By the C3 AI Editorial Team
U.S. Department of Health and Human Services (HHS) agencies across the country are operating under enormous strain. Growing caseloads, legacy platforms with siloed data, and persistent pressure to reduce fraud, waste, and abuse have created a widening gap between the data agencies hold, and their capacity to act on it. Enterprise AI is the unifying intelligence layer that turns that fragmented data into faster case decisions, stronger program integrity, and better population health outcomes. In a recent webinar hosted with Carahsoft, C3 AI federal and product leaders walked through how Enterprise AI is bridging that gap, and what it looks like when agencies can act on the intelligence they already have.
The Challenge: Data Without a Unified View
HHS agencies manage data spread across a patchwork of legacy systems: integrated eligibility platforms, Medicaid Management Information Systems (MMIS), claims databases, demographic records, and thousands of pages of unstructured policy documents. While these systems are critical for both data storage and institutional knowledge, they were never designed to unify and work together. Caseworkers manually navigate between each one, spending significant time on administrative tasks at the expense of higher-value work. The result is slower case processing, compliance and audit risk, missed fraud signals, and limited strategic insight across programs like SNAP, Medicaid, TANF, and childcare.
HHS agencies face a challenge in the absence of data unification capabilities across their disparate systems: without consolidation, the intelligence living in these legacy systems remains buried. With the application of Enterprise AI, insights can be generated faster, with agentic systems to contextualize and reason across the vast stores of data.
An Intelligence Layer, Not a Replacement
C3 AI’s approach to supporting HHS starts with a simple principle: augment existing systems rather than replace them. Built on the C3 Agentic AI Platform, C3 AI’s solution for HHS creates a unified data layer by ingesting and normalizing data from the sources agencies already rely on: eligibility systems, claims data and MMIS data, integrations with the Internal Revenue Service (IRS) and Social Security Administration (SSA), and unstructured policy and regulatory documents.
“We are not here to replace your existing systems. We’re here to layer an intelligence layer on top of your source systems — to ingest, normalize that data, and get the outcomes you’re looking for.” — Chris Siebel, Vice President, Sales, C3 AI
On top of that foundation, C3 AI delivers pre-built applications specifically designed for the most common and high-value HHS challenges:
- Fraud, Waste, and Abuse Detection: Machine-learning models analyze claims data, provider behavior, and documentation patterns to surface high-risk cases that the rules-based systems relied on by MMIS would rarely flag.
- Predictive Risk Scoring: A SNAP payment error risk score, calculated before a caseworker authorizes benefits, flags potential issues such as missing income verification and routes them for manual review, all within the existing integrated eligibility system.
- Policy Agents: Caseworkers can ask natural language questions against policy documents and structured case data simultaneously. Responses are always traced back to the source, including the specific page of the policy document where the answer was found, so caseworkers can verify and proceed with confidence.
- C3 AI Document IQ: Automated document processing handles massive amounts of paperwork, from certification forms and ID verification to proof of income and household composition forms. The application extracts the key data fields and applies assessment rules at scale.
Enterprise AI in Practice at HHS
C3 AI has been selected to deploy the C3 Agentic AI Platform at the Department of Health and Human Services as part of a broader initiative to create a consistent, reusable AI infrastructure across the agency.
The implementation spans two primary workstreams. The first, centered at the National Institutes of Health (NIH), is creating a universal tenant that integrates disease databases across research programs, enabling the research and provider community to access obfuscated, privacy-preserving data for population health analysis. The second, at the Centers for Medicare and Medicaid Services (CMS), is integrating Medicare data from the Integrated Data Repository — one of the largest health data warehouses in the country — with state-level Medicaid data. This creates a cross-agency view that makes use cases like cross-state duplicate benefit detection possible for the first time.
The goal is exactly the kind of “one HHS” view the agency has long sought: consistent data integration, shared capabilities across divisions, and a platform that can scale to new use cases as priorities evolve.
Payment Integrity and Population Health: AI Across the Healthcare Ecosystem
The same capabilities driving value at HHS translate directly into the commercial healthcare space, where C3 AI is working with payers, providers, diagnostics companies, and pharmaceutical firms to address similar challenges at enterprise scale.
In payment integrity, a major source of waste across both government and private payers, C3 AI is converting the natural language of complex provider contracts and policies into agentic workflows, then applying those workflows against incoming claims. Today, large commercial payers often catch less than 1% of waste and abuse on low-value claims, simply because they can’t staff sufficient review capacity. By automating the logic a human adjudicator would apply, the solution can identify significant waste in low-value claims while doubling the throughput capacity of reviewers.
Security and Sovereignty by Design
Every C3 AI healthcare deployment is designed with data governance, security, and compliance at the foundation. The C3 Agentic AI Platform supports FedRAMP-authorized and HIPAA-compliant environments and can be deployed in government-managed cloud infrastructure, including Azure Government Cloud and AWS GovCloud, ensuring that sensitive data remains within customer-approved, government-authorized boundaries.
For agencies navigating the herculean task of modernizing public health infrastructure, C3 AI offers robust, secure, and flexible solutions. These applications integrate with an agency’s pre-existing systems, protect their critical data, and deliver tangible public health outcomes: faster and more accurate case processing, stronger program integrity, and an Enterprise AI foundation that scales with the pace of change.
Watch the on-demand recording to see live demonstrations of C3 AI’s SNAP policy bot, payment risk scoring, and fraud detection capabilities.
Visit our industry page to learn more about how C3 AI serves federal, state, and local government agencies.
