Five ITIL processes. 85% of the value. Operated with AI.

Incident Management restores normal service as quickly as possible after disruption. Zendesk provides the ticket of record, priority and severity handling, SLA clocks, escalation paths, major incident workflows, communication templates for affected users, and the audit trail from open to close.

AI triages every incoming incident, correlates related signals across devices and services, suggests priority based on blast radius, and routes to the team that can resolve it. For common incidents, automated remediation runs first. If it works, the ticket closes with a full record. If not, the responding engineer opens a structured incident with context, affected assets, and recent change history already attached. Major incident workflows trigger automatically when thresholds are crossed.

Problem Management identifies the underlying causes of incidents and prevents their recurrence. Zendesk holds the problem record, links to contributing incidents, tracks known errors, documents root cause analysis, and publishes workarounds to the knowledge base.

AI correlates recurring incidents across services, devices, and users to surface root causes before they escalate. Problem records open automatically with affected assets and incident history already attached. The known error database is populated from resolved problems. Workarounds drafted by AI are published to knowledge once reviewed. Reactive IT becomes proactive without a dedicated problem team.

Knowledge Management captures, curates, and publishes the articles that employees and agents use to resolve requests and incidents. Zendesk provides the knowledge base: article lifecycle, categorization, versioning, access control, search, and feedback loops. Knowledge is the single most important asset for self-service deflection.

L5 operates the Zendesk platform that operates the knowledge base. AI surfaces gaps from unresolved tickets, drafts articles from resolved ones, flags stale content against policy changes, and measures findability as a KPI. Every AI agent queries the same knowledge base. Every resolved ticket improves it. Knowledge drift is measured every week.