How federal customers are actually evaluating AI maturity, and why most primes are not yet prepared. Includes an eight-condition self-diagnostic you can run against your own firm.
A prime can align to the NIST AI Risk Management Framework, hold CMMC 2.0 certification, and adopt DoD Responsible AI principles, and still fail to demonstrate AI maturity in the way a federal customer experiences it.
Because maturity is not read off a compliance artifact. It is inferred from how the organization actually operates: how decisions get made, where authority sits, and whether governance can be exercised when a system behaves in a way no one predicted. That judgment is beginning to surface in source selection, technical evaluations, and CPARS.
This paper maps what the rules now require, including SR-equivalent shifts, the EO 14110→14179 transition, the 2025 AI Action Plan, and NDAA Section 1513, and introduces the Octant AIR Index™ for assessing what is actually being judged.
For each condition, the paper shows what weak and strong look like to an evaluator, so you can read your own firm honestly.
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