Agentic AI: The Application Agencies Need

Using artificial intelligence (AI) is sufficiently new that many government agencies are unfamiliar with how it is already evolving. They may know of generative AI (genAI), which can be used to create new, original content such as text, images, and video. But the version of AI that has the greatest potential to change government is agentic AI – autonomous AI systems that can independently set goals, make plans, reason, and take actions to achieve complex objectives with minimal human oversight.

Federal agencies are actively incorporating autonomous AI agents for multi-step task automation, data analysis, cybersecurity, and personalized citizen services, among other things, looking for significant efficiency gains by orchestrating multiple AI models to handle complex goals. The Food and Drug Administration (FDA), for example, has deployed agentic AI for all employees to manage complex workflows, accelerate scientific reviews, and facilitate drug development.

Learning Objectives:

• Understand what agentic AI is and how it will help employees and end users focus on work they can delegate and work they should be doing
• Outline how agentic AI can streamline complex operations and generate cost savings
• Delineate metrics that can be developed to track the gains made by using AI agents