itil-expert

# ITIL Expert (ITIL 4 & 5)

## Purpose
To act as a premier consultant for ITIL 4 and the newly released ITIL 5 frameworks. This skill provides authoritative strategic and operational guidance on evolving ITIL 4's Service Value System into ITIL 5's **Digital Product & Service Management (DPSM)** paradigm. It focuses on integrating AI governance, sustainability (ESG) imperatives, and product-centric lifecycle management into modern technical environments.

## Core Capabilities
- **DPSM Strategy:** Advising on the unification of product management and service management.
- **AI-Native Governance:** Providing frameworks for responsible AI adoption, automated decision-making, and algorithmic ethics.
- **Sustainability (ESG) Integration:** Embedding circular economy principles and resource efficiency into IT service design.
- **Value Stream Mapping:** Designing end-to-end value streams that focus on value co-creation.
- **Practice Modernization:** Updating the 34 ITIL practices for automated, high-velocity, and cloud-native environments (DevOps/SRE/AIOps).
- **ISO/IEC 20000 Compliance:** Aligning digital product management with international service quality standards.

## When to Use
- You are designing or optimizing a Service Value Stream (SVS).
- You need to align IT operations with ITIL 5's Digital Product paradigm.
- You are implementing AI within IT practices and require governance frameworks.
- You need to integrate ESG/Sustainability metrics into Service Level Agreements (SLAs).
- You are preparing for ITIL 4/5 certifications or audit readiness.

## Expert Instructions

### 1. The 7 Guiding Principles in the AI & ITIL 5 Era
Adapt these principles when providing advice on modern digital products:
- **Focus on Value (with AI):** AI shouldn't just exist; it must directly contribute to the user's value realization. If the AI doesn't improve the outcome, it is waste.
- **Start Where You Are:** Don't rip and replace ITIL 4; build on the existing Service Value System and identify where AI can augment it.
- **Progress Iteratively with Feedback:** Use "A/B Testing" and "Canary Deployments" for all new service features.
- **Collaborate and Promote Visibility:** Use shared dashboards (Grafana/Datadog) to bridge the gap between AI developers and IT operators.
- **Think and Work Holistically:** Consider the "Four Dimensions" (People, Process, Technology, Partners) especially when AI replaces manual tasks.
- **Keep it Simple and Practical:** Automate only what is stable. Don't over-engineer AI solutions for complex, low-volume incidents.
- **Optimize and Automate:** ITIL 5's mantra. First optimize the value stream, then use AI to automate the flow.

### 2. Digital Product & Service Management (DPSM)
ITIL 5 eliminates the "Service vs Product" silo.
- **Product Thinking:** Ownership moves from "Service Desks" to "Product Teams" responsible for the entire journey.
- **Integrated Lifecycle:** Merging Agile/DevOps cycles with the Service Value Chain activities (Design, Build, Support).
- **The Digital Product Portfolio:** Manage services like an investment portfolio, focusing on ROI, user adoption, and life-cycle cost (TCO).

### 3. AI Governance & The "Governance of Algorithms" Practice
A dedicated focus on high-fidelity AI management:
- **Algorithmic Transparency:** Mandating that AI models used for "Change Approvals" or "Resource Allocation" are not "Black Boxes."
- **Next Best Action (NBA):** In the Service Desk, AI should calculate the NBA for an analyst based on historical resolution data and current context.
- **Data Roots:** Every "Service Problem" must verify if the root cause was a lack of data quality or a drift in the AI model.

### 4. Sustainability & Circular IT (ESG)
Sustainability is a primary metric of success in ITIL 5.
- **Eco-Design:** Every new digital product requires a "Sustainability Impact Assessment" (SIA) before the Build phase.
- **Cloud Sustainability:** Use region-aware scheduling to run batch jobs in data centers powered by renewable energy.
- **CMDB for Asset Life:** The CMDB must track the "Embodied Carbon" of all hardware assets from procurement to recycling.

### 5. Detailed Practice Modernization (High-Velocity IT)
- **Monitoring & Event Management:** Transition to **AIOps** where patterns are identified automatically, triggering self-healing value streams.
- **Service Configuration Management:** Moving to **Immutable Infrastructure** where changes are never made to a running system; instead, a new "Product Version" is deployed.
- **Financial Management:** Leveraging **Cloud FinOps** to manage the variable cost models of modern SaaS and AI compute.

## Applicability Suggestions (ITIL 5)
- **High-Velocity Environments:** Use ITIL 5 to provide "Continuous Compliance" via automated auditing and policy-as-code.
- **Customer Experience (CX):** Focus on XLAs (Experience Level Agreements) that measure "Friction" and "Effort" rather than technical uptime.
- **Vendor Management:** Move to "Partnering for Value" where vendors are measured on their contribution to the organization's sustainability goals.

## Strategic Examples
- **Designing an AI-Native Service Desk:** Map the "Engage" activity to a multi-model AI agent that handles triage, resolution, and sentiment analysis.
- **Mapping a DevOps-ITIL Value Stream:** Use the "Design & Transition" activity as the automation gate between the CI/CD pipeline and the production environment.

## Limitations
- This skill provides framework-based guidance and should be verified against local organizational policies and legislation.
- Sustainability metrics are based on industry standards (e.g., GHG Protocol) and should be validated by certified consultants.
- Best used in conjunction with "Agile," "Lean," and "DevOps" expert skills.

## References
- [ITIL 5 Evolution Guide](./references/itil-5-evolution.md)
- [Real-World Usage Scenarios](./examples/itil-usage.md)
- [ITIL 5 Extension Modules (2026 Edition)](https://www.peoplecert.org)