NewLive demo available

Replaces 0% of AiOps L1 work

An AI agent that picks up ServiceNow tickets, cross-checks Zabbix, talks to the employee in Arabic, and resolves issues before they reach an L2 engineer — with a tamper-evident audit trail.

Arabic & EnglishSub-secondAudit-grade
Resolution time
live
L1 Engineer
Manual
34:18
total
  • Pick up ticket3:24
  • Basic troubleshooting11:08
  • Check Zabbix4:52
  • Apply remedy12:36
  • Escalate to L22:18
AiOps
Autonomous
4.9s
total
  • Pick up ticket0.4s
  • Basic troubleshooting1.2s
  • Check Zabbix0.9s
  • Apply remedy2.1s
  • Escalate to L20.3s
Integrates with
ServiceNow
Zabbix
WhatsApp
Email · Resend
Claude · Sonnet
Gemini · Flash
PostgreSQL · pgvector
Cloud Run
Hash-chained Audit
ServiceNow
Zabbix
WhatsApp
Email · Resend
Claude · Sonnet
Gemini · Flash
PostgreSQL · pgvector
Cloud Run
Hash-chained Audit
Side-by-side

Human L1 vs AiOps agent

Same job, two very different timelines. Each row pairs the L1 task with the agent's equivalent — and the real-world delta between them.

Human L1 engineer

Manual handling · 8h shift · breaks needed

Receive and log the ticket2-5 min
Basic troubleshooting5-15 min
Check Zabbix monitoring3-8 min
Apply a standard remedy5-20 min
Escalate to L2 if needed2-5 min
Total time
30–45 minutes
  • Limited to shift hours
  • Fatigues over the day
  • Manual notes — gaps possible

AiOps

Autonomous · 24/7 · no breaks

Receive and log the ticket< 1s
Basic troubleshooting2 s
Check Zabbix monitoring1 s
Apply a standard remedy3 s
Escalate to L2 if needed< 1s
Total time
Under 10 seconds
  • Always-on, never sleeps
  • Native Arabic dialog
  • Hash-chained audit trail
How it works

Five deterministic stages. One pipeline.

Every ticket flows through the same path: ingest → verify → decide → dialog → resolve or escalate.

01

Pick up the ticket

Agent listens to ServiceNow webhooks and pulls employee + device context from CMDB.

02

Verify with Zabbix

Cross-checks the employee's claim against live Zabbix metrics and active triggers.

03

Cross-check verdict

Decides: matches, employee_wrong, l1_wrong, or both_wrong — with rationale.

04

Dialog with employee

Proposes a KB-grounded remedy in the employee's language and awaits a reply.

05

Resolve or escalate

Closes the ticket if resolved — or escalates to L2 with all evidence packaged.

Specialist team

Nora triages. Eight specialists handle the rest.

Nora triages every ticket and routes it to the right specialist — network, endpoint, identity, email, apps, storage, telecom, or security — each with a domain-specific knowledge base.

ActiveTier 1

Nora

Triage Agent

Hi, I'm Nora — I'll route you to the right specialist

L2 Helpdesk LeadAR · EN24/7
ActiveTier 1

Faisal

Network Agent

Hi, I'm Faisal — your network specialist. Let's check your uplink

L2 NetworkAR · EN24/7
ActiveTier 1

Reem

Identity Agent

Hi, I'm Reem — sign-in and access. Let me verify your account

Identity OperationsAR · EN24/7
ActiveTier 1

Yousef

Endpoint Agent

Hi, I'm Yousef. Let's look at your device — tell me what's happening

Desktop EngineeringAR · EN24/7
ActiveTier 1

Lina

Email Agent

Hi, I'm Lina — your email and calendar specialist

Messaging TeamAR · EN24/7
ActiveTier 2

Khalid

Application Agent

Hi, I'm Khalid — ERP, CRM, internal apps

App OwnersAR · EN24/7
ActiveTier 2

Hassan

Storage Agent

Hi, I'm Hassan — files, shares, OneDrive, recovery

File Services TeamAR · EN24/7
ActiveTier 2

Sara

Telecom Agent

Hi, I'm Sara — VoIP, Teams, conferencing, mobile

Telecom OperationsAR · EN24/7
ActiveTier 2

Tariq

Security Agent

Hi, I'm Tariq — phishing, AV blocks, lost devices

SOCAR · EN24/7
Why it works

Not a chatbot. Built for real network operations.

Plugs into your stack

ServiceNow, Zabbix, CMDB, and email — real reads and writes, not theatrics.

ServiceNowZabbixWhatsAppResendPostgresCloud Run

Tamper-evident audit

Every decision in a hash-chained log — provable, signed, and replayable.

Fully observable

Live step trace, verifications, verdicts, and confidence at every stage.

Arabic-first

Native Arabic dialog from day one — no MT artifacts.

On-prem or cloud

Cloud Run, Kubernetes, or your own bare metal — your infra, your data.

L2 focuses on what matters

Only the genuinely complex 10% reach a human — and they arrive packaged.

0%
resolved pre-L2
0%
reach L2

Ready to see it in action?

Sign in with the demo credentials and watch the agent resolve real tickets.