Services
AI Product Strategy From Someone Who Has Shipped It, Not Slide-Decked It
Most AI product advice comes from people who have never carried an AI product through enterprise review gates, model validation, and a revenue target. SproutVest brings hands-on experience turning models into products and products into revenue.
30-min call · No commitment · Or send a brief →
What we do
AI product strategy and roadmapping. ML model evaluation and selection. MLOps and deployment architecture. AI ethics and responsible development. Engagements run from a 6 to 8 week strategy sprint (commercial narrative, ICP definition, GTM hypothesis, pricing model) to embedded fractional product leadership over 3 to 12 months.
The record
At Google, this work meant integrating Google Bard into the Advertiser CRM so sales teams got trend predictions inside their workflow, and building ML forecasts that turned contested revenue projections into approved business cases: $1.33B+ in annualized incremental revenue across the portfolio. At Quantarium, it meant building the top-ranked AI valuation platform covering 105M U.S. households and generating $12M+ in AWS Marketplace sales. At Microsoft, it meant CodaLab, the AI/ML research platform that has hosted 300+ competitions.
Where AI products actually fail
Rarely on the model. They fail on ICP discipline, on enterprise trust and review gates, on pricing that ignores inference costs, and on founders scaling past their own operating structure. Which is why the engagement toolkit includes the commercial instruments: the four-box segmentation, falsifiable GTM hypotheses, and, where the bottleneck is the founder, the Trellis Leadership Diagnostic.
Frequently asked questions
Do you build models or advise on them?
We are a product organization, not an ML contractor. We evaluate and select models, design the product and deployment architecture around them, and lead the teams who build. For pure model-building we will say so and help you scope the hire.
Do you work with companies adopting AI, or only AI-native startups?
Primarily AI-native and data platform companies, plus enterprises modernizing a product line around AI, as at Google and Elevance Health.
How do engagements start?
A 30-minute discovery call, then usually a 6 to 8 week sprint before any longer commitment.
What does it cost?
Sprints and retainers are scoped per engagement on the discovery call. The coaching front door, the Trellis Leadership Diagnostic, has published pricing at $2,500.
Ready to turn the model into revenue?
Bring the product and the sticking point; the discovery call will tell you whether a sprint or an embedded engagement fits.
Is the bottleneck the product or the founder? Two minutes to find out →