Acknowledgements for the North Star Architecture
AI-native North Star architecture > Acknowledgement
Acknowledgement of the core contributors from SAP who shaped the AI-native North Star architecture, listed alphabetically by last name.
The AI-native North Star architecture defines the target state of SAP's technology landscape. It is not a specification, roadmap, or promise of delivery. It is a direction of travel; a statement of how AI, data, processes, and the platform must work together as intelligence becomes the norm rather than an add-on.
View all tagsAcknowledgement of the core contributors from SAP who shaped the AI-native North Star architecture, listed alphabetically by last name.
Enterprise AI shifts from AI-first to AI-native: SAP's system of context lets agents reason across the enterprise and moves value to Outcome as a Service.
SAP's AI-native customer-specific development services deliver upgrade-safe extensions that learn and adapt in production via agentic engineering.
The vision for SAP's AI-native North Star architecture: four layers — User Experience, Process, Foundation, and Platform — forming a system of context.
The AI-native User Experience Layer shifts users from navigating apps to stating intent, as Joule Work unifies generative, voice, and multimodal experiences.
The AI-native North Star architecture is SAP's blueprint for the Autonomous Enterprise, in a foreword by Anirban Majumdar, Head of SAP's Office of the CTO.
Closing note on the AI-native enterprise as a cybernetic system, where architects shift to agentic engineering built on SAP's integration and trust.
The AI-native foundation layer makes data and AI the intelligent core, grounded by SAP Business Data Cloud and SAP Knowledge Graph for governed context.
ASUG CEO Geoff Scott on SAP's AI-native North Star architecture: customers need clarity amid fast-moving enterprise AI, and ASUG commends SAP's rigor.
How SAP's AI-native architecture governs agents: a governed gateway, scoped agent identity, three-tier AI defense, and AI ethics review under the EU AI Act.
Glossary of key terms and definitions used across SAP's AI-native North Star architecture, from system of context to agentic orchestration and sovereign AI.
SAP CTO Philipp Herzig on the AI-native North Star architecture: moving from AI-first to AI-native toward one system of context for the Autonomous Enterprise.
The AI-native platform layer runs apps, agents, and workflows at enterprise scale on a managed agent runtime, with sovereign AI and governance built in.
The AI-native process layer shifts business logic to agent-driven orchestration, with apps as capability providers and Joule Studio for agentic solutions.
How SAP's AI-native North Star architecture prepares for the quantum era with QPU coprocessors, cloud-native APIs, and scoped analytical use.
The SAP AI Agent Hub is the enterprise marketplace for discovering, publishing, and composing agents, tools, and extensions across a shared trust framework.
SAP's AI-native North Star architecture defines the target state of SAP's technology landscape: a strategic direction, not a specification or product roadmap.
DSAG's perspective on SAP's AI-native North Star architecture: a strategic roadmap for AI transformation and a shared responsibility to develop solutions.
SAP's resilient and sovereign cloud delivers AI-native workloads across public, private, sovereign, and on-site models with data sovereignty and compliance.
DSAG's Thomas Henzler on governance in SAP's AI-native North Star architecture, a strategic framework for AI transformation across the enterprise.