AI-powered automation lowers costs, increases resiliency, improves customer experiences, and empowers IT teams to scale incident response without growing headcount.
BigPanda, the recognized leader in agentic IT operations, announced a major expansion of its product capabilities with the launch of the BigPanda Agentic IT Operations Platform. This groundbreaking platform is engineered to automate time-consuming, manual workflows in IT operations (ITOps) and incident management, ushering in a new era of autonomous operations.
The latest release includes two powerful AI-driven solutions:
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BigPanda AI Detection and Response (ADR): An autonomous AI agent purpose-built to handle the repetitive detection and response tasks of Level 1 (L1) operations teams.
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BigPanda AI Incident Assistant: A real-time decision-making and automation partner designed to support incident response teams during critical moments.
Both innovations are fueled by the BigPanda IT Knowledge Graph, a purpose-built intelligence layer that drives an AI-first data strategy for ITOps. By integrating structured IT data with unstructured insights—such as chat logs and bridge call transcripts—the Knowledge Graph forms the foundation of the new agentic platform. This unified, context-rich data model empowers organizations to automate the full incident lifecycle and seamlessly coordinate across centralized Ops and decentralized DevOps teams.
“There are $200 billion worth of manual ITOps workflows that are ripe for intelligent automation,” said Assaf Resnick, CEO of BigPanda. “With agentic ITOps, we’re helping enterprises move beyond manual, slow incident management toward intelligent systems that free up talent and reduce operating costs.”
Advancing AI-Driven Detection and Response for ITOps Teams
According to industry analysts, enterprises spend more than $200 billion annually on L1 support alone—much of it on manual, reactive incident response that hampers scalability and innovation.
BigPanda aims to change this by replacing inefficient, reactive processes with intelligent, autonomous workflows powered by agentic AI—a form of AI that enables systems to operate independently, make informed decisions, and continuously learn from experience. These AI agents collaborate with human teams to proactively detect, diagnose, and resolve incidents at machine speed.
AI Detection and Response (ADR) automates the entire L1 workflow, identifying issues early, conducting AI-driven diagnostics, and executing precise responses—all without the need for manual rules or data curation. The system evolves over time through real-time feedback and historical learning.
“Agentic IT operations is a complete reimagining of the L1 function,” said Fred Koopmans, Chief Product Officer at BigPanda. “Our AI doesn’t just detect, it understands. It acts. And most importantly, it learns from every incident to improve over time.”
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Boosting Incident Response with AI Incident Assistant
AI Incident Assistant serves as a real-time partner for incident commanders, L2 engineers, site reliability engineers (SREs), and service owners, enabling faster investigation and resolution of complex issues. It consolidates fragmented institutional knowledge from siloed systems and teams to provide immediate insights into what’s happening, why it’s happening, and how to resolve it.
This reduces reliance on prolonged bridge calls, minimizes escalations, and turns untapped knowledge—such as conversations, tickets, and chat threads—into actionable intelligence.
“AI Incident Assistant helps our customers eliminate the chaos of complex incidents,” said Koopmans. “Instead of scrambling for answers, response teams get agentic support that anticipates needs, suggests actions, and documents outcomes.”
The Core Differentiator: BigPanda IT Knowledge Graph
At the heart of BigPanda’s platform lies the IT Knowledge Graph, a real-time intelligence engine that aggregates and links disparate IT data across large enterprises. This includes structured data like telemetry and service tickets, as well as unstructured sources such as runbooks, chats, and bridge call logs.
Unlike legacy IT systems that demand curated, structured data, the IT Knowledge Graph is designed to ingest and learn from incomplete, informal, and siloed information—mirroring real-world enterprise environments.
“Traditional IT systems & processes only act on a narrow slice of observability or IT service management data,” said Resnick. “The IT Knowledge Graph gives our platform a panoramic view. It sees across silos, learns from institutional experience, and adapts in real-time, even when the data isn’t perfect.”
With this comprehensive view, BigPanda delivers capabilities that go far beyond conventional monitoring tools—from detecting previously missed incidents to recommending solutions based on archived conversations and undocumented fixes.
“BigPanda represents a timely and transformative advancement for enterprise IT,” said Mike Cervasio, Global Practice Manager for Observability and AIOps at World Wide Technology. “By delivering scalable, enterprise-ready AI that integrates seamlessly into existing environments, BigPanda enables a fundamental shift in how organizations manage IT operations towards greater confidence, control, and agility.”
Ushering in a New Era of Enterprise IT Operations
The BigPanda Agentic IT Operations Platform is designed to help enterprises significantly reduce operational costs by addressing:
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Rising personnel expenses caused by repetitive L1/L2 tasks and avoidable escalations.
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High managed service provider (MSP) costs driven by ticket volume rather than incident prevention.
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The misallocation of strategic engineering resources diverted from innovation to firefighting.
With its agentic AI solutions and unique IT Knowledge Graph, BigPanda empowers organizations to modernize ITOps, streamline operations, and scale incident management in a way that traditional tools cannot.