Plain-language guide for club leaders

What is AI governance for a private club?

AI governance simply means deciding which tools staff may use, what information must stay out, who reviews AI-assisted work and who approves a new use.

Evan Sherwood, CCM, CCEUpdated June 24, 20268-minute read

Why clubs need clear AI rules now

AI is already entering club operations through staff habits, vendor features and leadership questions. Without shared rules, each department may make its own assumptions about acceptable tools, confidential information and how closely work should be reviewed.

The answer is not a blanket ban or a rushed software purchase. Start by seeing what is already happening, naming who is responsible and giving staff clear limits.

What clear AI rules include

Who is responsible

One executive owns the overall direction. Each approved use also has a staff member responsible for the work, review and result.

Approved tools

Staff know which accounts and features are approved, conditional or prohibited—and who may authorize a new one.

Information limits

Staff know what information may be used, what must stay out and when redaction or specialist advice is required.

Staff review

A person remains responsible for decisions, member-facing messages and important outcomes. AI never approves its own work.

Tool and vendor review

Compare how tools handle information, who can access them, how they fit the work, what the contract says and how the club can leave.

Staff guidance and a place for questions

Staff receive guidance for their roles, know where to report a problem and hear when tools or rules change.

The House Standard: understand, decide, try and keep current

House & Roster uses four simple stages so the club can answer today’s questions, try useful work carefully and avoid an open-ended technology project.

01

Map

See which tools and features are already in use, what information is involved, who is making decisions and where staff feel pressure.

02

Decide

Agree on allowed tools and uses, information limits, staff review, purchasing questions and what to do when something goes wrong.

03

Try

Test one or two useful tasks, name the person responsible and compare the result with the club’s current process.

04

Keep current

Update staff guidance, review new tools and uses, learn from problems and give leadership a concise update.

Before moving forward: confirm who is responsible, which information is allowed, who reviews the work and how the club will judge whether it helped.

What AI governance is not

  • It is not a software purchase. A tool may help with the work, but it cannot decide who is responsible or what use is appropriate.
  • It is not a promise to eliminate risk. The goal is to reduce avoidable risk and make accountability clear.
  • It is not a replacement for counsel, IT or cybersecurity specialists. The club still relies on those specialists for advice within their expertise; clear AI rules show when they should be involved.
  • It is not autonomous club operations. People remain accountable for decisions, messages and outcomes.

A practical first 90 days

  1. 1

    See where AI is already being used

    Identify the tools, staff habits, vendor features, information involved and questions that need an answer.

  2. 2

    Set clear interim rules

    Tell staff which tools they may use, what information must stay out and when a person must review the work.

  3. 3

    Try one useful task

    Choose a low-risk task, use approved information, name the staff member responsible and compare the result with today.

  4. 4

    Train and review

    Train the people doing the work, measure results and present lessons and next decisions to leadership.

Standards and sources

The House Standard draws on the voluntary NIST AI Risk Management Framework, the NIST Generative AI Profile and Federal Trade Commission information-protection guidance. These sources inform the work; they do not represent certification, guaranteed compliance or legal advice.

A practical next step

Review your club’s AI readiness.

Start with where AI is already appearing and the decisions leadership needs to make now.

Review Your AI Readiness