Is your government workforce ready for AI agents?

A practical guide for government agencies to redesign workflows so agentic AI can scale—responsibly, securely and in service of citizens

A person wearing a light blue suit and gray top stands in front of a grand architectural building with tall columns. The subject’s pose is confident, with one hand in their pocket, suggesting professionalism and authority. The background architecture adds a formal, institutional atmosphere, possibly related to law, government, or business. The overall color palette is muted and sophisticated, emphasizing the tailored outfit and structured setting.

Why do AI efforts fail?

Al investment in government organizations is growing, but rising workforce productivity expectations aren’t being met. The problem isn’t the Al agents; it’s the environment around them. Learn how to overcome the four barriers limiting Al impact.

Isolated agents

Siloed agents that cannot share context or coordinate work limit productivity across agencies.

Data quality

Fragmented data across systems creates errors, slows execution and weakens agent reliability.

Governance risk

Lack of governance introduces risk and reduces trust in AI-driven decisions and actions.

Workforce skills gap

Without continuous skills development, employees remain unprepared for AI-driven change.

A professional woman in business attire walks through a modern open-plan office holding a digital tablet. Large floor-to-ceiling windows reveal a cityscape with tall glass buildings outside. Several colleagues sit at desks and in a meeting area, working on laptops and documents. The scene is lit by natural daylight, creating a clean, contemporary corporate atmosphere.

Access the workforce transformation guidebook for government

Read the guide to learn how redesigning AI-led workflows can unlock real workforce productivity outcomes