Responsible AI Use: Cost, Security, and Quality

​If you're responsible for AI adoption, the expectations have changed quickly. A year ago, the priority was getting more employees to use AI. Now, leaders are asking harder questions about cost, security, and whether that usage is delivering enough value.

​Across the organizations we work with, we're seeing this shift firsthand. The challenge is no longer just getting people to use AI, but helping them use it well: choosing the right tasks, understanding the risks, and knowing when human judgment matters.

​In this session, we'll draw on our work with 100+ organizations to share what strategic, responsible AI use looks like in practice. We'll help you identify where to focus next and build an approach that your Finance, Security, and People teams can support.

We'll cover how to:

• ​Improve token efficiency: Help teams use models, context, and tokens intentionally without unnecessary cost or complexity

• ​Navigate security and data access concerns: Decide what AI can see and do, and what to tell employees while controls are still being built

• ​Protect quality and critical thinking: Set a clear bar for AI-assisted work, keep human judgment in the loop, and help managers address AI slop with their teams