<h2 id="5ac8406b-7181-451b-b618-eac77549cfef" data-toc-id="5ac8406b-7181-451b-b618-eac77549cfef" style="text-align: left; font-size: 24px; line-height: 1.2;">Write down the boundaries before you scale</h2><p>AI training should help people understand what they can do, what they need to check and when to ask for help. A useful governance guide turns those questions into everyday decisions instead of leaving everyone to guess.</p><h2 id="f760be32-4bd3-4d37-ba83-77d3300153f4" data-toc-id="f760be32-4bd3-4d37-ba83-77d3300153f4" style="text-align: left; font-size: 24px; line-height: 1.2;">Start with the work and its risks</h2><p>A customer email, an internal brainstorm and a decision about someone’s access to a service do not carry the same consequences. List the actual uses your team is considering. Identify the information involved, who could be affected and which actions require human review.</p><p>Keep the guidance specific enough that a person can use it during a task. A tool being available does not mean every use of it is approved.</p><h2 id="aae790df-b756-4a7b-a00d-2ae2dc0d0b0b" data-toc-id="aae790df-b756-4a7b-a00d-2ae2dc0d0b0b" style="text-align: left; font-size: 24px; line-height: 1.2;">Answer four practical questions</h2><ul><li><p><strong>Which tools and environments are approved?</strong> Name the account or workspace, permitted uses and the person responsible for reviewing changes.</p></li><li><p><strong>What information may go there?</strong> Define data categories and restrictions for each approved environment. Client, financial and confidential information require decisions based on applicable obligations, agreements and controls; do not assume every tool has the same protections.</p></li><li><p><strong>Who checks the output and action?</strong> Name the reviewer, verification steps and approval boundaries before information reaches a client or an agent changes a system.</p></li><li><p><strong>What happens if something goes wrong?</strong> Explain how to pause the work, report the issue, correct affected output and escalate to the responsible person.</p></li></ul><h2 id="11cfe819-7884-459d-967b-c5cc13f3e8a3" data-toc-id="11cfe819-7884-459d-967b-c5cc13f3e8a3" style="text-align: left; font-size: 24px; line-height: 1.2;">Make a starter guide people can find</h2><p>A one-page guide can be a useful entry point. Include an owner, version date, review date and links to detailed policies. It is a starting aid, not a complete governance program or evidence of compliance.</p><p>Try the guide against a realistic example: someone wants AI help drafting a client report. Can they identify the approved environment, permitted information, source checks and reviewer without guessing? Where they hesitate, improve the guidance.</p><h2 id="8c934c53-ba78-4726-a473-62162b0ce149" data-toc-id="8c934c53-ba78-4726-a473-62162b0ce149" style="text-align: left; font-size: 24px; line-height: 1.2;">Review it as the work changes</h2><p>Clear rules can reduce uncertainty, but they do not guarantee faster or safer adoption. Train people on the guide, collect questions and review actual incidents and near misses. Update it when tools, uses or obligations change.</p><p>The <a target="_blank" href="https://www.nist.gov/itl/ai-risk-management-framework">NIST AI Risk Management Framework</a> offers a voluntary reference for a broader risk-management approach. Your implementation still needs to fit your organization.</p><p>What is the first AI-use question your team cannot currently answer in writing? Make that answer clear this week.</p>

Create practical AI-use boundaries for approved tools, data, human review and escalation, with a named owner and regular review.

AI Governance 101: What Every Organization Needs Before Scaling AI Adoption

Write down the boundaries before you scale

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Cre8ive Origins Blog | AI, Education & Entrepreneurship Insights

Exploring the intersection of AI, education, entrepreneurship, and human potential, from the team at Cre8ive Origins.

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AI Governance 101: What Every Organization Needs Before Scaling AI Adoption

AI Governance 101: What Every Organization Needs Before Scaling AI Adoption

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