MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076034 A) filed by Saveetha Engineering College on June 19, 2026, for Collective Intelligence Extraction System For Enterprise Decision Enhancement.
Inventor includes Dr. L. Anitha.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a Collective Intelligence Extraction System for Enterprise Decision Enhancement designed to systematically capture, evaluate, synthesize, and utilize distributed organizational knowledge for improving enterprise decision- making processes. The invention addresses limitations of convention_al decision-support and knowledge management syslellls that primarily rely on structured data while underutilizing valuable insights embedded within employee expertise, stakeholder interactions, collaborative activities, and organizational experiences. The proposed system comprises a Knowledge Acquisition Module, Stakeholder Intelligence Profiling Module, Contribution Validation and Credibility Assessment Module, Collective Intelligence Extraction Engine, Knowledge Synthesis and Correlation Module, Decision Enhancement Engine, Adaptive Learning and Feedback Module, and Enterprise Intelligence Dashboard. The system collects information from multiple organizational sources, evaluates contribution relevance and credibility, identifies patterns, consensus, contradictions, and emerging opportunities, and generates actionable recommendations for strategic, tactical, and operational decisions. An adaptive learning mechanism continuously improves intelligence extraction and recommendation accuracy by incorporating decision outcomes and stakeholder feedback. The invention further enables expertise mapping, organizational knowledge visibility, cross-functional intelligence integration, and reduction of information silos. By transforming fragmented knowledge assets into structured decision intelligence, the system enhances decision quality, organizational agility, innovation capability, resource optimization, and overall enterprise performance. The invention provides a scalable and comprehensive framework for leveraging collective organizational wisdom to Q) support evidence-based, transparent, and effective decision-making across diverse industry sectors
Disclaimer: Curated by HT Syndication.
