> For the complete documentation index, see [llms.txt](https://open-future-forum.gitbook.io/open-future-forum-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://open-future-forum.gitbook.io/open-future-forum-docs/public-report-companions/cmo-ai-leverage.md). # CMO AI Leverage Report companion A reading and discussion companion for an open future forum public report. This chapter is practical guidance, not legal, financial, security, or investment advice. ## Start with the source Read the [public report](https://openfutureforum.com/research/cmo-ai-leverage-report) before using this companion. The report—not this page—is the authoritative source for its methods, dates, sample descriptions, findings, and limitations. This handbook does not restate unverified figures or imply that a finding applies outside the population and period described by the source. ## Read in three passes First, identify the population, method, time period, definitions, and limitations. Second, separate observations from interpretation: mark what the report directly supports and what your team is inferring. Third, translate only the most decision-relevant observations into questions for your own operating context. A public benchmark can challenge assumptions, but it does not replace internal evidence. ## Executive discussion guide * Which finding, definition, or framing is most relevant to a decision already on our agenda? * Where does our context differ from the source population or time period? * What internal evidence would confirm or challenge the apparent implication? * Which executive owns the follow-up, and what decision could result? * What should remain a question rather than be presented as a conclusion? ## From reading to action Turn the discussion into one bounded test. Record the current baseline, the decision hypothesis, the smallest responsible intervention, the evidence window, and the stop rule. Revisit the source when communicating the result so that an internal outcome is not mistakenly attributed to the public report. ## Open Future Forum recommendation **Recommendation:** discuss the report with peers who hold comparable accountability, while protecting confidential company and personal information. Use peer conversation to surface questions and alternative interpretations; retain decision authority inside the organization. ## Public resources * [Read the report](https://openfutureforum.com/research/cmo-ai-leverage-report) * Watch: [What is The CMO AI Leverage Report?](https://www.youtube.com/watch?v=lRwgJDuivwM) * [Open Future Forum research library](https://openfutureforum.com/research/) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://open-future-forum.gitbook.io/open-future-forum-docs/public-report-companions/cmo-ai-leverage.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.