Weaving Intelligence
AI: Central
AI + BI
Ideally, Nothing: What Agentic AI Actually Changes About Trusted Master Data
Everyone asks what master data has to become once agents arrive, braced for a list. Jordan M. put the question to his co-author and got two words back: ideally, nothing. What actually changes is the bill, a capital project turned into a metered tap, and the packaging, which costs more than anyone…
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Filed Under Plants: Differentiator, Cost Centre, and the Question Neither Label Asks
For most of two centuries a mushroom was filed as a plant, and the quarrel that finally moved it was never about the specimen: it was about which question the label answered. Maya R. reads the differentiator-or-cost-centre argument the same way. Both labels sort AI-enhanced master data management…
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The Number Was Never Doing the Work: AI, BI, and the Limits of Better Evidence
Jordan M. has spent about a decade saying that a number never changed anybody's mind. This is the essay where he goes looking for the place that claim fails — and finds it three times, in sources he had not read carefully enough, none of them hostile.
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Costing the Promise: The Parts of an AI-MDM Business Case You Can Actually Check
Almost everyone costing an AI-augmented master data management program right now is costing something they have not yet run — and Maya R. starts there rather than hiding it. Her playbook builds the case out of the two things you can actually check before you spend: the mechanism and the price.…
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