AI-Ready Master Data Starts with Better Business Participation | Arch
Summary
The article argues that AI depends on trusted, well-governed data and that poor master data will undermine AI outcomes. It explains that master data decisions often stall because business approvers face friction, fragmented workflows, and limited context. It recommends surfacing only the relevant approval details and moving selected tasks into Microsoft Teams while keeping SAP as the system of record. The piece positions better participation in master data processes as a practical step toward stronger AI readiness.
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Accounting and Taxes
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Enterprise SaaS
Business process automation / Workflow orchestration
SAP integration