SAP SE AI Agent Process Flow Automation Patent Application
Summary
The USPTO published patent application US20260099792A1 by SAP SE covering AI agents for automating business process workflows. The invention enables users to query process workflows through natural language, with AI agents identifying target processes and generating automated responses. Related systems and software implementations are also disclosed.
What changed
The USPTO published patent application US20260099792A1 by SAP SE covering AI agents for automating business process workflows. The invention enables users to query process workflows through natural language, with AI agents identifying target processes and generating automated responses. Related systems and software implementations are also disclosed.
Companies implementing business process automation should monitor this application for potential patent landscape implications, particularly those developing LLM-based workflow solutions. While patent applications do not immediately affect operations, they signal technology directions and potential future licensing considerations.
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Archived snapshot
Apr 9, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
PROCESS FLOW AUTOMATION USING AI AGENTS
Application US20260099792A1 Kind: A1 Apr 09, 2026
Assignee
SAP SE
Inventors
Gopi Kishan, Kavitha Krishnan, Rohit Jalagadugula, Manoj Kumar, Shaunak Kaushik, Hari Kishan
Abstract
A computer-implemented method for improving process flow automation is disclosed. The method can receive a user query from a user interface and identify a target process including a selected task that matches the user query. The target process is one of a plurality of processes included in a process workflow. The target process includes a plurality of tasks and links connecting the plurality of tasks. The links define an operation sequence of the plurality of tasks. The method can retrieve a context prompt describing the target process, prompt a large language model with the user query and the context prompt, receive a response generated by the large language model, and generate an output on the user interface based on the response. Related systems and software for implementing the method are also disclosed.
CPC Classifications
G06Q 10/0633 G06F 9/541
Filing Date
2024-10-03
Application No.
18905760
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