AI operations intelligence

Stop Investigating Incidents Manually.

OpsRabbit investigates IT alerts and support tickets automatically—finding likely root causes across your existing tools, so your engineers can resolve problems faster.

  • Save engineering time
  • Faster RCA
  • Keep existing tools
See How It Works

No need to replace your existing monitoring or helpdesk tools.

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

Illustrative likely causeExample
ledger-db pool exhausted after deploy v2.18.3
payments-api · example
Click anywhere to drop an incident 0 examples explored
90%
Faster mean time to resolution
3–5min
From first alert to root cause. It used to take 30–45.
60%
Lower operational cost for IT operations teams
<2wks
To a live pilot, with ROI inside 30 days
The problem

Every incident is a
rabbit hole.

An alert or support ticket arrives. Your team searches dashboards, logs, deployments, and past incidents. OpsRabbit reduces that repetitive investigation work.

Illustrative finding · engineer review required
ledger-db connection pool exhausted after deploy v2.18.3 lowered DB_POOL_MAX from 50 to 10.
Evidence gathered Review next
How it works

From Alert or Ticket to Likely Cause.

One investigation workflow gathers evidence across your existing systems and recommends next steps. Scroll through an illustrative example.

HOP 01 · DETECT

An alert or ticket opens a thread.

An alert, ticket, chat message or scheduled check starts an investigation and assigns an agent. Duplicate pages fold into one.

HOP 02 · SCOPE

It knows where it is.

The Service Knowledge Graph supplies the service, owner, dependencies, severity and likely blast radius.

HOP 03 · COLLECT

Five burrows at once.

Specialised agents gather logs, metrics, traces, changes and tickets in parallel, using read‑only access.

HOP 04 · REASON

Evidence becomes an answer.

Signals are correlated into a likely cause, with a confidence level and what’s still missing, and matched against past incidents.

HOP 05 · ACT

A safe next step.

You get the next commands, a rollback path and a handoff summary. Anything that changes state waits for human approval.

SEV‑2Payments API · p99 latency
00:00
PD
PagerDuty · inbound · 02:14:07
payments-api p99 > 2.4s for 5 min in prod-us-east. Error rate 3.1%. 42 related alerts folded into this thread.
OpsRabbit · investigation agent
Thread INC‑2291 opened. Pulling service context and recent changes. Gathering evidence for engineering review.
#inc-paymentsServiceNow INC0049on-call: team-checkout
OpsRabbit · scope from Service Knowledge Graph
service
payments-api · tier‑1
owner
team-checkout · @maria
depends on
ledger-dbauth-svcfraud-scorerredis-session
blast radius
checkout, refunds · ~14% of txns
last change
deploy v2.18.3 · 38 min ago
OpsRabbit · 5 agents in parallel · read‑only
Logs2,140 lines
Metrics18 series
Traces312 spans
Changes3 deploys
Tickets2 similar
Notable: traces show 1.9s waiting on ledger-db.acquire(). Deploy v2.18.3 changed DB_POOL_MAX 50 → 10.
OpsRabbit · correlated 5 evidence sources
Likely root cause
Connection pool exhaustion on ledger-db, introduced by deploy v2.18.3 lowering DB_POOL_MAX from 50 to 10.
confidence87%
Matches INC‑1874 (March): same signature, resolved by restoring the pool size. Missing: the ledger-db slow‑query log.
OpsRabbit · recommended next action
$ kubectl rollout undo deploy/payments-api -n prod # → v2.18.2
Approve rollbackEdit planEscalate to DBA
Handoff posted to #inc-payments and ServiceNow, with evidence links, commands run, owner and open questions.
p99 back to 180ms · resolved in 03:42
Time to root cause

Less investigation work. Faster resolution.

Illustrative workflow: gather evidence across tools manually, or let OpsRabbit collect and correlate it for review.

Findings ready for review
Manual triage0%
TriageCollectDiagnoseRecommendVerify
OpsRabbit0%
Less effort

OpsRabbit gathers evidence in parallel. Engineers review likely causes and decide what happens next.

The platform

Save Engineering Time. Keep Your Existing Tools.

Alerts and technical support tickets use the same investigation engine to connect telemetry, infrastructure, deployments, and incident history.

01 · TRIAGE

AI Incident Triage

Reads alerts and technical support tickets with service context, ownership, and recent changes.

02 · DIAGNOSE

Root Cause Analysis

Correlates available evidence into likely causes, with confidence, gaps, and validation steps.

03 · ATTRIBUTE

Change Intelligence

Ties deploys, PRs, config drift and pipeline events to the incident they caused.

04 · FOCUS

Alert Noise Reduction

Deduplicates and groups alerts, so responders see incidents instead of pages.

05 · PLAN

Dynamic Work Plans

Generates runbooks that agents run in parallel, with gates where they matter.

06 · COLLABORATE

Chat Investigations

Shared threads in Slack and Teams, with progress, evidence and clean handoffs. Ask in plain English and get receipts back.

07 · INTAKE

Inbounds & Voice

Alerts, email, webhooks, chat and phone calls are routed to the right agent.

08 · ROUTINE

Scheduled Jobs

Recurring checks, hygiene tasks, audits and automated investigations.

09 · ACT

Recommended Actions

Commands, change plans, rollback guidance and escalation notes, all backed by evidence.

10 · COMPOSE

Agent Operating Model

Skills define the procedure, tools take the action and connections grant scoped access.

Service Knowledge Graph

Connect the Evidence. Find the Likely Cause.

Connected service dependencies, ownership, recent changes, and past incidents give investigators context beyond a single dashboard.

Dependency viewBlast radius in seconds, without a whiteboard session.
Change lineageWhich deploy, PR or config touched what, and when.
Operational memoryIncident fingerprints become facts, skills and scheduled checks.
payments-api
owner
team-checkout
last change
v2.18.3 · 38m ago
depends on
auth-svc, fraud-scorer, ledger-db
incidents
2 in 90 days
Solutions

Built for everyone who keeps production running.

OpsRabbit for

01

The challenge

02

With OpsRabbit

03

The impact

04

Getting started

Typical first workflows
Enterprise control

Fast. Never reckless.

Speed means nothing without control. OpsRabbit runs inside your boundary and is read‑only by default. Every risky action is gated, sandboxed and logged.

01
Your infrastructureSaaS, your VPC or fully on‑prem. Agentless, with no daemons to install.
02
Approval gatesA human signs off on anything that changes state.
03
Execution sandboxCommands, attachments and external calls run inside policy, with scoped credentials.
04
Read‑only by defaultPre‑approved diagnostic commands only. Evidence is collected without touching production.
SSO & RBACTenant isolationApproved model providersAudit trailTrusted plugins
Integrations

Burrows into your entire stack.

Thirty tools, one investigation. Hover any of them to see what OpsRabbit reads, and what it writes back.

30 integrations6 categories
OpsRabbit readsSignals, context and history from every tool your team already uses.
Writes backNotes, tickets and threads, with approval where it matters.

Quick setup

Connect your tools in minutes with a guided, point‑and‑click flow.

Bidirectional sync

Findings flow back to tickets, chats and dashboards in real time.

No code required

Set scopes, approvals and routing without writing a line of code.

Bring your own

APIs, MCP servers, collectors and plugins for anything custom.

Industries

Every minute down has a price.

Pick your industry and see what an incident costs, and what four minutes instead of forty‑five is worth.

Incident in progress00:00
Cost of downtime so far
$0
$50,000 per minute · $3 million estimated per year
Automotive Manufacturing
One incident, two outcomes
Manual triage~45 min
$2.25M
With OpsRabbit~4 min
$200K
Saved on every incident$2.05M
Why MTTR matters

Cost per minute and annual figures are industry estimates published by OpsRabbit. Savings are illustrative: cost per minute × time to root cause (about 45 minutes manually, about 4 with OpsRabbit).

Why OpsRabbit

The models are standard. The investigation logic is not.

OpsRabbit is built by operations leaders behind some of the category’s defining products. It encodes 25 years of pattern recognition into every investigation.

2003Service impact managementSIM joins BMC via IT Masters.
2007Proactive monitoringProactiveNet joins BMC.
2008Remediation automationBladeLogic joins BMC.
2019Opex / REAN exitAcquired by Hitachi.
TodayOpsRabbitInvestigation, not just observation.
Get started

Your next incident is already on its way.

Bring an alert or technical support ticket. See how OpsRabbit gathers evidence, identifies likely causes, and helps engineers decide what to do next.

Start with one service Agree pilot success criteria Dedicated support