20+ years leading marketing, sales, and revenue operations, now designing and running the agentic AI infrastructure behind ABM, demand generation, and marketing for a global Fortune-500 semiconductor company, as the marketing organization's top contributor of AI use cases, responsible for about half of all it has submitted.
Each one is a working system, not a slide. Enterprise badges follow the company’s AI approval path: proof of concept, then MVP, then production. Full walkthroughs available on request.
Converts named-account inputs into coordinated research and personalized outreach assets. The system behind a measured ~90% cut in campaign time-to-launch for a full campaign category. Approved by the AI council for enterprise use and now evolving into an AI SDR.
The next step beyond ABM Account Research & Messaging: a 6-agent workflow that researches target accounts and drafts personalized, account-specific outreach for the team to review and send. Approved by the AI council for enterprise use, now in the proof-of-concept phase on the way to production.
An agentic system that turns sparse, unmarketable contacts into governed, routable records ready for ABM. Taken from my prototype to an executive green-light and enterprise approval by the AI council, then rebuilt code-first for model control, cost, and traceability. Now moving through the MVP gate toward production.
Converts anonymous web visitors into named accounts, scored buying groups, and sales-ready signals, closing the gap between traffic and pipeline.
A governed pathway that closes the gap between a working AI prototype and enterprise deployment: security audit, IT handoff documentation, porting kit, and approval gates.
Detects competitor momentum at target accounts using hiring and public signals: early warning for account teams months before revenue impact shows up.
Top contributor of AI use cases for the marketing organization (about half of all submitted): enterprise-approved AI use case library, end-to-end pilot development, reusable skill and prompt libraries, weekly AI Lab for cross-functional upskilling, and primary AI liaison to IT.
Built an AI-driven lead-gen and cold-email system that generated $500K in 60 days, achieved 70% open rates at scale, and cut list-building costs 50% with in-house enrichment infrastructure.
Increased sales-qualified leads 400–950% through omni-channel campaigns, attribution modeling, and marketing automation and CRM implementations.
One of four executive team members. Co-built seven departments from the ground up, grew marketing-attributed revenue 250%, launched an e-commerce platform managing 500,000 SKUs, and drove a 450% lift in organic traffic.
One-off AI wins don't compound. I build skill libraries, SOPs, and templates that make the second deployment 10x cheaper than the first.
Human-in-the-loop, evaluation gates, and security review are designed in from day one, because enterprise AI that can't pass IT review doesn't ship.
Tools don't change outcomes; teams do. Weekly labs, enablement materials, and upskilling programs turn AI capability into everyday behavior.
Every system ships with a success metric: time-to-launch, pipeline velocity, cost per record, engagement lift. No vanity deployments.
Want to compare notes on GTM AI, or see the full work history? Send a note. I typically reply within a day.
Direct contact details are shared through the form to keep the scrapers away.