Harnessing AI in Commercial Practice: Optimizing Post-Award Contract Management

Artificial intelligence (AI) is transforming post-award contract management, helping organizations move from reactive issue resolution to proactive, data-driven contract oversight. By leveraging natural language processing (NLP), machine learning (ML), optical character recognition (OCR), and intelligent automation, contract management teams can streamline obligation tracking, monitor supplier performance, identify compliance risks, and uncover opportunities for cost savings and contract renewals.

This webinar explores practical applications of AI in post-award contract management, from extracting contractual obligations and organizing clause libraries to automating performance monitoring, renewal notifications, and exception management. Participants will learn how to integrate contract and operational data, develop automated alerts and dashboards, and establish workflows that prioritize critical actions while maintaining appropriate human oversight.

The session will also address essential considerations for implementing AI-powered contract management solutions, including data quality, governance, vendor selection, auditability, and compliance controls. Through real-world examples and implementation best practices, attendees will explore how to reduce contract leakage, accelerate remediation, and improve supplier performance. Participants will gain guidance on developing a 60-day AI pilot plan, identifying meaningful performance metrics, and creating a scalable roadmap for integrating AI into their contract management processes.

• AI in Post-Award Contract Management: Understanding AI technologies and their applications throughout the contract lifecycle.
• Contract Data and Obligation Extraction: Preparing contract data, building clause libraries, and automating obligation tracking.
• Performance Monitoring and Risk Management: Tracking SLA compliance, identifying exceptions, and automating alerts and remediation.
• Renewal and Value Optimization: Managing renewal notifications, reducing contract leakage, and identifying cost-saving opportunities.
• AI Governance and Compliance: Establishing human oversight, audit trails, and model validation controls.
• Implementation and ROI: Developing a 60-day pilot plan, evaluating vendors, measuring KPIs, and scaling AI adoption.

• Understand how AI technologies, including NLP, OCR, machine learning, and intelligent automation, can improve post-award contract management.
• Learn how to prepare and organize contract data to support automated obligation extraction, clause identification, and continuous monitoring.
• Discover strategies for using AI to track service-level agreements (SLAs), identify compliance risks, and prioritize contract exceptions.
• Explore automated workflows for contract renewals, notice requirements, remediation activities, and identifying cost-saving opportunities.
• Learn how to incorporate human review, versioned audit trails, and governance controls into AI-assisted contract management processes.
• Identify key performance indicators (KPIs) for measuring AI effectiveness, including contract leakage reduction, remediation time, SLA compliance, and renewal capture.
• Develop a practical 60-day pilot plan that addresses technology selection, data requirements, governance checkpoints, and implementation priorities.

By attending this webinar, you will gain actionable strategies to reduce administrative workloads, strengthen contract compliance, and make more informed decisions throughout the post-award contract lifecycle. You will also leave with a practical framework for evaluating AI solutions and implementing improvements that deliver measurable results.