What I do
At Genpact, I work with retail and CPG executives on AI-driven transformation: deciding where AI should change how an operations organization works, building the business case for each change, and running the programs that put the resulting automations into production. At GTMify, the go-to-market platform I co-founded, I build the other half of the problem: outbound, RevOps and AI agent orchestration for founders and revenue teams.
The two roles sit at the same intersection from opposite seats. One is the advisor's view of how large retailers and brands adopt AI; the other is the operator's view of what it takes to run AI systems in production every day. Each makes the other more honest.
How I work
Most go-to-market strategies fail from a lack of system rather than a lack of effort, so I start with the system. I define the operating model and the value it has to produce, then build or direct the build inside your environment: your stack, your data, your team. The principle I apply on every engagement is simple: AI drafts, people direct.
Advisory engagements outside Genpact run through Stravonvale, the firm I co-founded with Josh Carter, as a fractional Chief AI Officer, a GTM transformation advisor, or an expert call. Every engagement ends with a production system your team runs independently, governed and observable.
Three pillars
Everything I work on sits where three disciplines meet. Each is common on its own; the combination is rare.
Go-to-market systems. I engineer unified revenue engines: outbound, RevOps, measurement, content and channel execution wired into one workflow. Integrated systems beat fragmented tactics, however well each tactic is run. This is the primary craft.
AI strategy and agentic builds. Through Genpact and GTMify I design AI operating models and run production LLM pipelines: context-engineered agent systems, multi-step revenue automations, retrieval over enterprise content, and the governance and cost layer underneath. The agentic stack I advise on is the stack I run.
Retail and CPG domain depth. 25 years across retail, consumer goods and retail-adjacent manufacturing. I know how retailers measure, how CPG brands go to market, what breaks at scale, and where AI changes margin as opposed to where it stays a pilot. Domain depth is what turns a smart take into one a Chief Digital Officer can act on Monday morning.
Selected impact
- $100M+ in total measurable client impact across enterprise engagements.
- 40% reduction in CPG time-to-market via an AI-powered orchestration engine.
- $50M in new revenue within 18 months for a Fortune 500 omnichannel GTM transformation.
- 45+ production AI agents across the GTMify platform, orchestrated on Paperclip and Trigger.dev, governed, observable and cost-tuned.
- More detail in selected projects, speaking and the resume.
Recognition
- RETHINK Retail Top Retail Expert, 2025 and 2026
- Top AI in Retail Leader, 2026
Background
BS in Economics from James Madison University, with minors in Political Science and Mathematics. Based in the Greater Philadelphia area.
Four POV streams, one person
I write for four audiences. Retail POV is for retail and CPG leaders (Chief Digital Officers, Chief Data Officers, VPs of Transformation) weighing where AI earns margin. Agentic Retail POV is for retail and CPG boards and C-suites deciding what to fund, govern and stop as AI agents move into the enterprise. GTM POV is for B2B founders and revenue operators building revenue engines. AI & Agentic POV is for technical builders and Heads of AI shipping production agents. Same person, same principles, different audiences.
Contact
The best way to reach me is via LinkedIn. For engagement inquiries, include a sentence on what you're solving and what the deadline looks like.