MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123197 A) filed by Chetan Gowdihalli Rajappa; and Thrupti Shyagale Mallikarjunappa, Bangalore, Karnataka, on Dec. 6, 2025, for 'agentic ai collaborative resolution environment (cre) for multi-agent itsm automation.'
Inventor(s) include Chetan Gowdihalli Rajappa.
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 Multi-Agent and Agentic AI Collaborative Resolution Environment (CRE) implemented on computing infrastructure comprising processors, memory, telemetry interfaces, and orchestration actuators for automating ITSM incident resolution through collaborative autonomous agents that ingest multimodal telemetry, generate hypotheses with contextual reasoning, and negotiate resolution paths via weighted consensus protocols prioritizing operational indicators including anomaly severity, performance impact, dependency criticality, business relevance, and rollback complexity while treating SLO risk as a lagging metric. The system implements dynamic agent lifecycle management with processor-controlled spawning upon anomaly threshold detection, merging when hypothesis-convergence algorithms identify redundant analysis paths, and dissolution when responsibility scores indicate diminished relevance. An explainability subsystem generates immutable transcripts with cryptographic integrity mapping each automated action to agent evidence, reasoning dialogues, and consensus scores stored on tamper-proof ledgers. A runbook generator synthesizes machine-executable YAML/JSON plans with rollback logic, precondition validation, contextual justifications, and human approval gates executed through orchestration APIs controlling production infrastructure. Adaptive feedback loops implement reinforcement learning algorithms recalibrating utility weights and agent trust scores based on post-incident outcomes and operator feedback, enabling tangible operational improvements including reduction in MTTR, improvement in change reliability, proactive SLO protection, and verifiable audit trails supporting ITIL, ISO 20000, SOX, HIPAA, and GDPR compliance. This invention is not a computer program per se, but a hardware-anchored AI control system."
Disclaimer: Curated by HT Syndication.
