This whitepaper dives into the Agentic AI and its game-changing impact on business efficiency. RPA and BPA are limited by rigid, rule-driven workflows and struggle with dynamic, non-linear tasks. Agentic process automation (APA) improves on this by leveraging AI agents and LLMs, but still cannot handle highly unstructured or low-volume complex work.
It’s time to automate and orchestrate end-to-end business processes with a new class of AI software. In this whitepaper, you’ll learn:
Agentic AI goes beyond RPA, BPA, APA, machine learning (ML), large language models (LLMs), generative AI, and even AI agents themselves.
Agentic AI automation requires an orchestration layer to improve visibility, reduce complexity, and effectively manage agentic workflows.
Hurling individual agents at isolated workflows is a costly approach that is unlikely to deliver much value.
Without orchestration of AI Agents, enterprises will be adding more complexity to a spaghetti architecture for automation tools.
See how you can effectively adopt and scale AI agents for your business processes.