Building enterprise AI that ships and earns trust.
I build enterprise AI products that ship — agentic platforms and decision systems that teams actually trust in production.
StockSnap
A working AI app I built end to end — snap a photo of a handwritten vendor note and AI reads it, then updates a store's inventory.
Products I've helped build
Live products in healthcare and BFSI — each shipping AI into regulated, high-stakes enterprise workflows.
mCheck NetworkIQ
AI-driven network adequacy and analytics for healthcare payors — monitor coverage across markets, surface network gaps, and stay ahead of compliance.
Read the story →Growth Intelligence Platform
An agentic AI platform that helps enterprises identify growth opportunities and act on them — orchestrating data, models, and agents into go-to-market intelligence.
Read the story →Conversion Intelligence Platform
An agentic AI platform focused on lifting conversion — using agents and decisioning to turn intent and signals into completed customer journeys.
Read the story →Productivity Platform
An agentic AI platform that automates multi-step enterprise work — reusable, production-grade agents running across CRM, ML models, vector stores, and GenAI services.
Read the story →Content & Decision Intelligence
An agentic AI platform that brings content understanding and decision intelligence together — orchestrating predictive models, policy rules, and data into real-time decisions.
Read the story →I don't just spec AI. I build it.
StockSnap is a working app I built end to end: snap a photo of a handwritten vendor note, and AI reads it and updates a store's inventory.
- 1Snap the notePhotograph a handwritten vendor delivery note.
- 2AI reads itA vision model extracts items and flags what it's unsure of.
- 3Confirm & updateReview, fix anything off, and inventory updates instantly.
Latest thinking
Is it production-ready? The four metrics that decide whether your AI agent ships
Most enterprise GenAI pilots don't die because the model is weak. They die because nobody can prove the agent is good enough to trust. Here is the evaluation layer that turns 'it feels good' into 'it's ready'.
Human-in-the-loop is a product decision, not a safety checkbox
Teams bolt a human onto AI to feel safe, then wonder why nothing gets faster. Where the human sits is one of the most important product calls you'll make — here's how to make it deliberately.
Build, buy, or orchestrate: a PM's framework for enterprise AI agents
The old build-vs-buy question has a third answer now, and it's usually the right one. A practical framework for deciding what to build, what to buy, and what to simply orchestrate.
Let's build something.
Hiring an AI-forward PM, or want to compare notes on shipping enterprise AI? I'd love to hear from you.