How are AI agents changing the way enterprises automate business processes?

AI agents are becoming more capable of understanding requests, making decisions, and interacting with multiple systems through APIs and automation tools.

I’m interested in how organizations are approaching this shift from traditional workflow automation toward more intelligent, agent-driven workflows.

Some areas I’m exploring:

• How are teams deciding which processes are suitable for AI agents?
• What role do validation, monitoring, and human approval play in agent-based automation?
• How are organizations managing security and permissions when AI agents access business systems?
• Are AI agents replacing traditional workflows, or working alongside existing automation platforms?

Would love to hear how the community is approaching AI agent adoption in real enterprise scenarios. What patterns or lessons have you learned while implementing AI-powered workflows?