Detect and propose
It surfaces likely issues and drafts a concrete remediation you can review before acting.
AI
AIOps
Detect, propose, and on your approval, remediate
Your AIOps autopilot watches services, spots issues early, and proposes a fix you can read before anything happens. On your approval it carries out self-healing actions like restart, rescale, or roll back, each wrapped in cooldowns and approval gates. It is opt-in and guarded, so you stay in control of every action it takes.
- Issues caught and surfaced for review before they escalate into outages
- Every remediation action tied to an explicit approval and recorded permanently in the audit trail
- Autopilot scope stays bounded by per-service opt-in, so you decide what it can touch
The problem
When a service degrades, you either catch it too late or hand remediation over to a tool that acts without asking. In a governed environment neither is acceptable. You need something that spots problems early, drafts a specific fix you can read, and waits for your sign-off before touching anything.
Without IntegraCI
- Degrading services caught after impact, not before
- Remediation is manual and reactive under pressure
- Automated tools that act without your knowledge or approval
- No trace of what ran, when, or why
With IntegraCI
- Health signals surface early with a concrete proposed fix ready to review
- Every action waits for your explicit approval before it runs
- Cooldowns prevent the autopilot from firing repeatedly on the same signal
- Each approval decision and action outcome recorded in the audit trail
What you get
Guarded self-healing
Restart, rescale, or roll back run only after your approval, with cooldowns preventing repeat firing.
Approval gates
Every action passes through a gate you control, so nothing changes without your sign-off.
Opt-in by design
Autopilot stays off until you enable it per service, keeping you in charge of scope.
How it works
- 1
Detect signal
The autopilot reads health signals and identifies a service that needs attention.
- 2
Propose remediation
It drafts a specific fix and presents it to you for approval.
- 3
Act on approval
On your sign-off it runs the action under cooldown and records the outcome.
How it stays governed
The same gates everyone passes, applied here.
Gated by policy
Each proposed remediation is evaluated against policy as code before it can execute. The autopilot cannot restart, rescale, or roll back a service outside the bounds you define, and opt-in scope limits which services it can act on at all.
Recorded, tamper-evident
Every detection, proposal, approval decision, and executed action writes once to a tamper-evident audit trail. You can show exactly what the autopilot observed, what it proposed, who approved, and what it did, with the full sequence intact.
A human in the loop
Restart, rescale, and roll back are state-changing actions. The autopilot presents a concrete proposal and holds until a person signs off. Nothing runs without explicit human approval.
Works with your stack
Connect the tools you already run.
The autopilot reads from observability sources to detect signals and acts on deploy and infrastructure targets to carry out approved remediations.
- Apple
- Argo Project
- AWS
- Cloudflare
- CNCF
- Coder
- Crunchy Data
- Daytona
- Env0
- Keycloak
- MongoDB
- Okta
- OutSystems
- Pulumi
- Rancher
- Red Hat
- Sonatype
- +13 more
Who it’s for
Where teams reach for it.
Catch memory pressure before it causes an outage
When a service shows sustained memory growth, the autopilot flags it and proposes a restart. You review the signal and the proposed action, approve it, and the restart runs under a cooldown that prevents repeat firing.
Scale a service during unexpected load
A sudden traffic spike pushes a service past its comfortable operating range. The autopilot proposes a rescale, you approve it, and the action executes without requiring a person to find the right knob under pressure.
Roll back a bad deploy without a manual process
A recent deploy degrades service health. The autopilot detects the drop, proposes a rollback to the previous version, and waits for your sign-off before making any change.
Questions, answered.
Does AIOps act on its own?
No. The autopilot detects issues and proposes a fix, but every state-changing action (restart, rescale, rollback) requires a person to approve it first. It never acts autonomously.
Which services does it monitor?
Only the services you opt in. Autopilot is off by default and must be enabled per service, so you control exactly what falls within its scope.
What actions can it propose?
Restart, rescale, and roll back are the defined action types. Each runs under a cooldown after approval, so the same action cannot fire repeatedly on the same service without a new proposal and sign-off.
How do I know what it did?
Every detection, proposal, approval, and executed action is written to a tamper-evident audit trail. You have a permanent record of what the autopilot observed, what it proposed, who approved, and what ran.
Put AIOps on your stack.
Request a demo, or read the docs to see how it fits the tools you already run.