From cloud to cybersecurity, I've consistently chosen technology companies that challenge the status quo and change markets.
AI in the enterprise is the next bet.
The best enterprise sellers don't just solve today's problems. They forecast what a company's ambition requires.
Information is abundant. Clarity isn't.
Customers can research products and competitors themselves. AI can explain technology before a salesperson enters the room.
The bar has been raised, and the value of the seller has changed.
Now simply getting in the room requires connecting ideas and patterns others don't see and bringing a point of view that changes how people think.
My next career bet is an enterprise AI company with the potential to define the next era of technology.
The right company will combine technical credibility with commercial discipline. It will have a clear position about where the market is going and the ability to back it up.
The people matter just as much. I want to work with business-first technologists who are naturally curious about how companies operate — where they're headed, how decisions are made, and where conventional thinking needs to be challenged.
Selling disruptive technology requires creating opportunities, not simply qualifying them.
The best leadership teams give experienced sellers genuine ownership. They have personal conviction about where the market is going, and they're able to meaningfully contribute to both business and technology discussions with customers.
They design territories thoughtfully and enable great salespeople to consistently win.
Those questions tell me what's true about the business. The next ones tell me whether I can change the outcome.
I'm purposeful with resources. Every meeting, technical evaluation, and commercial decision should earn its place by moving the customer and the business forward.
I also believe the way we share content is just as important. Our champions and executives want more than static PDF attachments and generic PowerPoint decks. Creating mobile-friendly, interactive microsites to share ideas and build business cases has become an important lever for getting results.
Technology ultimately becomes part of the story, not the story itself.
The bets paid off.
Enterprise AI has enormous ambition. For most companies, what it lacks is real outcomes.
Billions are being spent on models, infrastructure, and development. Yet only 41% of GenAI prototypes make it into production. Without production, the opportunity to change how work gets done and reshape the operating model is lost. ROI remains a thesis on a slide deck.
Unframe's bet is on the outcome. If it can prove that first, earn the investment, and use that success to unlock the rest of the enterprise, it wins.
Unframe becomes the answer — turning AI ambition into business results.
This means GTM teams must identify the most consequential opportunities across the business first. The business case drives evaluation. Technical alignment follows.
Listen to the microsite