Berg Atkinson.

I built a production AI-native operational platform in 41 hours for $40 in API costs. I built the whole company the same way — the entity, the platform, the live deployment, the operating model itself — solo, using the same AI ops/brain process I'd teach your team. I run my company on it. The methodology I'd teach your team is the methodology that produced it. The platform I'd license to your operations is the platform mine runs on. The curriculum we sell is the curriculum we use for our own onboarding. That's not marketing — it's structural truth. Wolfberg LLC is an AI operating-model company, and the company I run is the proof.

Berg founded Wolfberg LLC in 2026 after 27 years in commercial, international, defense, and intelligence work. On AWS since 2014. He retired from Leidos in May 2026 to do this full-time. The 27 years are the substrate Wolfberg's operating model grew from — the pattern-recognition that produced the model, before the AI infrastructure that runs it.

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, for $40 in API costs. He built the rest of Wolfberg the same way: the legal entity, the platform, the deployment that runs today, the operating model itself. 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, ready-to-operate property-management business, sitting on the shelf. Cost basis at scale: a fraction of one percent of what Salesforce or ServiceNow charges for the same workflows. 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.