Most AI companies lose in the last mile — not because the product failed, but because the commercial motion was never built. I have been in enough of these rooms to know the pattern. And I know how to change it.
What I am focused on now ↓
I spent 60 days running a live AI SDR experiment — 5,000+ Fortune 500 executives, 13,000+ messages, 480+ connections built. The data showed one thing clearly: perfect ICP fit does not create urgency. Situational signals do. I am building the five-layer architecture that changes how AI companies find and close enterprise deals.
86% of enterprise AI pilots never reach production. Not because the technology failed. Because nobody owned the motion between "pilot approved" and "contract signed." I work directly inside that gap — in the accounts, mapping the real decision tree, building the relationships one level above the champion.
I have been in the rooms where these decisions get made across Wall Street, telecom, banking, and enterprise software. The patterns that kill AI deals today are the same ones that killed enterprise deals twenty years ago. I read them early. I move fast. I build while figuring it out.
OpenAI just launched a $4B company around embedding engineers inside enterprise customers. Anthropic and Google followed. I called this model six months ago. The insight: AI adoption is a human problem, not a technology problem. The operator who lives inside the account wins.
A pilot succeeds. The technical champion is thrilled. The evaluation committee signs off. And then — nothing. Thirty, sixty, ninety days go by. The post-mortem says "they weren't ready to move forward."
That is almost never what happened.
What happened is the champion got promoted. The budget moved. The new VP has a different set of priorities. Nobody had built the relationships one level above the champion, or understood where the real budget lived, or mapped the political landscape that controls every enterprise purchase.
I am a storyteller who has closed complex deals at the highest levels of enterprise technology. I translate what AI can do into language that makes a CFO say yes, a legal team stand down, and a procurement officer stop asking for references. That is a specific skill. Not everyone has it.
60 days. 5,000+ Fortune 500 executives reached. Perfect demographic fit did not create urgency. Situational signals beat static targeting every single time. The architecture every GTM team needs to rebuild.
Read on LinkedIn → May 2026 · Enterprise GovernanceUber burned its entire 2026 AI coding budget in four months. Not a technology failure. A measurement failure. They tracked consumption, not output. Most enterprise AI teams are making the same mistake right now.
Read on LinkedIn → May 2026 · The Human CostCognizant. TCS. Infosys. 52-week lows, mass layoffs, business models under structural pressure. What this means for the engineers inside — and the uncomfortable question nobody wants to answer.
112,467 impressions → May 2026 · Market SignalI called it six months ago when Palantir was the only proof point. This week OpenAI, Anthropic, and Google confirmed it with billions. When the smartest operators in the market copy the same model — that is a signal.
Read on LinkedIn → May 2026 · Operator LensWhen the infrastructure layer commoditizes, value moves to whoever is closest to the customer's actual decision. AI models are becoming infrastructure. The moat is now the implementation layer.
Read on LinkedIn → August 2025 · Vendor StrategyA big cloud deal looks like strategic alignment. It is actually a slow transfer of pricing power. The enterprises that maintain leverage do three things differently at the time of signing.
Read on LinkedIn →AI-native cybersecurity, the enterprise threat model most companies have not built yet, and why the security stack of the last era fails in this one.
Watch on YouTube ↗ Episode · Enterprise GTMThe five layers that separate AI companies with real enterprise traction from the ones still running pilots that close in PowerPoint and die in procurement.
Watch on YouTube ↗ Episode · Market IntelligenceThe structural shift underneath the headlines. What 112,000 combined impressions on two LinkedIn posts told me about what enterprise operators are actually thinking.
Watch on YouTube ↗
If you are building interesting technology and need customer traction and revenue ramp — reach out directly.
I work with a small number of companies at a time. Operator-level engagement. In the room, in the accounts, building the motion.
