Beyond pass/fail: Engineering golden paths for probabilistic AI

To manage the surge of AI-authored software, platform teams must transition from deterministic pass/fail gates to governance built on confidence-based oversight. This session presents a blueprint for governing non-deterministic software by augmenting existing pipelines with:
• A governance scorecard that measures semantic confidence through semantic evaluations, using one LLM to assess another for quality, toxicity, and hallucination.
• Active platform controls such as the proxy pattern via an MCP server, cost circuit breakers, and a platform gateway to enforce rate limits and architectural standards.
• A "harvest, don't dictate" strategy that observes early AI-built applications and turns successful patterns into official golden paths.