Enterprise-grade AI

Your IT support is a silent cost center. We fix that.

For most enterprises, tickets pile up, engineers get pulled into repetitive triage, SLAs slip, and every outage costs real money — in downtime, staff hours, and customer trust.

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50–60%Less L1–L3 support work
<5 minAvg ticket resolution
24/7No burnout. No delays.
ITSM Agents autonomous AI operator
Rad · Health Monitor · Active
Works with the tools you already run
Jira ServiceNow AWS CloudWatch Slack PagerDuty
The Problem

IT support the old way
doesn't scale.

Tickets pile up while engineers waste hours on repetitive triage
SLAs slip because issues sit undetected until someone notices
Every outage costs real money — downtime, staff hours, customer trust
Senior engineers pulled from innovation into firefighting mode
Our Solution

A team of AI agents that
never sleeps.

ITSM Agents deploys specialized AI that operates as a fully autonomous first line of IT defense — 24/7, no burnout, no escalation delays. The moment an issue is reported, the agents are already working.

Instant Triage

Severity classified, duplicates filtered, category assigned — in seconds. No human needed at the intake layer.

Autonomous Resolution

The AI searches your knowledge base, runs live diagnostics, and drafts a fix — without touching a human engineer.

Smart Escalation

Only genuinely complex issues reach your team — with full context already prepared. No more cold escalations.

SLA Protection

The system predicts breaches before they happen and acts proactively — not reactively after the damage is done.

How It Works

Six agents. One pipeline.
Fully automated.

When a ticket (Jira / ServiceNow) or CloudWatch log hits the system, the master_agent reads it, fingerprints the issue, and routes it to the right tier — all in under a second.

Master Agent master_agent
Reads the ticket, classifies severity, fingerprints the issue, routes to the right agent tier in <1 second.
L1 Agent l1_agent
Checks duplicates, searches the knowledge base, runs live diagnostics, drafts resolution automatically.
L2 Agent l2_agent
Steps in for deeper cross-service log analysis, runbook matching, and correlation when L1 can't fully resolve.
L3 Agent l3_agent
Builds full remediation plans for complex infra failures. Pauses for human approval before executing risky fixes.
Escalation Agent escalation_agent
Handles human-in-the-loop approval for high-risk changes. Prepares full context before handing off to your team.
Resolution Validator resolution_validator
Confirms the fix is complete, logs the outcome, and closes the ticket. SLA intact.
Real example

A production server throws 500 errors at 8 AM. The Master Agent classifies it as high severity in one second. L1 queries CloudWatch, finds a CPU spike, matches it to a past runbook, and sends a resolution — all within 30 seconds. Engineer never paged. Ticket closed. SLA intact.

Business Impact

What it means for
your bottom line.

50–60%
Reduction in L1, L2 & L3 support work
<5 min
Average ticket resolution (down from hours)
0
Extra headcount to scale IT operations
100%
Auditable, explainable AI decisions
Governance & Trust

You stay in control.
Agents handle the volume.

Every decision the AI makes is logged, auditable, and explainable. Humans handle the judgment calls. Agents handle the noise.

  • Full audit trail on every action
  • Human-in-the-loop approval for risky fixes
  • SOC 2 aligned controls & tenant isolation
  • Works with Jira, ServiceNow, CloudWatch

Ready to stop firefighting?

Deploy your first AI agent in minutes. No infrastructure changes required.

Get Started