Why We Built the Komodor Agentic Operations Platform: Q&A with CEO Ben Ofiri

Komodor CEO Ben Ofiri describes the company’s Agentic Operations Platform as an extension of its AI SRE work, designed to help medium and large enterprises build, deploy, govern, evaluate, and optimize AI agents for operational tasks such as incident response, troubleshooting, and cost management. He argues that while enterprises increasingly seek agentic automation for DevOps and SRE, moving agents from prototypes into production introduces major challenges involving governance, visibility, reliability, performance measurement, and token-related costs. Komodor positions its platform between closed, vendor-provided AI SRE products that may be difficult to customize and generic agent frameworks that require organizations to develop integrations, workflows, evaluation methods, and operational expertise themselves. The platform offers prebuilt SRE agents alongside tools for importing or creating custom agents, selecting deployment locations, enforcing policies, running evaluations, and optimizing costs. Ofiri attributes the approach to a combination of AI expertise and practical SRE knowledge, emphasizing that regulated organizations often require auditability and human oversight. He predicts that over the next two to three years, AI will automate much of operational work, particularly incident detection, investigation, and triage, while some remediation will continue to require human involvement.

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