Unlike traditional robotic process automation, which is rule-based and often follows strict and predefined workflows, agentic RPA incorporates elements of artificial intelligence, allowing it to make decisions and adapt to changing conditions within a given framework.
Given that agentic RPA is particularly relevant for tasks that require a blend of repetitive execution and flexible responses, such as complex data analysis, Tapestry Inc. has set the ball rolling in this area, according to Karthigeyan Ramakrishnan (pictured, left), director of planning systems and RPA at Tapestry.
“Where I think agentic RPA would make a significant leap and help our customers is you can orchestrate multiple things,” Ramakrishnan said. “One particular application that we’re building using generative AI is we connected our reporting database to a model and the app would convert questions in natural language into SQL queries, fire against the database and get you the response. It’s coming up successfully.”
Ramakrishnan and Tami Becker(right), SAP RISE …