# Federal Agencies Measure AI Outcomes

Federal agencies are shifting their focus from deploying AI tools to assessing whether those tools improve workforce adoption, service quality, and processing speed. In comments reported by Federal News Network, Maximus Vice President of Solutions Architecture David Chou emphasized validating AI outputs where they may affect mission-critical systems and services. The signal describes a procurement trend, not a specific solicitation or funded opportunity.

- Contractors proposing AI solutions should connect implementation plans to measurable outcomes such as adoption, service quality, and processing speed.
- Procurement teams can evaluate whether proposals define reliable performance measures and include human validation and ongoing guardrail monitoring.
- The article identifies no named agency, contract, budget, solicitation, or deadline; companies should treat this as market direction rather than an active bid opportunity.

**Jurisdictions:** federal
**Industries:** Information Technology
**Topics:** Artificial Intelligence
**Published:** October 16, 2026

### Vendors
- Maximus ()

### Key Quotes
> But at the end of the day, these outputs are going to potentially touch systems that are mission critical for the nation and for citizens, and so you need to be able to check its answer.
> — David Chou, Vice President of Solutions Architecture at Maximus

### Sources
- [
        Maximus’ David Chou on grading AI success - Federal News Network](https://federalnewsnetwork.com/artificial-intelligence/2026/10/the-hard-part-of-ai-isnt-deployment-its-proving-it-works) - Federal News Network