David Lotan Bolotnikoff, VP Product, Logz.io Kevin Klein, AI Engineer, OrionIQ RCA Lead, Logz.io
What we discuss in the webinar:
Logz.io’s blueprint for cutting investigation time and what happens when you put an AI agent on top of it. Why incidents still take too long. The real reason isn’t the bug. It’s what happens before you even find it. The framework that changes it. Four steps. The order matters more than you’d think. AI that shows its work. A live demo, including the moment we pushed back on it. What to do on Monday. Concrete next steps. No purchase required.
From Raw Telemetry to Actionable RCA — Watch the Recording | Logz.io
Want to see this on your own data?
The “wow” never happens in our demo. It happens when you see OrionIQ on your own telemetry. Book a working session and we’ll set it up with your stack.
Because they get deployed on top of a process that was already broken. Automating a messy investigation doesn’t produce cleaner results, it just produces wrong answers faster. The session covers what needs to be in place first, and why the teams that see real value from AI are the ones who already had a consistent method.
Orient, Isolate, Hypothesize, Verify. Orient means putting everything on one timeline: logs, metrics, traces, deploys, config changes, runbooks, and past incidents. Isolate means finding what changed. Hypothesize means ranking suspects by evidence, not gut feeling. Verify means confirming before touching production. The order matters more than most teams expect.
A summary tool describes what it sees. An investigation agent follows a method, defends its reasoning when challenged, pulls context from runbooks and past incidents, and waits for human approval before acting. The demo shows both the difference and the moment the speakers pushed back on the agent’s answer to see how it responded.
The agent investigates and recommends but cannot touch production without a gate you control. Every action is logged with the full reasoning behind it. You set the approval rules, and you own the record. The session covers how teams earn their way to higher autonomy levels over time, and why skipping ahead is where things go wrong.
