Your IT Runbooks. Running Themselves.
AI agents handle L1 incidents end-to-end, execute patch cycles, and detect config drift before it becomes an outage. All from inside your network.
The Problem We Solve
- L1 ticket queue overwhelming service desk — same issues every week
- Incident triage taking hours while systems stay down
- Patch management manual — vulnerability window growing daily
- On-call engineers woken for issues agents could resolve
- Shadow IT and config drift undetected until it becomes an incident
What the AI Does
Incident Triage & Resolution
AI agents detect anomalies, cross-reference runbooks, and execute remediation actions — most L1 incidents never reach a human.
Patch Management
Automated patch cycle: scan for vulnerabilities, test in staging, deploy in maintenance windows, verify success.
Service Desk Automation
Password resets, access requests, provisioning — handled end-to-end without tickets.
Config Drift Detection
Continuous comparison against golden config baselines — deviations flagged and remediated before they become incidents.
What You Can Expect
in L1 ticket volume reaching human agents
for common incident classes with automated runbook execution
full network visibility without cloud telemetry — works in air-gapped environments
Frequently Asked Questions
How does Legion Force AI automate IT incident triage and resolution?
Legion Force AI's IT operations agents connect to the customer's monitoring and alerting infrastructure — whether that is Datadog, PagerDuty, ServiceNow, or a custom ITSM stack — and process incoming alerts through a triage workflow. The agent reads the alert, identifies the affected system, queries relevant logs and metrics, and applies the matching runbook procedure automatically. For incidents with well-defined resolution paths — service restarts, disk space cleanup, certificate renewals, failed job retries — the agent executes the resolution without human involvement and closes the ticket with a full activity log. For incidents outside the automated resolution scope, the agent escalates with a pre-populated incident report including affected services, timeline, probable cause, and recommended next steps. Mean time to resolution for automated incidents drops to minutes rather than the hours typical of on-call human response at off-peak times.
Can Legion Force AI manage patch management across on-premises infrastructure?
Yes. Legion Force AI's IT operations agents handle the full patch management lifecycle: scanning for available patches, assessing applicability against the current environment, testing patches in a staging environment if configured, scheduling deployment during approved maintenance windows, applying patches, and verifying successful application with post-patch health checks. Patch status dashboards are updated in real time. The agents operate within the customer's existing change management policies — patches requiring change board approval are queued and flagged rather than auto-applied. Rollback procedures are executed automatically if post-patch health checks detect degradation. Because all agent activity occurs on-premises, patch data, system inventory, and vulnerability information never leave the customer's network — which is critical for organisations with security frameworks that prohibit external vulnerability disclosure. The system handles Windows, Linux, and common application stack patching.
What happens to engineer workload when Legion Force AI handles L1 IT tickets?
When Legion Force AI's IT operations agents handle L1 ticket resolution — password resets, access provisioning, standard configuration changes, routine monitoring alerts — senior engineers are freed from interrupt-driven work entirely. In typical enterprise IT environments, L1 tickets account for 40 to 60 percent of ticket volume and consume disproportionate senior engineer time because of the constant context switching they require. With autonomous L1 resolution, engineers work uninterrupted on L2 and L3 problems, infrastructure improvements, and proactive capacity planning. On-call burden drops significantly because the agents handle overnight and weekend L1 volume without human escalation. Organisations typically see a reduction in ticket-driven engineer burnout within the first quarter of deployment. The agents also surface patterns in L1 ticket data — recurring issues that indicate underlying infrastructure problems — enabling engineers to address root causes rather than treating symptoms repeatedly.
Ready to see this in action?
Book 15 minutes and we'll show you exactly what Legion Force AI can automate in your environment.