
Date & time
17:00
Register for the panel discussion
Login or join LeadDev.com to view this content
Boards, CFOs and leaders are asking tougher questions about their AI investments. As the experimentation phase matures into “show me results”, how can you communicate the value of this nascent technology upwards?
Connecting AI tool adoption to the outcomes leadership cares about requires a data-driven approach, but 60% of engineering managers lack clear metrics to evaluate AI’s impact. Metrics designed for a pre-AI world miss the nuances of where AI investments make big returns. It’s past time to develop a new metrics framework for a new era in software engineering.
This panel discussion is a deep dive into the metrics that connect AI tool usage to business outcomes, code quality, and developer satisfaction. As well as what to measure, you’ll learn how to report AI’s value so it resonates with leadership.
Key takeaways:
- The metrics you need to connect AI to core business KPIs
- The hidden areas where AI unlocks productivity gains
- How to communicate that impact to non-engineers and leadership



