Agentic AI for business process automation” refers to using artificial intelligence agents with autonomous decision-making capabilities to automate complex business processes, allowing them to adapt to changing conditions in real-time without constant human intervention, going beyond traditional rule-based automation methods. 

Key points about agentic AI in business process automation:

• Autonomous action: Unlike basic RPA (Robotic Process Automation), agentic AI agents can make independent decisions based on data analysis and context, not just follow predefined rules. 

• Adaptive learning: These AI agents can learn from experience and adjust their behavior over time to optimize process outcomes in dynamic situations. 

• Goal-oriented approach: Agentic AI systems are designed to achieve specific goals within a business process, actively taking necessary steps to reach them. 

• Complex task handling: Agentic AI can tackle intricate business processes involving multiple steps, decision points, and interactions with different systems.