MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641114660 A) filed by Ballari Institute Of Technology & Management; Mr. Manjunath Kammar; Dr. Aradhana D; Dr. Jagadish R M; Mr. Azhar Baig M; M. Mahenoor; Avni Sodari; Tahir Tamam; and Aiman on September 24, 2026, for Artificial Intelligence Revenue Operations System For Persistent Account-State Driven Deal Execution.
Inventors include Mr. Manjunath Kammar; Dr. Aradhana D; Dr. Jagadish R M; Mr. Azhar Baig M; M. Mahenoor; Avni Sodari; Tahir Tamam; and Aiman.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Artificial Intelligence Revenue Operations System for Persistent Account-State Driven Deal Execution This invention describes an artificial-intelligence-based revenue operations system for maintaining a persistent machine-readable operational state of business accounts using heterogeneous enterprise and external information. Account-related communications, customer-relationship-management records, meeting transcripts, messaging events, calendar information, documents, and external information are converted into normalized evidence objects containing entity associations, temporal information, provenance, and confidence data. The evidence objects update an account-state evidence graph representing commercial relationships, commitments, stakeholders, objections, dependencies, opportunities, and forecast conditions. A temporal processor detects meaningful transitions between successive account states and supplies the detected transitions to deal-risk and contextual assistance processes. Responsive actions including account brief generation, meeting assistance, risk alerts, follow-up generation, and record modification are generated according to detected transitions. A confidence-and-policy control mechanism automatically executes permitted actions while routing consequential or uncertain actions for human approval, with resulting actions recorded as further evidence.
Disclaimer: Curated by HT Syndication.
