IBM AI Workflow Patent Using Reinforced Feedback Granted Apr 21
Summary
USPTO granted US Patent 12,608,643 B2 to International Business Machines Corporation on April 21, 2026, covering methods for generating visual workflow representations using reinforced feedback analysis. The patent, filed September 13, 2021 (Application No. 17473957) with 6 claims, describes a system that receives text instructions, identifies actions, generates action sequence mappings via a generative model, presents mappings to users for feedback, and iteratively refines the model based on user input. The CPC classifications span G06N 20/00 (machine learning) and multiple G06F subclasses related to data processing and natural language understanding.
“Generating visual workflow representations by receiving data including text instructions, identifying actions in the instructions, generating a mapping of the actions according to a generative model, the mapping including an action sequence, providing the mapping to a user, receiving feedback from the user, altering the generative model according to the feedback, and generating a revised mapping according to the feedback.”
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GovPing monitors USPTO Patent Grants - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 20 changes logged to date.
What changed
USPTO issued Patent 12,608,643 B2 to IBM on April 21, 2026, covering methods for generating visual workflow representations through a generative model that adapts based on user feedback. The patent describes a multi-step process: receiving text instructions containing actions, mapping those actions to sequences via a generative model, presenting the mapping to users, receiving feedback, and updating the model accordingly to generate revised mappings.
Affected parties include technology companies developing AI-powered workflow automation, process mining, or business process management tools. The patent's broad claims covering reinforced feedback-based generative models for workflow representation may be relevant for freedom-to-operate analyses in AI workflow and automation software development.
Archived snapshot
Apr 22, 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.
Generating workflow representations using reinforced feedback analysis
Grant US12608643B2 Kind: B2 Apr 21, 2026
Assignee
International Business Machines Corporation
Inventors
Shikhar Kwatra, Indervir Singh Banipal, Nadiya Kochura, Sourav Mazumder
Abstract
Generating visual workflow representations by receiving data including text instructions, identifying actions in the instructions, generating a mapping of the actions according to a generative model, the mapping including an action sequence, providing the mapping to a user, receiving feedback from the user, altering the generative model according to the feedback, and generating a revised mapping according to the feedback.
CPC Classifications
G06N 20/00 G06F 16/9024 G06F 40/30 G06F 18/217 G06F 18/214 G06F 18/2321
Filing Date
2021-09-13
Application No.
17473957
Claims
6
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