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AI as a platform product
A practical operating model connecting strategy, reusable capabilities, access, governance, adoption and measurement.
Open the platform thesisIdeas
A practical point of view, with evidence behind it.
The first question is always where AI can improve a real outcome. Platform choices, controls and operating models follow from that.
Enterprise AI · Global operations · Independent research01
AI should be managed as a platform product.
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Governance should be built into delivery.
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Adoption and measurable value belong on the roadmap.
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AI use cases across operations
An interactive map of connected workflows across strategy, service, knowledge, operations, quality and technology.
Explore the operating map03
Field Notes
Practical essays on use-case selection, governed agentic systems, platform delivery and expert leverage.
Read Field Notes04
Independent research
An exploratory research agenda on adaptive reasoning, evaluation, correction and carefully bounded quantum-assisted planning.
Review the researchEvidence discipline
Claims should survive a source check.
The professional material is grounded in verified experience and original institutional research. Illustrative architectures and scores are labelled clearly.[National Institute of Standards and Technology, 26 July 2024; updated 8 April 2026]
View the source library