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Implementing AI-Native Enterprise to Achieve Business Outcomes/
Ensuring Trust, Integration, and Governance

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Introducing the AI-Native Paradigm Shift

Understanding the Need for AI-Native Approach for Enterprise Business Systems7 min
Understanding AI-Native North Star Architecture10 min
Quiz

Understanding the Four Architectural Layers

 Explaining the User Experience Layer Evolution6 min
Explaining the Process Layer Transformation5 min
Explaining the Foundation Layer as Intelligent Core9 min
Explaining the Platform Layer as Enterprise Agent Foundation8 min
Quiz

Ensuring Trust, Integration, and Governance

Describing Intelligence-driven Integration4 min
Describing Security Principles for Agentic Systems3 min
Embedding AI Ethics and Governance in Agentic Architectures10 min
Quiz

Building Ecosystem and Infrastructure

Explaining the Marketplace for Agents, Tools, and Extensions5 min
Describing Cloud Deployment Models for AI-Native Operations5 min
Ensuring Operational Excellence in AI-Native Clouds10 min
Quiz

The Path Forward with AI-Native North Star Architecture

Identifying Use Cases Where AI-Native Architecture Delivers Value6 min
Describing AI-Native Architecture in the Quantum Era10 min
Quiz

Introducing the AI-Native Paradigm Shift

Understanding the Need for AI-Native Approach for Enterprise Business Systems7 min
Understanding AI-Native North Star Architecture10 min
Quiz

Understanding the Four Architectural Layers

 Explaining the User Experience Layer Evolution6 min
Explaining the Process Layer Transformation5 min
Explaining the Foundation Layer as Intelligent Core9 min
Explaining the Platform Layer as Enterprise Agent Foundation8 min
Quiz

Ensuring Trust, Integration, and Governance

Describing Intelligence-driven Integration4 min
Describing Security Principles for Agentic Systems3 min
Embedding AI Ethics and Governance in Agentic Architectures10 min
Quiz

Building Ecosystem and Infrastructure

Explaining the Marketplace for Agents, Tools, and Extensions5 min
Describing Cloud Deployment Models for AI-Native Operations5 min
Ensuring Operational Excellence in AI-Native Clouds10 min
Quiz

The Path Forward with AI-Native North Star Architecture

Identifying Use Cases Where AI-Native Architecture Delivers Value6 min
Describing AI-Native Architecture in the Quantum Era10 min
Quiz

Knowledge quiz

It's time to put what you've learned to the test, get 7 right to pass this unit.

1.

What is the primary purpose of the Agent Gateway in an intelligence-driven integration model?

Choose the correct answer.

It serves as a mandatory routing and policy hub for all agent interactions.

It acts as a repository for static, pre-built connectors and integration packages.

It replaces the need for standardized communication protocols like MCP.

It is used exclusively for storing business object metadata and shared vocabularies.

2.

Which international frameworks are aligned with the SAP Global AI Ethics Policy?

Choose the correct answer.

UNESCO Recommendation on the Ethics of Artificial Intelligence and OECD AI Principles

IEEE Standard for Ethically Aligned Design and ISO 42001

NIST AI Risk Management Framework and GDPR

United Nations Sustainable Development Goals and WTO Guidelines

3.

Which tier of SAP's AI defense architecture involves deterministic control agents that monitor, sanitize, and authorize the actions of other AI agents?

Choose the correct answer.

Foundation tier

Supervision tier

Automation tier

Governance tier

4.

Which protocol enables agents to discover and invoke capabilities across diverse systems by exposing them in a machine-readable format?

Choose the correct answer.

Model Context Protocol (MCP)

Agent2Agent (A2A) Protocol

One Domain Model (ODM)

Open Resource Discovery (ORD)

5.

What is a key advantage of agents learning from usage in an intelligence-driven integration approach?

Choose the correct answer.

It allows agents to predict potential integration failures before they occur.

It eliminates the need for the Agent Gateway and landscape boundaries.

It requires humans to manually reconfigure all integration mappings for every interaction.

It restricts agents to only using static, pre-configured connectors for established workflows.

6.

What does it mean to treat AI agents as first-class principals in an enterprise security model?

Choose the correct answer.

Agents inherit the full permissions of the user who initiated them to ensure they can complete any task.

Agents are recognized as distinct entities with their own unique identity, scoped authorization, and governance.

Agents operate anonymously to protect the privacy of the underlying enterprise systems.

Agents are treated as static applications that do not require individual audit trails or behavioral tracking.

7.

In the context of multi-agent coordination, what does the Agent2Agent (A2A) protocol facilitate?

Choose the correct answer.

It enables specialized agents built by different teams to communicate and collaborate within governed boundaries.

It provides a shared vocabulary for consistent business object metadata across the enterprise.

It defines the physical landscape boundaries and access policies for a single system.

It acts as a human-in-the-loop routing mechanism for critical business decisions.

8.

What is the primary purpose of the structured AI ethics impact assessment at SAP?

Choose the correct answer.

To classify use cases by potential ethical risk level

To calculate the financial return on investment for AI projects

To determine the technical hardware requirements for AI agents

To automate the coding process of the AI-native architecture