Don't just answer the alert. Fix the root cause.
AI-Ops investigates every alert like your best engineer, finds the underlying cause, and fixes it on your approval — in minutes, around the clock.
- Read-only by default
- You approve every fix
- Bring your own LLM
Current state Queue normal since 08:42 UTC
- Spike 08:30–08:41, peak 4.2 (threshold 2.0)
- Correlates with index rebuild job
DBA_IndexMaint - KB match: CONFL-KB-042 (maintenance alerts)
Recurring 12 in 30d · trend escalating +18%/wk
Root cause Job exceeds the maintenance window since the upgrade
→ Recommend a Problem ticket to fix it permanently
Your team is buried in repetitive alerts
Incidents are most of your ticket volume, yet a small slice of real engineering value. The noise piles up, the cause never gets fixed, and it comes back.
A relentless, around-the-clock stream
The vast majority of alerts arrive straight from monitoring — day and night, hitting the same hosts again and again.
The root cause never gets fixed
Tickets stack up, the underlying issue is never removed, and the same noise keeps coming back next week.
Senior time on the wrong work
Your DevOps and infrastructure engineers spend the day triaging and documenting instead of solving hard problems.
We don't just clear the alert. We fix the cause.
AI-Ops turns every alert into an investigation, a documented finding, and — on your approval — the fix that stops it coming back.
From the first alert to the fix, nothing changes in your environment until you approve it in the ticket.
Root cause, not symptoms
Recurring alerts trigger a root-cause investigation, so the underlying issue is removed for good.
Every alert, handled
Nothing is skipped or sampled. Each one is triaged so the service stays within SLA.
You approve every fix
Nothing changes in your environment until you approve the fix, right in the ticket.
Every alert, investigated like your best engineer
Six steps run on every single alert — grounded in your live data, never guesswork.
- 01
Classify
Read the alert type and severity from the normalized event.
- 02
Check current state
Has it already self-resolved? Check the live signals and the host itself.
- 03
Gather evidence
Pull live metrics, logs and recent history from monitoring, cloud and the host.
- 04
Search what's known
Find matching runbooks, known issues and recent changes in your knowledge base.
- 05
Hypothesize root cause
Synthesize everything into probable causes, ranked by confidence.
- 06
Document & recommend
Post a structured summary and a recommended action onto the ticket.
Meet OpsAlly, your AI teammate
It lives where your team already works — answering questions, routing incidents, and acting on your word.
- Notifies the right person. Pings the on-shift engineer for the role the ticket needs — or asks the team channel who should own it.
- Talks like a teammate. Ask follow-up questions about an incident, then tell it who to assign or update, and it does it.
- Role and shift aware. Routes to the infrastructure engineer on shift, never a static name. It reads your live roster.
P2 latency spike on order-svc-db
Likely cause: connection-pool exhaustion after the 14:02 deploy.
Proposed fix: recycle the pool, raise max connections.
Done. Assigned to Sam Ortiz (Infra, on shift). I'll track the fix.
Built to fix problems, not close tickets
Pattern intelligence & root cause
Every alert is triaged and quietly correlated. When it recurs, the AI builds the root-cause case and recommends a Problem ticket so it stops coming back.
Smart deduplication
Repeat alerts on the same host update the existing ticket instead of spawning a new one. Ticket sprawl, gone — with full history kept.
Knowledge that grows itself
When a fix recurs, the AI drafts a KB article for your review. Institutional knowledge compounds instead of leaving with your senior staff.
Bring your own LLM
Run on Anthropic Claude or OpenAI — your subscription, your model, your keys. No lock-in, full cost visibility.
Works with the stack you already run
No rip-and-replace. Every integration is configured, not coded — so adding a new source or tenant is a config change, never a release.
Monitoring & alerting
Connects to virtually any monitoring or alerting source on the market.
Ticketing & ITSM
Jira, ServiceNow, and the systems you already run.
Cloud
AWS, Azure, on-prem and hybrid.
Intelligent research
Knowledge from any KB, docs or file store, plus change requests and vendor notices.
Chat
Slack and Mattermost, through the OpsAlly agent.
Secrets
Credentials live in your secrets manager, never in our database.
Enterprise trust, from day one
The platform reads before it acts, cites its evidence, and never holds your secrets.
Read-only by default
The platform only reads. Any change is proposed first and applied only on your approval.
Credentials never stored
Every secret is a secrets-manager reference. Sessions are key-based and fully audited.
Strict tenant isolation
Data is partitioned at the app, database and API layers. No cross-tenant access.
Grounded, not hallucinated
Every finding cites the metric, log or KB article it came from.
RBAC and TLS everywhere
Admin and viewer roles, TLS on all traffic, and a full audit trail.
Graceful degradation
If anything is unavailable, the alert is queued for a human with full context.
Validated against real operations
Pressure-tested against worklog data from three very different operations — from 6 to 110 incidents a day, across AWS and Azure.
| Dimension | Customer A | Customer B | Customer C |
|---|---|---|---|
| Incidents / day | ~6 | ~6 | ~110 |
| Primary cloud | AWS | Azure | AWS |
| Monitoring | Datadog | Zabbix + Datadog | PagerDuty + Datadog |
| Ticket source | Email → Jira | Email + ServiceNow | ServiceNow (90%) |
| Footprint | Mid-size | Network-heavy | Large, multi-region |
One platform. Three operating realities. Zero customer-specific code — everything that differs is configuration.
The outcomes we design for
Target outcomes, grounded in real operational data.
Start assisted. Automate on your timeline.
Begin with read-only triage at zero risk. Turn on supervised resolution when you're ready.
Assisted triage
Read-only, zero risk- AI triage and documentation, read-only
- Smart ticket deduplication
- Recurring-pattern and root-cause analysis
- Auto-drafted KB articles
- OpsAlly chat agent
- Multi-tenant dashboard
Supervised resolution
Turn on when you're ready- Executor securely logs into the target host
- Inspects logs, processes and resource use
- Builds the fix plan alongside the triage
- You approve in the ticket, then it implements
- Post-fix verification confirms the cause is gone
- No-code playbook builder
Run a pilot on your environment
- We stand up a tenant in a single command — no infrastructure project, no rip-and-replace.
- Point it at your alerts, your inventory and your knowledge base.
- See real findings — and the root cause behind your recurring alerts — on your own tickets within weeks.
Tell us about your alerts and stack — we'll reach out within one business day.