Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individual AI applications. While this approach works well for isolated assistants and copilots, it treats enterprise knowledge as application-specific context rather than a shared enterprise asset.As organizations deploy more AI applications and agents, this model begins to break down. Different teams pro
AI implementeren in jouw bedrijf?
Stekz helpt bedrijven met het implementeren van AI en automatisering. Van strategie tot werkende code.
Plan een gesprek
