AI agents can write code, generate tests, and propose architectures. But they cannot resolve ambiguity, align stakeholders, or define value.

The constraint is no longer tooling. It’s the human bottleneck.

This session examines:
- Where AI agents break down in real workflows
- Orchestration patterns that reduce hallucination risk
- Aligning AI outputs with product intent
- Governance models for responsible AI integration

This is a pragmatic look at integrating AI into real development pipelines — without hype.

Key Takeaways
- Patterns for reliable AI workflow orchestration
- How to prevent drift between AI output and business goals
- Where to insert human judgment
- Governance strategies for production environments