A general AI model does not know your policies, your cases, or how your programs fit together. Swingtech fixes that by pointing AI at your agency's own approved information. We map how your records, rules, and programs relate to each other, then use that map so the AI answers questions with sources staff can check. The result is search and answers your team can stand behind. We work in these areas:
AI answers drawn from your own policies, regulations, and case records, with a link to the source
Maps of how your programs, records, and terms connect to one another
A reference architecture we built for grounding AI in agency data, bringing together knowledge graphs, retrieval, and Model Context Protocol (MCP) connections so new tools plug into the same governed sources
Search across SharePoint, ServiceNow, records systems, and data lakes from one place
Shared definitions so reports and AI tools use the same terms and the same numbers
Controls that cut down on made up answers, plus regular accuracy checks
Testing against a set of known questions and answers so you can track quality over time
Permissions respected, so people see only what they are already cleared to see
