Description:

Post-award performance management is consistently cited in government reviews and inspections as being late, inaccurate, and incomplete—creating risk for both agencies and vendors. This course demonstrates how Large Language Models (LLMs) and multi-modal AI tools can help improve timeliness, consistency, and clarity in performance oversight. You will learn practical methods to generate real-time, coherent performance ratings, narratives, and interactive updates that support better collaboration between the buy and sell sides.

Speaker: 

•  Dan Finkenstadt - Vice President of Research & Senior Fellow, Commerce & Contract Management Institute

Who Should Attend This Session:

• Buy-side: Contracting Officers, CORs, Program Managers, and post-award contract administration teams
  
• Sell-side: Vendor program managers, contract administrators, and performance reporting staff
  

What You'll Learn:

• Apply AI tools to streamline post-award performance reporting
  
• Produce coherent, defensible narratives and ratings in near real-time
  
• Facilitate better buy/sell-side engagement through AI-enabled performance insights
  

Session Overview:

• AI-generated narratives
  
• Real-time oversight
  
•  Enhanced collaboration

CMBOK Competency: 4.2 Ensure Quality; 4.4 Manage Changes

Credits: 1.0 CPE/CLP credits for participation

Cost: $145 Members/$180 Non-members

If you'd like to save on all four AI Training sessions, you can purchase the AI Learning Package here.

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