The first self-learning AI SRE agent
Tuesday, December 16, 2025 @ 4pm ET / 1pm PT
Join us as we learn
The promise of an AI SRE is compelling: an autonomous system that investigates and resolves these issues without human intervention. But the gap between a proof-of-concept demo and a reliable production system is vast.
The reality is that there hasn’t been a single solution to AI SRE because there isn’t a single type of production failure. That’s why Cleric is always learning and always adapting, designed to autonomously manage, optimize, and heal software infrastructure.
In this webinar, we’ll dive deep on AI SRE challenges, how engineers can change their approach to these new AI tools, and the ways Cleric empowers them to do so.
Register now
Why this session matters
The constant stream of alerts, tickets, and incidents that require investigation grinds down even the best teams. Shahram and Willem saw this pain in their own engineering teams when they were both at Gojek.
Senior engineers were spending half their time on operational firefighting, rebuilding the same understanding from scratch every time an issue arose.
Humans aren’t meant to keep all this operational state in their heads. We can’t context-switch between deep work and debugging without losing hours to regaining focus. And this problem is getting worse as AI-generated code accelerates the pace of production changes.
Enter the AI Site Reliability Engineer (AI SRE): It acts as an agent that continuously monitors and learns an organization’s system and triages and resolves issues. Unlike static runbooks or traditional automation, agents can handle novel situations they haven’t been trained on by reasoning through them from first principles.
But most attempts at making reliability more efficient with AI have a data problem. They focus primarily on major incidents only. But those events are rare, so they don’t give AI SREs enough data to learn effectively.
We took a different approach with Cleric. We maximize learning by focusing not just on major incidents, but everyday issues, too. This incremental autonomy leaves humans in charge.
Cleric is a true AI SRE teammate. It investigates, collaborates, and learns from every production issue, continuously improving reliability across your systems.
Register now to join the conversation–and see Cleric in action.
