An AI analyst for production incidents.

It investigates alerts across logs, metrics, and deployment history, then brings your engineers the evidence.

Have an alert in mind?

Let's shape the first job around your alerts and incident process.

We'll reply personally to plan the first job.

Read logs, metrics, and service records for the affected time window.

An incident timeline

Compare deployments and configuration with the symptoms, noting what remains uncertain.

Likely causes with evidence

Bring back findings, open questions, and proposed next steps.

Your engineers change production

Example role. We configure the process and read-only access with your team.

These are possible connections for the AI employee’s work. You choose what it needs; we assess whether and how to connect each tool during setup.

This example uses read-only access. Your team handles changes.

Monitoring tools
Read logs and metrics around the alert.
Cloud and deployment records
See which settings or releases changed before the incident.
Slack or email
Bring findings and open questions to the service owner.

We build the handbook alongside your team, using your standard operating procedures, examples, and preferences.

Start with an editable default process or bring your own. We adapt it together, then try it on your work.

Example pages we can shape with your team.

Tell us what you want a cloud operations analyst to take on and how your team handles it today. We’ll discuss fit and the setup support you need.