Train Employees on Cost-Optimized Best Practices for GenAI

• How to create a systematic process for selecting different LLMs for different tasks to reduce costs while achieving the required performance

• How to standardize efficient GenAI usage practices through training, prompt design and reusable prompt repositories

• How prompt design affects model accuracy, relevance and inference costs

• How to monitor and govern GenAI consumption as adoption scales across the enterprise

Generative AI has rapidly become a cornerstone of the modern digital workplace, empowering employees by democratizing access to knowledge, lowering skill barriers and automating tasks. However, every interaction with a GenAI model incurs costs, and seemingly small per-transaction expenses can quickly accumulate across thousands or millions of enterprise interactions.

I&O leaders are uniquely positioned to oversee, measure and manage GenAI costs at scale. This session explores how organizations can drive a cultural and operational shift that helps employees use GenAI more efficiently while maximizing business value. Gartner experts will discuss approaches for selecting the right models for the right tasks, establishing context-specific training programs, improving prompt design practices and creating accessible prompt repositories. The session also examines how usage monitoring and governance can help organizations identify key cost drivers, manage consumption and optimize GenAI investments as adoption grows.

Return to this web page to watch the webinar. Contact us at gartnerwebinars@gartner.com with questions about viewing this webinar.