Enterprise AI Commercialization
Turning responsible AI, applied AI, and research intelligence offers into business cases, pilots, buyer narratives, and repeatable revenue motions.
Greater Boston / East Coast
Enterprise AI GTM leader for companies selling complex, high-trust AI solutions.
I help AI, data, research intelligence, and advisory-led companies turn complex capabilities into executive-ready narratives, repeatable pipeline, and measurable revenue.
Positioning
My lane is where technical complexity, enterprise trust, and revenue execution meet.
I help organizations move from promising AI capability to a commercial motion that senior buyers can understand, trust, fund, and scale.
Best-fit roles
VP / Head of GTMCommercial Director, Enterprise AIFounding Sales / GTM LeaderStrategic Partnerships LeaderEnterprise Revenue Leader for AI, Data, or Research Platforms
Credibility pillars
Commercial leadership for complex, high-trust markets.
The through-line is translating sophisticated capabilities into executive clarity, commercial discipline, and durable revenue.
GTM Strategy
Building ICP, segmentation, ABM, outbound, qualification, demo strategy, pipeline discipline, and revenue planning for high-consideration markets.
Strategic Partnerships
Creating executive relationships and partnership channels that open new verticals, sharpen market positioning, and accelerate enterprise trust.
Executive Revenue Leadership
Leading complex commercial cycles with senior buyers across SaaS, data platforms, advisory, capital markets, and enterprise technology.
Why I’m different
A commercial leader for technical markets where trust determines velocity.
I understand enterprise buyers. I have sold into senior executives across technology, financial services, advisory, and research-driven markets.
I can translate technical offerings. I turn AI, data, and research capabilities into clear business cases and revenue narratives.
I build early GTM motion. I can define ICP, sharpen messaging, build pipeline, create pilots, and drive executive conversations.
I bring credibility in high-trust markets. My background spans institutional finance, Gartner, research intelligence, Responsible AI, and applied AI commercialization.
Selected proof
Built growth motions across applied AI, research intelligence, SaaS, advisory, and capital markets.
Scaled a B2B AI commercialization motion from less than $1M to $10M+ in enterprise AI revenue opportunities.
Commercialized AI-enabled expert intelligence and research offerings from $0 to $1.7M in 9 months.
Opened five new verticals through ICP definition, buyer persona modeling, account segmentation, and GTM collateral.
Closed a $5.5M multi-year enterprise agreement and exceeded annual quota for four straight years at Gartner.
Advised senior leaders on AI strategy, governance, deployment roadmaps, custom education, and business case development.
Led institutional equity sales for 13 major accounts representing more than $5T in assets under management.
Short case examples
From AI interest to commercial traction.
Examples drawn from enterprise AI commercialization, strategic partnerships, and research intelligence revenue leadership.
Northeastern University Institute for Experiential AI
Built a Responsible AI commercialization motion
Built and scaled a B2B commercialization motion across Responsible AI, applied AI solutions, custom learning, governance advisory, and AI literacy. Helped grow enterprise AI revenue opportunities from less than $1M to $10M+ over two years.
NewtonX
Commercialized AI-enabled research intelligence
Commercialized AI-enabled expert intelligence into large enterprise financial services accounts. Grew revenue from $0 to $1.7M in 9 months and opened five new verticals through ICP definition, segmentation, and buyer modeling.
Gartner
Led strategic enterprise technology revenue
Managed strategic enterprise technology accounts across cloud, communications, and digital infrastructure. Achieved 110%+ of quota for four consecutive years and closed a $5.5M multi-year enterprise agreement.
Point of view
Three executive principles for enterprise AI commercialization.
Enterprise AI GTM is not normal SaaS GTM.
Buyers are not just evaluating features; they are evaluating trust, governance, workflow impact, and organizational readiness.
Responsible AI can be a revenue advantage.
In complex enterprise sales, governance is not just risk management; it is often what allows the buyer to move forward.
Pilots need a path to production.
The best AI pilots start with a measurable business outcome, an adoption owner, and a clear scale path.
Next step
Available for senior GTM, enterprise AI commercialization, revenue leadership, and strategic partnership conversations.
Enterprise AI Commercialization | Go-To-Market & Revenue Leadership | Strategic Partnerships