Public sector organizations are shifting AI use from individual productivity tools to end-to-end agentic workflows. Key trends include significant IT budget reallocation toward AI (65% of agencies planning 11%+ of IT budget), a move from 'human in the loop' to 'human in the lead' governance models, the need for open and modular data architectures to avoid vendor lock-in, and growing adoption of sovereign AI to control data residency and access. IDC survey data from 152 federal entities shows 80% expect measurable ROI within 12 months and 46% already use some form of sovereign AI.
Table of contents
1. Investing in AI that delivers measurable impact2. Rethinking architecture for scalable impact3. Redefining control from human in the loop to human in the lead4. Navigating governance and trust in high-stakes environments5. Strategic autonomy and the sovereign AI imperativePrioritizing your next steps for AI integrationShareSort: