AI operations intelligence

Turn Technical Support Tickets into Actionable Investigations.

OpsRabbit investigates technical incidents from your helpdesk by connecting the ticket to relevant application, infrastructure, deployment, and operational evidence.

See How It Works

No need to replace your existing monitoring or helpdesk tools.

Engineers review findings, make decisions, and approve actions where required.

From Reported Problem to Reviewable Findings

  1. A technical incident ticket is created.
  2. OpsRabbit identifies reported symptoms and the affected service.
  3. It gathers evidence from connected systems within configured access.
  4. It correlates potential causes and records supporting evidence and gaps.
  5. Findings and recommended next steps return to the incident workflow where configured.

Illustrative workflow. Available evidence and actions depend on the connections and policies configured for your environment.

Less Back-and-Forth. Better Diagnostic Evidence.

Reduce Repetitive Investigation

Gather technical context without repeatedly asking engineers to search across tools.

Improve Escalations

Give the next responder symptoms, affected services, supporting evidence, and what still needs validation.

Preserve Investigation Context

Keep findings and next steps in the incident workflow where ticket updates are configured.

Connect Your Helpdesk to Technical Evidence

Connect Jira, ServiceNow, and Zendesk for ticket context and investigation updates where configured. Confirm the events, fields, permissions, and write actions needed for your workflow during the demo.

Ask us to validate your Jira Service Management or Freshservice workflow during the demo.

Review ITSM Integrations →

Give Support the Context Engineering Needs

Start with the Reported Problem

Use the ticket description, affected application, reported symptoms, impact, and incident window to scope the investigation. Missing service or timing details remain explicit questions.

Gather Technical Context

Use permitted connections to review telemetry, infrastructure and Kubernetes configuration, deployments, code changes, service dependencies, and relevant incident history.

Return a Useful Engineering Handoff

Bring together likely causes, supporting evidence, alternative explanations, missing information, validation steps, and escalation context. Preserve findings in the ticket where updates are configured.

From “Checkout Is Broken” to a Focused Investigation

A support ticket says: “Customers cannot complete checkout.” The report describes a symptom; it does not yet identify the failing service.

The Manual Investigation

Support asks for timestamps and reproduction details, finds the service owner, checks monitoring, and asks engineering to review recent deployments. Context is rebuilt as the ticket changes hands.

The OpsRabbit Investigation

OpsRabbit uses the available ticket details to scope the affected service, gather connected telemetry, and compare recent deployment and configuration changes with the reported incident window.

The team receives a reviewable hypothesis with evidence and gaps, rather than only a rewritten ticket summary.

An Example Finding

Hypothesis: a recent configuration change may be contributing to checkout failures.

Evidence to check: when errors began, which dependency is failing, and whether the configuration change affects that dependency.

Next step: validate the hypothesis before approving mitigation or escalating with the gathered evidence.

Illustrative example, not a customer result. A reported symptom or a nearby deployment is not proof of causation.

Automate the Investigation Work. Keep People in Control.

OpsRabbit gathers and correlates evidence within the connections and permissions available to the investigation. Engineers assess the findings and choose the resolution path.

  • Incomplete tickets: keep missing service, timing, impact, or reproduction context visible for follow-up.
  • Uncertain findings: distinguish observed evidence from likely causes and identify what would confirm or rule out a hypothesis.
  • Workflow updates: agree which ticket fields and notes may be written before enabling updates.
  • Production actions: diagnostic and remediation actions follow configured permissions, sandbox boundaries, and approval policies.
Review Security and Governance →

Evaluate a Real Support Workflow

Start with a recurring technical incident type and one connected service. Compare the current investigation with an OpsRabbit-assisted workflow using the same agreed scope.

  • Engineering minutes spent gathering evidence per ticket.
  • Time to the first useful, evidence-backed hypothesis.
  • Completeness of escalations and repeated requests for context.
  • Quality of retained findings and recommended validation steps.

Measure full incident resolution separately from time to an initial hypothesis. Agree the baseline and success criteria during the demo.

One Investigation Engine for Alerts and Tickets

Use the same evidence-driven workflow whether an incident begins in monitoring or at the helpdesk.

Explore Alert-Driven RCA →

See what your team could stop doing manually.

Bring an alert or a technical support ticket. Walk through the evidence, likely causes, and next steps with us.