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Operating model paper

The data and AI operating model

By Richard White ·

Free, no form.

Abstract

An additional product review connects ownership, adoption, reliability, funding and retirement to the synthetic receivables example without prescribing a reporting structure.

A practical model for business ownership, stable delivery teams and shared enterprise controls, for CIOs, CTOs, chief data officers and the people who run delivery. A platform investment cannot resolve unclear business ownership or a delivery queue that grows faster than capacity.

The paper compares four organizational shapes and the failure each one invites, then sets out team design, the platform as a service, domain roles, decision rights, funding, a staged transition from prove to make it default, and a scorecard that sets value against reliability and delivery speed.

It works at two scales. A large or regulated enterprise can map it to existing lines of defense; a growth company or portfolio company can start with one outcome, one team and a named executive who challenges the release.

In the paper

Three passages, as published

Assign time as well as names

A named owner without authority or time is just a routing label.

One owner per decision

Joint participation doesn’t require anonymous joint accountability.

No invented business case

Set targets after you’ve measured the baseline.

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