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ITIL Expert: Usage Examples

Common scenarios for applying ITIL 4 and ITIL 5 knowledge.

Scenario 1: Mapping an AI-Native Incident Value Stream

Task: Design a value stream for handling incidents in an AI-powered SaaS.

ITIL 5 Approach:

Engage: AI Chatbot identifies user issue via Natural Language Processing (NLP).
Plan: Auto-triage categorizes the incident as "Automated Fix" or "Human Escalation."
Obtain/Build: If automated, a script is triggered to restart services.
Deliver & Support: AI verifies resolution with the user.
Improve: Incident data is fed back into the AI model to prevent future occurrences (Predictive Problem Management).

Scenario 2: Designing a Sustainable Digital Product

Task: Ensure the new "Hospital IT Hub" is compliant with ITIL 5 Sustainability standards.

Guidance:

Green Compute: Use serverless architectures to ensure energy is only consumed during active requests.
Resource Lifecycle: Track all medical IoT devices in the CMDB with "End-of-Life" recycling workflows.
SLA Update: Add a clause: "The service shall target 99.9% uptime with a maximum carbon intensity of X kg CO2 per user transaction."

Scenario 3: AI Governance Implementation

Task: Your company wants to use AI to approve high-risk changes.

Advice:

HITL Requirement: ITIL 5 mandates that high-risk changes (Categories A/B) require a human reviewer to validate the AI's recommendation.
Explainability: The AI must provide a "Reasoning log" for the approval suggestion.
Auditability: Every AI-approved change must be logged with the version of the algorithm used for the decision.

Use these examples as templates for your own ITIL implementation strategy.