A buyer’s guide to AI in government

A practical framework for evaluating AI use cases, aligning with mission goals, and scaling securely.

The AI landscape is moving fast, but federal agencies can’t afford to make risky investments. This guide helps government decision-makers cut through the hype and focus on what matters: results, compliance, and mission impact.

The AI in Government Buyer’s Guide from DataRobot is your roadmap to AI success. You’ll learn:

  • Why AI matters in government
  • Challenges in AI adoption
  • How to evaluate vendors and solutions
  • How to align AI with your mission
  • Key metrics for measuring AI success
  • How to scale AI adoption across programs
  • Emerging AI trends to watch

Whether you’re assessing options or scaling existing efforts, this guide offers practical insight tailored to the public sector.

Download today to begin your journey to mission-critical AI

DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas

Vice President of Data & Analytics, FordDirect

The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil

Director of Data Science & AI