Making Sense of Unstructured Government Data: How Idaho Turned 2,000+ Case Files into Actionable Insights

Across government, some of the most valuable insights are buried in unstructured information like case notes, reports, regulatory documents, and narrative records that were never meant to be analyzed at scale.

The Idaho Department of Health and Welfare ran into this exact challenge while trying to answer a critical question about foster care: what actually leads to successful family reunification? National research had identified indicators linked to children safely returning home, but Idaho needed to know whether those same signals existed in its own cases. The answers were buried across more than 2,000 foster care files, each filled with years of caseworker notes, observations, and reports. Using an AI agent, the state analyzed the entire dataset in hours, surfacing the indicators tied to successful reunification and turning narrative records into usable evidence.

But the bigger takeaway goes well beyond foster care. The same approach is already being applied in other parts of government.

Join Government Technology, In Time Tec and leadership from the Idaho Department of Health and Welfare for a live webinar where we’ll explore what becomes possible when AI can read and interpret the kinds of complex records government collects every day.

What You'll Learn

• How Idaho used AI to review 2,000+ case files in just 15 hours
• How agencies can find useful insights in unstructured data like notes, reports, and records
• How AI can support human decisions while staying transparent and accountable
• How to spot practical AI opportunities across state and local government