Inside the Shift to Agentic IT Ops - with Assaf Resnick of BigPanda

2026-07-03 · Source: The AI in Business Podcast · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Assaf Resnick, CEO and Founder of BigPanda, discusses how agentic AI can revolutionize enterprise IT operations, addressing the overwhelming alert volumes generated by modern cloud environments, microservices architectures, and CI/CD pipelines. He proposes a strategic shift from reactive troubleshooting to a prevention-first model, fundamentally built upon an enterprise IT knowledge graph. The conversation details the process of constructing and maintaining this critical knowledge graph, delineates the specific areas where human judgment remains indispensable within the incident response workflow, and advocates for an evolutionary, phased rollout approach over a complete system overhaul to integrate these advanced AI capabilities effectively into existing systems. This approach aims to mitigate the challenges human operators face in processing the sheer volume of alerts.

Key takeaway

For IT Operations Managers struggling with alert overload, adopting agentic AI offers a path to proactive incident prevention. You should prioritize developing an enterprise IT knowledge graph as the foundation for this shift. Integrate AI incrementally, ensuring human judgment remains central for complex incident response decisions. This strategy allows your team to move beyond constant firefighting, improving system stability and operational efficiency.

Key insights

Agentic AI, powered by an IT knowledge graph, enables a prevention-first approach to IT operations.

Principles

• Build an enterprise IT knowledge graph.
• Preserve human judgment in incident response.
• Favor evolutionary AI rollout.

Method

Implement agentic AI to process IT alerts, leveraging an enterprise IT knowledge graph to shift from reactive troubleshooting to proactive prevention, while integrating human oversight for critical decisions.

In practice

• Start building an IT knowledge graph.
• Identify incident response points for human review.
• Plan phased AI system integration.

Topics

• Agentic AI
• IT Operations
• Knowledge Graphs
• Incident Response
• Cloud Microservices
• CI/CD Pipelines

Best for: CTO, VP of Engineering/Data, Director of AI/ML, IT Professional, MLOps Engineer, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI in Business Podcast.