Why Traditional Engineering Metrics are Failing in the GenAI Era

The Era of Human-Centric Implementation is Shifting. As engineering workflows move toward AI-mediated orchestration and agentic models, traditional productivity metrics-like throughput and story points-are losing their reliability. How do you measure performance when output rises but review depth thins?

In this Milestone webinar, we address the “Assessment Problem” facing modern engineering leadership. We move beyond simple adoption metrics to explore Controlled Acceleration: the ability to increase delivery velocity without degrading stability or governance.

🔍 What You’ll Learn:

• The Metric Mismatch: Why traditional KPIs fail to capture the reality of AI-generated code and rework.
• Investigative Governance: How to maintain stability and risk discipline in spec-led development.
• Introducing EALI: A deep dive into the Engineer Automation Leverage Index, a composite framework for formalizing leverage across delivery, stability, and risk.
• Telemetry over Surveillance: How to use repository and workflow data to measure value without intrusive prompt-level monitoring.

📊 Key Takeaways for Engineering Leaders:

• How to reframe performance as “Controlled Acceleration.”
• Balancing delivery velocity with governance integrity.
• Implementing a “North Star” index for agentic engineering teams.