Uploaded December 2025 | Updated September 2026, 2 days ago
At AWS re:Invent 2025, WorkOS CEO Michael Grinich sits down with Ronak Desai, Co-founder & CEO of Ciroos, to explore how AI agents are reshaping the future of reliability engineering.
Ciroos builds multi-agent systems designed to dramatically reduce toil for SRE, DevOps, IT Ops, and production engineering teams. Instead of digging through dashboards, logs, and fragmented tooling, Ciroos agents investigate incidents, determine root causes, surface remediation steps, and help teams fix issues faster, all while keeping humans in the loop.
In this conversation, Ronak Desai shares:
• Why MTTR has barely improved despite decades of monitoring and observability tools
• How Ciroos brings intelligence to the data, rather than centralizing everything into one platform
• Why enterprises are adopting AI agents faster than expected
• How AI-native startups can now reach enterprise maturity in under a year
• Why 2025 marks the tipping point for operational AI agents — and what full autonomy might look like
• How increased developer velocity from AI coding tools is accelerating the need for AI-driven ops
Ciroos launched just nine months ago and is already deployed in large enterprise production environments, a sign of how quickly the operational landscape is shifting.
At AWS re:Invent 2025, WorkOS CEO Michael Grinich sits down with Ronak Desai, Co-founder & CEO of Ciroos, to explore how AI agents are reshaping the future of reliability engineering.
Ciroos builds multi-agent systems designed to dramatically reduce toil for SRE, DevOps, IT Ops, and production engineering teams. Instead of digging through dashboards, logs, and fragmented tooling, Ciroos agents investigate incidents, determine root causes, surface remediation steps, and help teams fix issues faster, all while keeping humans in the loop.
In this conversation, Ronak Desai shares:
• Why MTTR has barely improved despite decades of monitoring and observability tools
• How Ciroos brings intelligence to the data, rather than centralizing everything into one platform
• Why enterprises are adopting AI agents faster than expected
• How AI-native startups can now reach enterprise maturity in under a year
• Why 2025 marks the tipping point for operational AI agents — and what full autonomy might look like
• How increased developer velocity from AI coding tools is accelerating the need for AI-driven ops
Ciroos launched just nine months ago and is already deployed in large enterprise production environments, a sign of how quickly the operational landscape is shifting.
