From Data Chaos to Mission Clarity: Designing AI Governance for the Real World

Replace AI hype and data drift with context-rich, explainable systems that scale trust, not just technology

In the rush to modernize, federal agencies are inundated with data and AI tools that promise transformation. But without alignment to specific mission outcomes, and the ability to trace how decisions are made, these tools often create new complexity.

This whitepaper, produced in partnership with data.world, offers a practical path forward: a strategy to turn fragmented data and opaque models into accountable, explainable systems that accelerate agency goals. Drawing on lessons from leaders like the CFPB and guided by policies like OMB M-24-10 and EO 14110, this guide reveals how to design for clarity from the start.

It also provides a practical roadmap for turning data sprawl and AI hype into structured, transparent, and impactful systems. It offers on real-world insights, including a deep dive into the Consumer Financial Protection Bureau’s data transformation, and outlines the critical elements needed to move beyond experimentation and toward trusted, repeatable AI practices. 

If you are leader looking to cut through AI ambiguity and deliver measurable value to their organization, this whitepaper is for you.