Berg Atkinson.
27 years solving problems in commercial, international, defense, and intelligence. Now building things for myself.
LinkedIn →Twenty-seven years across commercial, international, defense, and intelligence, environments where you don't get to be wrong twice, taught the things you don't get to learn twice. Reading systems where the cost of wrong is unrecoverable, starting as an Air Force Korean cryptologic linguist, Defense Language Institute trained, then operational intelligence missions. Landing first-of-kind technical bets inside institutions that don't allow rehearsals: the Army's first end-to-end migration from on-premises to AWS classified cloud.
Putting capital on a technology thesis and walking it to receipts: Principal Investigator on multiple corporate IRADs, ~$15M total, every one in partnership with AWS. Aligning five competing aerospace primes behind one technical strategy across $4B of future acquisitions: one of five Chief Engineers on the Air Force ABMS Digital Infrastructure Consortium. Shaping enterprise technology and investment decisions before they ossify: senior advisor to multiple Leidos Sector CTOs across $11B in business. The pattern hasn't changed: hard problems, ambiguous stakeholders, decisions that have to land right the first time.
And he's been on a soapbox for a decade-plus: nobody is using cloud right. Lift-and-shift was never cloud-native. It was someone else's data center with a markup. EC2 pretending to be servers. RDS pretending to be Oracle. Kubernetes clusters running 24/7 to host workloads that get traffic eight hours a day. Most "cloud transformations" were lift-and-shift in better packaging. The math caught up.
Then he stopped talking and built the receipts. A production AI-native operational platform, running in production, built solo in 41 hours. He built the rest of Wolfberg the same way: the legal entity, the platform, the deployment that runs today. One operator, one method, the same method he'd teach yours. Point it at a vertical and a whole business falls out the side: building Wolfberg also produced a complete property-management platform, deployable and sitting on the shelf, not yet run live. Cost basis at scale: a fraction of one percent of what Salesforce or ServiceNow charges for the same workflows. The architecture scales to a million users with four code changes and no re-architecture. There's no secret. It's AWS used the way AWS was designed to be used. Almost nobody does it.
He has a B.S. in Business (Organizational Leadership), Summa Cum Laude, and an M.S. in IT Management, 4.0. He grew up in Norfolk, Virginia, the son of a pioneering oceanographer, around researchers and serious people from the start.
He lives in Alexandria with his wife Maggie, the actual rocket scientist of the family, and their two daughters. He collects antique Japanese swords and good wine, smokes a serious amount of meat, and travels whenever he can. Started a music degree once, viola, at ODU, before the Air Force happened.
Wine nerd. Meat smoker. Girl Dad.
A world where AI gets people promoted, not replaced.
We turn AI from a tool you bought into a teammate you lead.
The same problem, in every room.
Twenty-seven years in and around large systems, and the failure was never the technology. It was that nobody with authority was accountable for what the technology did.
The bigger the system, the truer it got. Brilliant machines, no one in charge, and a record that would not survive a hard question.
Wolfberg is what you build when you decide that is the thing worth fixing, and that the fix has to be provable.
The people who hold the baton
A conductor is a human leader who runs an AI team to the discipline and owns its record. Wolfberg trains conductors, plays the part when asked, and hands the baton back when the work is done.
Kept deliberately small
The model only works if the people running it hold the standard themselves. That does not scale by hiring fast. Wolfberg stays small so the discipline stays real.