FutureCentral Research · White paper 02

Why AI Portfolios Drift and the Three Structures That Hold

Portfolio defenses for decisions under pressure

When the next quarter puts your AI budget under pressure, which decisions could already be settled by a standing rule?

Explore a whole-portfolio review, a protected foundation budget with named users, and written stop criteria applied by an independent reviewer.

Austin PM · October 2026 · Governance perspective · 20-page PDF

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Cover of Why AI Portfolios Drift and the Three Structures That Hold

Three decisions the paper helps you make

01

Review the whole portfolio

Assess applications and foundations together on a fixed calendar, using a consistent scoring method.

02

Protect foundations with named users

State the foundation share of the AI budget and identify the projects that will use each investment.

03

Agree on stop criteria at approval

Write the condition, baseline, and review date. Give the continuation decision to someone other than the sponsor.

Preview the paper

An illustrated executive briefing with a dedicated contents page, two imagined lender cases, a defense map, a stop-decision tree, and five leadership actions.

Interior preview mapping visibility, time horizon, and escalation to three portfolio defenses

Based on published sources. The lender cases are imagined composites and their figures are illustrative. The proposed safeguards and budget mix have not been validated by an AI portfolio comparison study.

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    About Austin PM

    Austin PM founded FutureCentral. He is a professor and entrepreneur who teaches AI, data science, and sustainability to postgraduate and engineering students.