Skip to content

Perspectives

Long-form notes on operating intelligence and governed AI.

Working notes from inside engagements, from the operating reality of REITs and large real estate companies, and from the discipline of building agents on top of governed semantic layers. Written for senior operators who already know AI is real and want to understand why it keeps failing inside their companies.

  1. 01

    Thesis

    Most enterprises don't have an AI-agent problem. They have an operating-intelligence problem.

    AI maturity surveys are flat. Pilots run hot, production stalls. The model is rarely the issue. Fragile truth is.

    May 5, 20269 min readRead note

  2. 02

    Method

    Five readiness paths: how to recommend not building.

    Build is one of five outcomes from a serious AI diagnostic. Three of the others are forms of saying no, on purpose.

    May 5, 20268 min readRead note

  3. 03

    Worked example

    What a Minimum Viable Foundry looks like in a REIT.

    Asset management as the first wedge: the entities, the sources, the truth profile, the queries, the agent ladder.

    May 5, 202610 min readRead note

Next step

Test the thinking against your operating model.

If something here lines up with what you are seeing inside your company, the cheapest next step is a 30-minute call. We will map one operating area with you and you will leave with three candidate workflows and a no-pressure decision packet.

Map one operating area with us