33 lines
1.7 KiB
Markdown
33 lines
1.7 KiB
Markdown
# ITIL Expert: Usage Examples
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Common scenarios for applying ITIL 4 and ITIL 5 knowledge.
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## Scenario 1: Mapping an AI-Native Incident Value Stream
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**Task:** Design a value stream for handling incidents in an AI-powered SaaS.
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**ITIL 5 Approach:**
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1. **Engage:** AI Chatbot identifies user issue via Natural Language Processing (NLP).
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2. **Plan:** Auto-triage categorizes the incident as "Automated Fix" or "Human Escalation."
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3. **Obtain/Build:** If automated, a script is triggered to restart services.
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4. **Deliver & Support:** AI verifies resolution with the user.
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5. **Improve:** Incident data is fed back into the AI model to prevent future occurrences (Predictive Problem Management).
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## Scenario 2: Designing a Sustainable Digital Product
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**Task:** Ensure the new "Hospital IT Hub" is compliant with ITIL 5 Sustainability standards.
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**Guidance:**
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- **Green Compute:** Use serverless architectures to ensure energy is only consumed during active requests.
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- **Resource Lifecycle:** Track all medical IoT devices in the CMDB with "End-of-Life" recycling workflows.
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- **SLA Update:** Add a clause: "The service shall target 99.9% uptime with a maximum carbon intensity of X kg CO2 per user transaction."
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## Scenario 3: AI Governance Implementation
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**Task:** Your company wants to use AI to approve high-risk changes.
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**Advice:**
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- **HITL Requirement:** ITIL 5 mandates that high-risk changes (Categories A/B) require a human reviewer to validate the AI's recommendation.
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- **Explainability:** The AI must provide a "Reasoning log" for the approval suggestion.
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- **Auditability:** Every AI-approved change must be logged with the version of the algorithm used for the decision.
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---
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*Use these examples as templates for your own ITIL implementation strategy.*
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