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https://catalogartifact.azureedge.net/publicartifacts/arvato-systems.azure-ai-value-engine-88210ae9-e11a-4e1f-85c0-4b421a4ccc91/image2_220arvatosystemslogohorizontaloriginalrgbaktuell.png

Azure AI Value Engine – From AI Pilot to Business Impact

Arvato Systems

Most organizations have already started their AI journey – but remain stuck in pilots, disconnected use cases, and unclear business impact.

The real challenge is not technology – it is leadership, governance, and the ability to turn AI into measurable value.

Our AI Transformation program on Microsoft Azure helps you move beyond experimentation and build a scalable AI Value Engine – delivering real business outcomes in weeks, not years.

We combine strategy, architecture, and industrialized delivery with one clear principle:

Every AI initiative must create measurable impact – or it stops.

What’s Included

  1. AI Focus & Governance (CoE) Establish AI Center of Excellence and operating model Define KPI-driven AI objectives and decision frameworks Align business, IT, and governance for scalable AI adoption

  2. Azure AI Foundation & Landing Zone Design and implement enterprise-grade AI landing zone Secure architecture (network, identity, compliance) Data & platform foundation for scalable AI workloads

  3. AI Value Engine & GenAIOps Build a scalable AI Factory with GenAIOps Implement reusable patterns, pipelines, and guardrails Deliver first production-ready use case (Proof of Value)

From Pilot to Impact: We eliminate the “pilot trap” by focusing on measurable outcomes, not experimentation 90-Day Value Approach: Every use case is designed to deliver measurable business impact within weeks Business-Driven AI: AI initiatives are owned by business units, not isolated in IT Value over Volume: We prioritize high-impact use cases instead of building large but ineffective portfolios Scalable AI Factory: Establish repeatable delivery models for continuous AI value creation

Business Outcomes Measurable KPI impact (cost, time, risk reduction) Production-ready AI use cases Scalable AI operating model Reduced risk through governance and compliance Faster time-to-value (weeks instead of months)

Deliverables AI target operating model & governance framework Prioritized use case portfolio with business KPIs Azure AI landing zone (design + implementation) Production-ready AI use case (Proof of Value) GenAIOps setup and AI Factory blueprint Responsible AI & compliance framework

Auf einen Blick

https://catalogartifact.azureedge.net/publicartifacts/arvato-systems.azure-ai-value-engine-88210ae9-e11a-4e1f-85c0-4b421a4ccc91/image0_1280720.png
Deutsch (Luxemburg)
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