This presentation offers a practical look at how you can leverage GenAI within a secure, internal environment to improve efficiency in Software Asset Management. By connecting all relevant systems and feeding GPT with structured queries, the team has developed a growing library of prompts that help extract entitlement and contract data across tools. The goal isn’t to replace existing SAM discovery tools—but to improve how data is queried, understood, and reused. This approach has increased visibility, sped up repetitive tasks, and supported better-informed decision-making when managing licenses and vendor contracts. In this session you will learn:

• How to build effective GenAI queries to extract relevant SAM data across systems
• How to identify common contract clauses and entitlement patterns using prompt templates
• How to use GenAI-generated outputs to support strategic decisions and stakeholder communication

• How to bring fresh perspectives into established SAM processes?
• How to learn from the agility of tech-driven or smaller companies?
• How to introduce innovative practices within structured environments?
• How to navigate distributed responsibilities and promote cross-functional collaboration?
• How to explore models for smarter, faster decision-making?

Listen to the three most important takeaways of the World Café discussion groups.