From Hypotheses to Answers: Live Demo of the Ciroos AI SRE Architecture

May 20th | 1 PM EST / 10 AM PST

The enterprise is facing a reliability inflection point. Teams are trying to scale operations by building in-house AI scripts or deploying basic chatbots that summarize logs. But optimizing solely for speed—without deep system understanding—only creates more downstream toil.

To truly improve reliability and prevent recurring incidents, enterprise teams must move beyond disconnected log analysis and build a foundation of operational understanding.

In this product-focused session, Ananda Rajagopal, Co-Founder and CPO at Ciroos, and Kyle Shelton, Founding Forward Deployed Engineer at Ciroos, explore the architectural requirements for scaling AI in production environments.

What we’ll cover:

• Toil is a symptom. Why deep environmental understanding is required to achieve true reliability, and why "do nothing" is no longer a viable strategy.
• The hidden costs of DIY. Why scaling a secure, multi-agent infrastructure requires more than a weekend project wired to an LLM API.
• From hypotheses to answers. Why AI must span all domains (cloud, network, application) to eliminate guesswork and provide verified root-cause analysis.

Following the breakdown, Ananda and Kyle will give a live, unfiltered demo of the Ciroos platform, showcasing how our multi-agent architecture securely traces root causes across complex enterprise environments.