The real SAP AI & analytics problems today
As of 2026-11-06
Ranked on 531 customer questions at SAP TechEd 2026, our live adverts and Search Console queries. Updated on 6 November 2026.
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The twelve challenges
- 1SAP AI agents in production: identity, authorizations, governance, audit login phases
- 2Joule value and adoption: what shipped, what is announcedin phases
- 3Predicting SAP AI cost: AI Units, capacity units and model pricingpartly shipped
- 4AI-ready data: data products, knowledge graph, master data, custom fieldspartly shipped
- 5On-premise and Private Edition: what SAP AI actually reachespartly shipped
- 6Open ecosystem: Copilot, Databricks, Fabric, Snowflake, BigQuery, MCP and A2Apartly shipped
- 7The BW 7.5 cliff: end of maintenance 2027, extended 2030, and the migration routesend of maintenance
- 8BDC, Datasphere, SAP Databricks, lakehouse: which is whichpartly shipped
- 9Skills shortage: staffing an SAP AI and analytics teampartly shipped
- 10Roadmap volatility: dates that slip and how to plan around themannounced
- 11Compliance: the delayed EU AI Act, sovereignty and Schrems IIannounced
- 12End of BI Platform 4.3 and the dashboards versus chat questionend of maintenance
How the ranking works: each challenge is scored on how often it comes up, in TechEd questions, knowledge units, adverts, search queries and news, then weighted by what is at stake: money, a deadline or regulatory risk. Status words are read from our SAP announcement registry, so they move when the registry moves. A date from SAP is a plan, not a commitment.
AI agents reach the same answers through the find_answers tool of our MCP server, which returns the short answer, what shipped, what is announced and the page to cite.
Statuses change every month. Receive the monthly status update
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