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.
How SAP's AI-native North Star architecture prepares for the quantum era with QPU coprocessors, cloud-native APIs, and scoped analytical use.
Closing note on the AI-native enterprise as a cybernetic system, where architects shift to agentic engineering built on SAP's integration and trust.
Trust makes collaboration possible: a marketplace where agents, data products, and tools are registered, versioned, shared, and composed into solutions across organizational boundaries.
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.
Answers to customer and partner questions on SAP's AI-native North Star architecture, covering Joule Work, agents, SAP Knowledge Graph, and data products.
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.
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.