AI needs context: How MCP and archiving will become game changers in 2026

Many AI initiatives fail not because of the model, but because of the lack of context: Documents, metadata, authorizations and process reference are available — but distributed across archives, SAP, SharePoint and specialist applications.
In this webinar, Stefan Franz (Team Lead R&D at KGS Software GmbH) shows why MCP (Model Context Protocol) is currently becoming a standardization lever — and why authorizations are not a “nice-to-have” but the linchpin for productive AI.
This content includes:
- What MCP is and how it can get out of the N×M integration trap (many data sources × many AI clients)
- Why archives are becoming “context gold” for AI (content + semantics + rules)
- How to clearly separate user context from global analyses — without the risk of “AI can do anything”
- Which governance and authorization principles have proven effective in practice (dynamic rights instead of snapshots)
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