Summary
Public sector organizations are entering the Frontier era—where human–agent teams help reshape work and enable faster, more responsive outcomes. Generative AI has already reduced the time spent drafting, summarizing, and analyzing information; agentic AI goes further by automating end-to-end workflows and expanding organizational capacity. Leading agencies are applying agents first to high impact, mission critical use cases such as procurement and budget management, reimagining HR operations, licensing and permitting, and modernizing contact centers. By starting with a single, well-defined process, establishing governance, and scaling what works, organizations can move from experimentation to measurable impact—quickly and responsibly.
The transition to agentic AI doesn’t need to happen all at once. Successful organizations take a phased approach that builds confidence, capability, and trust over time.
How to get started
- Empower your workforce with AI tools: Begin by rolling out tools like Microsoft 365 Copilot and Copilot Chat to help employees improve productivity immediately and build confidence using AI in their daily work.
- Develop a clear AI strategy: Create an AI plan that spans business strategy, technology foundations, applied AI experiences, organizational readiness, and governance—often supported through an AI Center of Excellence workshop.
- Assess your AI maturity: Run a structured assessment to understand your current state, benchmark against peers, and identify priority opportunities for impact and scale.
- Build and test agents in real scenarios: Use process mapping and agent prototyping workshops to identify repetitive, high value tasks and design agents that support real operational workflows.
- Move from pilots to scale: Apply what works, strengthen governance and security practices, and expand successful agents across the organization to enable sustainable, responsible transformation.