We add proof, functionality, features, and momentum. The snowball grows as it rolls down the hill.

By the end, you have a proven working application, a clear go/no go decision, and a roadmap grounded in customer evidence — not hope.

What You’ll Get

“I want to buy this. How much is it?” enthusiasm from your customers.

Typical deliverables:

  • Everything you get from the AI Strategy Workshop PLUS:

  • Fully functional AI application in Python using your real data

  • Clear go/no go recommendation

  • Complete source code, documentation, and agent architecture diagrams

  • 2–6 pivot cycles (Build → Test → Iterate)

  • 12–48 total customer interviews (6–8 customer validation sessions for each cycle)

  • Executive-ready "What We Learned" summary with strategic next steps

  • 60 days of async support

Everything is designed to prevent the 85% AI failure rate by actively iterating on the initial design until we create the AI solution your customers want to buy.

Investment

$95,000 - $450,000

Timeline: 3-12 weeks

Depending on scope, number of applications, and how much your internal team gets involved in building, designing, and user-testing.

Training Add-On (Highly Recommended)

While we're running the Sprint, it makes sense to train your team — so you're not dependent on me for every future initiative.

My model is knowledge transfer, not dependency.

I've published 6 books. I'm writing my 7th — a complete guide to Snowball Sprint. I want your team to learn this methodology. Unlike the Big 4, I'm not trying to embed forever. I'm trying to make you self-sufficient.

That's why Sprints include hands-on training at little or no additional cost. Your team learns by doing — and when we're done, you own the capability.

Long-term strategic partnership →

"Greg doesn't just talk about innovation—he gets his hands dirty to make it happen. He shepherded the first production-ready POC with multiple agents and laid the foundation for Sumo's AI direction. If you get the chance to work with Greg, take it."

— Brandon Borodach
Field CTO, Abstract Security

"Greg can transform a simple idea into a state-of-the-art experience. Greg's laser focus on users and letting them decide good from bad differentiates him... His in-depth understanding of technology stacks positions him into the most needed leadership space between designers and developers."

— Tejaswi Redkar
CEO & Founder (former Cisco, AppDynamics, Sumo)

"Greg consistently pushes boundaries—not just in design, but in validating AI product-market fit directly with customers to ensure every feature solved a real-world problem. I'd work with him again in a heartbeat."

— Catherine Davis
VP Product Management, Addigy

"Greg consistently works to advance practical, customer-focused solutions. His work on RAG file creation significantly improved the quality of multi-agent responses, making our AI-powered tools more reliable and useful for end users."

— Steve Berube
Technology Leader, Sumo Logic

Let’s Talk

In 30 minutes, we’ll talk through your AI challenges and see whether Snowball Sprint is the right fit. No pitch — just an honest conversation.

Book a Call