MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122482 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy University; Malla Reddy Engineering College For Women; Malla Reddy College Of Engineering And Technology; and Malla Reddy Vishwavidyapeeth, Medchal-Malkajgiri, Telangana, on Dec. 5, 2025, for 'low-code ai workflow builder for business analysts.'
Inventor(s) include Dr. Aravind B; Dr. Ch. Lakshmi Narahari; Dr. Narendra Mulugu; B. Rajeshwar Reddy; and Dr. Kanaka Durga Returi.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "A low-code artificial Intelligence workflow builder is created such that business analysts are able to design, deploy, and optimize the intelligence process automation without large amounts of programming knowledge. The framework combines drag and drop workflow modeling and out-of-the-box AI service to coordinate dynamic data between organizations and automation design. Having integrated both visual process mapping and machine learning, the system enables building full workflows, such as decision-making, data processing and predictive analytics, into a single user interface. The architecture is made of a collection of reusable AI modules or components in a library placed under classification, natural language understanding, forecasting, and anomaly detection. All the components may be configured using declarative parameters instead of code enabling non-technical users to build intricate workflows in an efficient manner. An in-built recommendation engine is used to analyze behavior and context of the business to provide the best possible combination of components to reduce the time spent on configuration and provide the accuracy. Extant workflows can be monitored by a runtime controller which manages execution, dependency and dynamic scaling. Feedback based on process outcome is obtained to re-train inherent models continuously thereby guaranteeing flexibility and performance optimization over time. The system encourages accessibility, uniformity, and openness in the use of AI in business activity, and enables business organizations to incorporate smart automation into their daily decision-making without having to outsource to the advanced development team."
Disclaimer: Curated by HT Syndication.
