Hi All, I am working on small POCs using agentic AI. I have built an agent and configured it within a workflow. In this workflow, whenever a document is uploaded, it is consumed by the agent. If the document is identified as a bank transaction, the decision should be “Approve”; otherwise, it should…

If the action you want to take is based purely on the approve/reject recommendation of the agent, then you could do this in standard case processing after the agent runs. No AI required. Output the recommendation of the agent to a case property and use this to drive the case update logic.

Thanks for your response, what you suggested is correct but here i want to perform POC what actions can be taken the agent, from the POC perspective can you guide why agent is not processing the relevant action always?

Have a look at the Pega-Autopilot-Conversation instances in Dev Studio - this will show details of all of the agent interactions, the plan that the agent came up with for each interactions and the tools that it decided needed to be called in that instance [image]

This is a well-known LLM non-determinism challenge in agentic workflows. You’re not doing anything wrong conceptually. LLMs (even with the same prompt) don’t always call the same tools on every invocation. Tool selection depends on the model’s probabilistic output. Without strong prompt engineerin…

AI Agents: Not picking action tools always

RameshSangili (Ramesh Sangili) May 4, 2026, 6:59pm 3

Please find the AI features supported in Traditional application

https://forums.pega.com/t/pega-genai-ui-architecture-and-version-support/11596

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AI Agents: Not picking action tools always

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