Have You Used AI Tools to Enhance Decision-Making in Project or Operations Workflows? What Worked, What Didn't?

With AI tools like ChatGPT, Bard, and industry-specific AI solutions becoming more accessible, many project and operations teams are experimenting with AI for decision support—whether it's in risk analysis, stakeholder communication, forecasting, or lessons learned documentation.

In your experience:
1. Where did AI actually help improve the quality or speed of decision-making?
2. Were there cases where it backfired or caused more confusion?
3. How do you balance AI recommendations with traditional human judgment and stakeholder validation?

Would love to hear real-world examples and lessons from the community.