

Your audience leaves able to:
Find where hours, margin, and their best people's time are leaking
Test an AI idea against business value before funding it
Decide what AI carries, what stays human, and who owns the result
Each company leaves with:
A first priority worth investigating
An estimated dollar range
An owner and a 30-day starting plan
Evidence over convincing stories
The first move, the owner, the one number to watch
Why the cheapest AI decision is the one you don't make
AI activity isn't AI return
The questions that sort an idea from an investment
What to leave alone, and why that's often the right call
Three places to look first for AI leverage in a service business
One point of margin, in dollars, at $5M and $20M
Grow profit, not payroll
Evidence over convincing stories
The first move, the owner, the one number to watch
Why the cheapest AI decision is the one you don’t make
My guest today has spent his career finding things that don't want to be found. As search-and-rescue tracker, it was lost people. For 25 years in U.S. intelligence and cybersecurity, where he founded Mandiant Labs, it was the story the evidence actually supported. Now Greg Jones does that for founders: he finds the few changes that make a service firm run better and earn more, and he knows where AI belongs in them and where it doesn't. Greg, welcome.
Greg Jones spent 25 years in U.S. intelligence and cybersecurity and founded Mandiant Labs. Now he helps founders of service firms find the few changes that make the whole business run better and earn more, and where AI belongs in them. Author of Built With AI. His rule: diagnose before you deploy.
Greg Jones spent 25+ years in U.S. intelligence and cybersecurity and founded Mandiant Labs. For most of that career his job was separating convincing stories from evidence strong enough to act on. Founders come to him busy, profitable on paper, and personally load-bearing. They leave with a plan to add capacity without matching headcount, protect more margin, and reduce the number of decisions that route through the founder. AI is one of the tools; operating leverage is the outcome. His rule is “Diagnose before you deploy.” He is the author of Built With AI: 7 Ways AI Multiplies Time, Money, and Business, and he speaks and advises on where AI pays in founder-led service firms. Before all of it, he was a search-and-rescue tracker and a firefighter/EMT, which is where he learned to find the real problem fast.
Greg Jones has spent his whole career finding things that don’t want to be found. As a search-and-rescue tracker, he read ground sign through the woods to lost hikers. As a firefighter and EMT, he learned to find the real emergency in a room full of noise. For more than 25 years in U.S. intelligence and cybersecurity, where he founded Mandiant Labs, his job was separating convincing stories from the evidence strong enough to act on. One skill, three careers: find the real problem fast, then act on it.
Today he applies that skill to founder-led B2B service firms: consulting, IT and cybersecurity, government contracting, agencies, and professional services. Founders come to him busy, profitable on paper, and personally load-bearing. They leave with a plan to add capacity without matching headcount, protect more margin, and reduce the number of decisions that route through the founder. AI is one of the tools he uses to get there; operating leverage is the outcome. His rule is “Diagnose before you deploy”: find where the hours and margin actually leak, find the one change that creates the most leverage, and decide what AI should carry and what stays with people.
He is the author of Built With AI: 7 Ways AI Multiplies Time, Money, and Business. He speaks and advises on where AI pays in founder-led service firms, and where it does not.
Greg holds a master’s degree in computer science, a black belt, and a finisher’s medal from a 50-mile ultramarathon. He lives in Herndon, Virginia.



