Autonomous ERP
SaaS, PaaS and IaaS with the EDMAR Framework
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Autonomous ERP
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This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
Your models are not failing on algorithms. They are failing on your ERP data.
Drifting master data. Custom extensions nobody documented. Reporting copies that disagree with the system of record. Meaning that changed three years ago and was never written down. None of it matters much when a human reads the report and applies judgment. All of it matters when a system acts on the data by itself.
AUTONOMOUS ERP is a working manual for the layer beneath enterprise AI: the data model, and whether it can be trusted by systems that act on it, before they do.
The EDMAR Framework
ERP Data Model AI-Readiness scores five dimensions of every decision domain in your estate:
- Semantic Clarity: does every field carry clear meaning, unit and currency?
- Structural Integrity: are entities unique and keys consistent across systems?
- Temporal Fidelity: can any record be rebuilt as of any past point in time?
- Lineage & Provenance: can every derived value be traced to its sources?
- Access & Governance: are ownership, classification and access enforced?
Each domain is graded at five maturity levels, from Fragmented to Intelligence-Ready, and each level sets how much autonomy AI may safely have over the decisions built on it. The binding rule is unforgiving and useful: a domain is only as ready as its weakest dimension. Fix that one first.
Across SaaS, PaaS and IaaS
Where your ERP runs changes what you control and what you must prove. This book works the differences honestly: what you can enforce in a SaaS estate you do not own, what a platform layer buys you, and what stays your responsibility no matter who operates the infrastructure.
Who this is for
Chief information, data and technology officers. Enterprise and data architects. ERP programme directors running SAP or Oracle estates. Audit committee members who have to ask whether a system should be permitted to decide.
Deliberately platform-agnostic: no vendor, product or supplier is named anywhere in this book.
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