From answering questions to running investigations

Most real observability questions don’t have a single-source answer. The context is spread across logs, metrics, deployments, and the other systems you run. A one-shot reply can summarize. It can’t investigate.

When you ask OrionIQ something involved, it plans an approach and delegates to specialized agents, one for logs, one for metrics, one for your connected integrations, then brings their findings together into a single, structured answer.

And it never asks you to take that on faith. You can watch the whole investigation as it happens:

• Step by step, in plain language. Each action appears as OrionIQ works, like “Exploring logs” or “Measuring metrics,” grouped by the agent doing it, with a running timer.
• Open to the raw detail. Expand any step to see the exact query it ran and what came back.
• At your pace. Choose Fast for a quick, direct answer or Advanced for a deep investigation. You set the trade-off between speed and depth every time you ask.

Because each investigation is saved as it runs, you can navigate away, refresh, or come back later and pick up exactly where you left off.

Answers you can trust, and verify

This is what makes OrionIQ different, and it matters most when the stakes are high.

Every finding is tied to the telemetry OrionIQ actually examined. When an answer involves a trend, a distribution, or a ranked list, OrionIQ shows it inline as a chart, a log histogram, or a table built from your real data, instead of describing it in words. Each visual carries a one-click link to the exact query behind it, opened directly in Logz.io, so the evidence is always one click away.

Just as important, OrionIQ knows the difference between a supported conclusion and a guess. It tracks the evidence each finding rests on, and when that evidence is thin or missing, it lowers its own confidence and says so. A root-cause claim the data doesn’t support is downgraded to a probable cause, with the gap called out. OrionIQ would rather tell you it isn’t sure than sound certain and be wrong.

Grounded in your environment

OrionIQ investigates your systems, not a generic idea of one.

• It picks up what you’re already looking at. Your current view, filters, query, and time range come into the conversation without you restating them. Point it at a specific log line or exception and ask it to investigate in a single step.
• It reaches into your connected systems. Beyond logs and metrics, OrionIQ can pull context from the tools you’ve connected, like Slack, Jira, Confluence, and GitHub, so an investigation reflects how your environment actually runs.

Every system you connect makes the next answer richer and more grounded in your reality.

Built for real incident work

• Durable and resumable. Investigations survive navigation and refresh, and long-running ones resume on their own. Start a second investigation while the first keeps working.
• Persistent history, so past investigations are one click away.
• One-click export to Markdown, so an answer moves straight into an incident doc, a Slack thread, or a post-mortem.
• Stop anytime. If an investigation heads the wrong way, stop it in place and redirect, without breaking the conversation.

Turn findings into action

When OrionIQ surfaces something worth acting on, you don’t have to leave the conversation. Turn the source behind an answer into a new alert, or add it as a dashboard panel, in a click, prefilled from exactly what OrionIQ found.

Enterprise-grade by default

OrionIQ can only ever access the accounts you’re authorized for, and every external system it reaches is access-controlled. Each run is cost-governed, with token usage visible in the chat. The safeguards are built into how the agent runs, not layered on top.

Available now

OrionIQ Chat is rolling out to Logz.io customers inside Open 360 AI, starting in the Explore experience and expanding across the platform. It’s the same chat you’ll find inside OrionIQ.

Coming next: one-click deep-links for more providers including Datadog (OrionIQ can already investigate across Logz.io and Datadog data), richer inline visuals, and OrionIQ in more of the places your team already works.