I turn frontier AI capability into trusted enterprise adoption and revenue: building buyer confidence, scaling field teams, shaping build/buy/acquire judgment, and shipping the operating systems that make adoption repeatable.
My pattern is consistent: get close to customer reality, find the AI adoption bottleneck, build the motion, then scale the people and systems behind it.
I lead at enterprise altitude, but I still build close to the metal: agentic systems, field workflows, native apps, marketing engines, and public products.
Practical AI starts with a real adoption bottleneck: demo prep, customer relevance, executive memory, content operations, native workflow, or product launch.
I model the workflow, ship or sponsor the system, then scale the behavior around it.
This is not a product catalog. It is evidence of range: agentic systems, native apps, content engines, consumer UX, and field tooling.
Most examples are private working systems built for my own operating model, family businesses, or small trusted groups.
Public / shareable: AI Chief of Staff / Claudia, Stadium Stars, and Bizword Bingo.
Built the operating backbone for a 65-person SE org: capacity planning, customer audits, solution reviews, enablement, and leader-level inspection rhythm.
Capacity · audits · solution reviews · enablementIdentified the Saleo bottleneck, sponsored the pilot, and scaled live personalization into a global standard demo motion for SEs.
Global Standard Demo · Saleo · 92% prep reductionRecommended Contentful as a strategic content layer and personally onboarded MeshMesh for a global AI demo pilot, turning field signal into build/buy/acquire recommendations.
Contentful recommendation · MeshMesh pilot · build / buy / acquireAI Chief of Staff / Claudia turns briefs, meetings, memory, and commitments into an executive operating system; proves agents can run real leadership work and be taught to peers.
SergerOS turns personal finance and planning data into an AI operating model; proves messy real-world data can become decision infrastructure.
SmoochSage uses a multi-agent expert panel to pressure-test business questions; proves orchestration, debate, and synthesis under uncertainty.
eNewsEngine runs AI-assisted source intake, content selection, editing, and publishing flow; proves repeatable content operations.
BrandEngine creates a reusable brand-intelligence layer for agents; proves governed voice, research, and content systems can scale across brands.
Predictabase is an iPad-first live-performance app; proves native product depth, offline-first workflow design, and shared data models.
oType is a local macOS dictation and revision app; proves privacy-first AI workflow design with native distribution discipline.
Stadium Stars is a public baseball passport and trip-planning product; proves consumer UX, data modeling, auth, launch, and monetization thinking.
Bizword Bingo is a public on-device speech game; proves real-time AI interaction can be useful, private, and simple enough to share.
Lead a 65-person, three-layer solution engineering org across Marketing, Commerce, and Revenue Clouds, supporting $1B in AOV while helping Salesforce scale AI tooling, education, and adoption across the field.
Ran technical solutioning at Bluecore, the retail personalization and predictive-marketing platform.
Moved from player-coach manager to national solution engineering leader.
Entered through the ExactTarget acquisition after years as a customer and partner-side operator, then rose to the top of the IC ladder.
Built the ExactTarget partner practice before joining Salesforce.
Clarity of intent. Respect for terrain. Credit to the team.
The values behind my operating model are simple: trust people with the mission, find the ravines before scale, and make the win bigger than the person leading it.
Set the mission, context, and constraints. Then give strong people the room and confidence to find a better path than the one I would have drawn.
Treat strategy as a hypothesis until it survives customers, data, field capacity, and the operational details that decide whether adoption actually happens.
Make ownership visible, push credit to the people closest to the work, and build the leadership bench so the system gets stronger without me in every room.