AI is making code generation faster than human review can keep up. The bottleneck is no longer writing code, but reviewing it.
This session asks the leadership question behind AI adoption: how do you stay accountable when no one can read every line that ships? We present a four-layer governance model, where each layer catches what the previous misses:
- BDD Gherkin scenarios authored by business and engineering, proving expected behavior without reading code
- Selective human review focuses on architectural core and security paths
- Agent review to check every PR for style, technical debt, and anti-patterns
- Observability + progressive deployment rings to catch issues in production
You leave with a practical model for teams, auditors, and leaders facing AI-scale delivery.