July 10, 2026 · 15 min read
The federal government put the most capable commercial AI models inside its agencies last year at about a dollar a seat. That price is the tell. In federal health the value moved to everything the dollar did not buy: the platforms the models ride on, the accreditation that lets them run, the governance that keeps them safe, and the encryption that has to outlive the patient.
June 9, 2026 · 18 min read
Six Army captains audited a fleet of dozer maintenance records, found more than 82% of the entries useless, and published it under their own names. A firm priced a job with real AI productivity and got told the price was too low to be credible. Two cases this spring, one about data and one about price, and the system marked both honest parties down. Here is why the machinery underneath speed, innovation, and small business still pays out to the old model, and what it means for the military health enterprise that has the most at stake.
June 2, 2026 · 13 min read
On May 29, 2026, VA posted RFI 36C10B26Q0485, market research for an enterprise AI buy meant to move a 540,000-person workforce from assistive tools to autonomous agents acting on veteran health data. The same document sends governance out of scope. Here is how VA earns the leadership it claims: sequence the agents by risk, put governance on the quarterly clock the price already runs on, and buy all four parts, the capability and the three preconditions that make it safe.
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