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FEATURED DOSSIER · WEBINAR SERIES
SAP & Autonomous Enterprise — Architecture Dossier
The 12-part global SAP webinar series analyzed for Enterprise Architects: All video replays, slide decks, transcripts, and detailed takeaways.
Architecting the Autonomous Enterprise — The Complete SAP Webinar Series Architecture Dossier
All 12 episodes of SAP's global webinar series for enterprise architects analyzed: Direct video replay links, slide decks, transcripts, and detailed takeaways.
ARCHITECTURE SERIES · 8 PARTS
Optimistic Real Pessimism — Enterprise AI Beyond the Hype
One continuous warranty case analyzed through seven architectural lenses: From structured Pydantic outputs to GraphRAG, guardrails, governance, and audit trails.
Still believe in AI miracles? Then you've never watched an agent stuck in an infinite loop. Our manifesto for everyone who actually builds — welcome to optimistic real pessimism.
Software used to be predictable: if X, then Y. AI is different: if X, then probably Y. Treating AI like legacy RPA demands guardrails — here's how we build them.
Blog 02 demonstrated how an AI agent becomes reliable through clear data structures and validation loops: it understands in a structured way what is required. But even a correctly configured agent will return incorrect…
Blog 03 demonstrated how an AI agent finds the right information: Through targeted pre-selection and a network of relationships between business objects, the model receives exactly what applies to a specific customer…
The most powerful language models run in the cloud. The most sensitive corporate data — customer names, contract terms, internal business information — must not easily reach external services. This seems like a…
Classic program code behaves predictably: if you don't change the source code, you get the same result. This is not true for AI systems. Language models are regularly updated by providers in the background. The same…
The previous blogs described the technical architecture: structured outputs, targeted information selection, execution control, data protection, and quality assurance. What's still missing is the organizational side:…
Seven blogs, one continuous case, seven concepts: This series demonstrated what separates production-grade enterprise AI from a mere demonstration. This final post synthesizes the components…
ARCHITECTURE SERIES · 7 PARTS
SAP Business AI Platform — Emerging Roles & Operating Models
How do autonomous agents reshape IT organizations? Role profiles (Intent Architect, AI Supervisor), governance models, and architecture patterns.
Introduction to a blog series on the SAP Business AI Platform: four new key roles, legal guardrails, and and why the real challenge is the organisational transformation.
First deep dive into the SAP Business AI Platform: what an Intent Architect actually does in Joule Studio — from deterministic tool provisioning to legally enforceable guardrails.
Deep Dive Part 2: The AI Agent Supervisor / Exception Manager – From Clerk to Air Traffic Controller
Second deep dive into the SAP Business AI Platform: how the role shifts from data-entry clerk to exception manager — monitoring, KPIs, and legally sound approvals.
Third deep dive into the SAP Business AI Platform: Knowledge Graph, BDC, and ontologies — why semantics trump raw data and how the context architect keeps it safe.
Deep Dive Part 4: The AI Governance & Compliance Officer – Architect of Legally Sound AI Guardrails
Fourth deep dive into the SAP Business AI Platform: EU AI Act, IAM for agents, API policies, and Explainable AI — why governance is the enabler of autonomous systems.
Deep Dive Part 5: Administrators & Developers – The Foundation of the Autonomous SAP Enterprise
Fifth part of the series: how BTP, integration, ABAP, and CAP roles grow alongside AI agents — infrastructure, Clean Core, and agentic engineering.
Two diagrams illustrating the SAP Business AI Platform: from the engagement to infrastructure layer, and the timeline from design-time through run-time to exception handling.
FIELD REPORTS & TRAINING
Further Articles & Field Insights
Practical insights from on-site workshops (e.g. Chisinau) and prototypes (Nextcloud learning platform).
A look back at three intensive days of solution architecture, data strategy, and hands-on innovation at UTM.
Tired of the data jungle? If you want a learning platform as intuitive as Microsoft Teams but fully GDPR-compliant, here is how Nextcloud, automated API scripts and hosting with PortKnox give you one central environment — already proven from Moldova to Armenia.