AI Reality for GovCon & Defense Contractors
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.
conditions
self-diagnostic
Compliance produces documentation. Customers are buying capability.
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 cannot be inferred from 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.
The eight conditions of AI performance.
For each condition, the paper shows what weak and strong look like to an evaluator, so you can assess your own firm honestly.
- 01Strategic Mandate
- 02Executive Alignment
- 03Governance & Decision Rights
- 04Data & Technology Strategy
- 05Operating Model & Structure
- 06Leadership Capability
- 07Workforce & Culture
- 08Value Measurement & Improvement
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The full paper is free to read, with no form and no gate. Download it and run the eight-condition self-diagnostic against your own firm.
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