Artificial intelligence in action

Mathematica applies responsible, human-in-the-lead AI to unlock insights, accelerate decision-making, and generate real-world impact across sectors.
From custom tools and automated document analysis to AI-enabled data platforms, our work streamlines complex workflows, reduces costs, and speeds agency operations while maintaining transparency, accuracy, and expert oversight. On this page, explore how our governed AI solutions deliver results with accountability and integrity at the forefront.
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How CMS used AI to cut hospital inquiry turnaround time by 35%

A custom AI tool created by Mathematica and its partner helped the Centers for Medicare & Medicaid Services (CMS) cut response times to certain hospital questions by 35 percent, delivering faster, clearer answers to providers. As agencies experiment with AI, CMS shows what governed AI can look like in practice, speeding operations without sacrificing accuracy, transparency, or expert oversight.

Could your agency benefit from governed AI?
Schedule a consultation with our healthcare AI team.
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Accelerating regulatory analysis with generative AI

A generative AI-powered chatbot developed by Mathematica helped CMS cut annual costs for an analysis of an agency rule by roughly 94 percent. The AI solution automated time-intensive document comparison, freeing experts to focus on higher-value policy analysis. The result was not just more efficient rulemaking but a scalable model for using AI to support smarter, more transparent decision making in health policy and beyond.

Reduce regulatory analysis costs without sacrificing oversight.
Speak with our AI policy experts.
Angled mockup of a Mathematica position paper titled ‘Framework for Evaluating LLMs on Complex Data Sets,’ showing the teal-and-navy cover with abstract network lines over hands on a laptop alongside open pages labeled ‘Executive Summary’ and ‘Problem Statement.’

Framework for evaluating LLMs’ handling of complex data sets

Most public evaluations of large language models (LLMs) rely on simplified or artificial data, making it hard to tell whether these tools can conduct the complex analyses used for real-world policymaking and research. To close that gap, Mathematica developed a prototype for a cloud-based LLM evaluation framework that tests how well different AI models analyze complex, survey-based data, helping organizations understand when and how AI can be used responsibly to support accurate, transparent decision making.

Evaluate AI before you deploy it.
Request a framework overview.
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How AI can help government work better

Government agencies face growing demands to deliver faster, more efficient services while maintaining accountability and public trust. In a recent op-ed, Mathematica President and CEO Paul Decker outlines how artificial intelligence—when thoughtfully designed and governed—can help agencies meet these challenges. From improving program delivery to strengthening decision-making, AI offers practical opportunities to enhance how government works without replacing the human expertise at its core.

Put AI to work for better public outcomes.
Connect with our AI and data science team.

From our CEO

“The most important impact of AI in the public sector may not be automation at all. It is the ability to shorten the time between data becoming available and leaders gaining the insights they need to act. In other words, AI’s real promise lies in improving time to insight.”

Paul Decker
Paul Decker
President and Chief Executive Officer
 

Our principles

Mathematica applies AI responsibly, ethically, and with rigorous human‑in‑the‑lead oversight to safeguard privacy, security, and public trust.

Guided by our AI Principles & Position Statement, we use vetted enterprise‑grade tools, apply strict data‑protection and governance controls, and ensure that all AI‑supported work is reviewed by experts for accuracy, fairness, and alignment with client goals. Our comprehensive safeguards framework reflects our commitment to transparency, strong governance, and the responsible use of trusted data.

Clients interested in learning more about our organizational AI guardrails can contact us at info@mathematica-mpr.com for a detailed overview.

Meet some of our experts

Mark Flick

Mark Flick

Senior Director, Data Science and Analytics

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John Hotchkiss

John Hotchkiss

Lead Data Scientist

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Loretta Cambron

Loretta Cambron

AI Transformation Director

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Sarah Bardin

Sarah Bardin

Director of Innovation, Nutrition, Health, and Human Services

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