Most companies are investing in AI.
Grounded helps companies find where AI is worth investing, build the operating model to make it work, and ship products which generate real value. Stuff you'll actually use -- without the hype and without the powerpoint slides.
Founded by operators
Alyssa Simpson Rochwerger
Founder, CEO
Built and scaled AI products from scratch to production across IBM Watson, Figure Eight, and Blue Shield of California, including a 120-person AI org that delivered $35M in savings in four weeks. She's been on the inside of organizations where AI worked and where it didn't, which is exactly why she started Grounded Work.
Ben Kearns
Founder, CTO
Serial CTO / VP of Engineering with 20+ years building 0->1 systems across energy, robotics, and life sciences. Employee #1 at Stem, creating the first behind-the-meter energy storage bids into CAISO. Architected digital backbone at Resilience ("AWS of Biomanufacturing"). Inventor on 15+ patents. Operator across hardware, software, and real-world systems.
Keith Vertrees
Founder, COO
Built and led product and engineering teams across IBM, DraftKings, Shift Technologies, and Pricefx, including turning an underused AI capability into 125 deployed agents and 26 enterprise deals in four months. He knows what it takes to move AI from strategy into shipping systems, which is why clients bring him in when the work needs to get real fast.
Where we've operated
IBM
Appen
Particle Health
Blue Shield of California
Stem
Resilience
Shift Technologies
DraftKings
DataStax
Verizon Business
FreshDirect
The Estée Lauder Companies
IBM
Appen
Particle Health
Blue Shield of California
Stem
Resilience
Shift Technologies
DraftKings
DataStax
Verizon Business
FreshDirect
The Estée Lauder Companies
A structured operating model for AI work
The AI-First Enterprise Framework
Most AI initiatives stall because teams jump from ideas to tools without a shared operating model. The AI-First Enterprise Framework connects strategy, delivery, and commercialization as one system.
Each pillar reinforces the others. You get clearer priorities, cleaner execution, and a more credible path from internal adoption to customer-facing AI offers.
AI Strategy & Vision
Clarify where AI should create value, what to test first, and how to sequence investment around real business outcomes.
AI Product & Engineering
Design the specs, workflows, and customer-facing AI experiences that turn good ideas into shipped product.
AI Operations & Scale
Operationalize adoption, embedded execution, and the feedback loops that make AI work repeatable over time.
“Your quick impact and ability to constructively challenge our thinking has been invaluable.”
Senior Executive
Product & Engineering Leadership | Enterprise B2B SaaS