An AI Governance Operating Model for an SAP Customer (AI CoE)

What you will learn

• Explain why an existing analytics CoE's structure and staffing are insufficient for generative AI governance
• Diagnose whether a client's stalled AI programme suffers from over-centralisation, under-centralisation, or a missing structural component
• Design a federated hub-and-spoke operating model, sized correctly against the >5 domains / >50 power users threshold
• Map SAP's own Business AI Platform (Build, Contextualize & Reason, Govern) and SAP AI Agent Hub's three governance questions onto the five structural components of an AI CoE
• Build an ROI tracking structure (three cost categories, five benefit categories, 90-day baseline) that lets the CoE prove its own value
• Feed the CoE's use-case registry from the “SAP AI Ethics and Data Privacy in Delivery” ethics and privacy triage instead of running it as a parallel, disconnected process

Module overview

Who this is for. You have run a use-case discovery workshop and know how to triage a single use case for ethics and privacy risk. This module is about the structure that has to exist before either of those activities can repeat reliably across an SAP estate: the organisational unit — or federated network of units — that owns standards, tooling, talent and governance for AI deployment. Most large SAP clients already run an analytics CoE that owns Datasphere and SAC; this module is about the AI CoE that absorbs generative AI into that structure without losing the data-governance discipline the analytics CoE took years to build.

Prerequisites

• SAP AI Ethics and Data Privacy in Delivery
• Running an AI Use-Case Discovery Workshop for SAP Clients
• Familiarity with how an existing analytics CoE (Datasphere/SAC/BW governance) typically operates at a large SAP client

Outcomes

• Diagnose, from symptoms alone, whether a client's AI governance problem is over-centralisation, under-centralisation or a missing structural component.
• Propose a correctly sized hub-and-spoke operating model with a named central team and a named first pilot domain.
• Explain to a client how SAP's own Business AI Platform and AI Agent Hub map onto the operating model you are proposing, using SAP's own vocabulary.
• Produce a 90-day stand-up sequence and a three-category/five-category ROI tracking structure for a named client scenario.