{
  "@context": "https://schema.org",
  "@type": "Article",
  "url": "/ai-consulting/ai-governance-policy-template",
  "markdownUrl": "https://www.desaiinfo.net/kb/ai-consulting/ai-governance-policy-template.md",
  "publisher": {
    "name": "Desai InfoTech",
    "url": "https://www.desaiinfo.net"
  },
  "type": "article",
  "slug": "ai-governance-policy-template",
  "pillar": "ai-consulting",
  "order": 5,
  "title": "AI Governance Policy Template for Small Businesses and Nonprofits",
  "metaTitle": "AI Governance Policy Template for SMBs & Nonprofits",
  "description": "A practical AI governance and acceptable use policy template for small businesses and nonprofits: approved tools, data rules, human review and accountability.",
  "keywords": [
    "ai governance policy template",
    "ai acceptable use policy",
    "ai usage policy template",
    "ai policy for small business",
    "nonprofit ai policy",
    "generative ai policy"
  ],
  "published": "2026-10-17",
  "updated": "2026-10-17",
  "summary": "An AI governance policy defines how an organization may use artificial intelligence: which tools are approved, what data can be entered, when human review is required, which uses are prohibited, and who is accountable. For small businesses and nonprofits, a two-to-four-page policy aligned with the NIST AI Risk Management Framework, plus a simple approval process for new uses, is usually sufficient.",
  "keyTakeaways": [
    "A short, clear policy that staff actually read is better than a long one nobody follows.",
    "Tie AI data rules to simple data classification tiers such as public, internal and confidential.",
    "Require human review for any AI output that reaches customers, clients or decisions.",
    "Maintain an approved tool list and a lightweight process for proposing new AI uses.",
    "Review the policy at least annually, because AI tools and regulations change quickly."
  ],
  "faqs": [
    {
      "q": "Does a small business really need an AI policy?",
      "a": "Yes. Staff are likely already using AI tools, and without guidance they may enter confidential or personal data into consumer services. A short policy sets expectations, protects customer and employee data, reduces legal and reputational risk and gives staff confidence to use approved tools productively. It also answers questions from customers, insurers and partners about how you use AI."
    },
    {
      "q": "What frameworks should an AI governance policy align with?",
      "a": "The NIST AI Risk Management Framework is a widely used voluntary framework that organizes AI risk management into govern, map, measure and manage functions. ISO/IEC 42001 is an international management system standard for AI. Organizations with customers in the European Union should also understand the EU AI Act. Small organizations can borrow principles from these without pursuing formal certification."
    },
    {
      "q": "Who should own the AI policy?",
      "a": "A named executive should own the policy, typically the operations leader, IT leader or executive director in a nonprofit, with input from legal or compliance advisors, HR and department heads. Ownership includes keeping the approved tool list current, reviewing new use requests, responding to incidents and updating the policy at least annually."
    },
    {
      "q": "Is this template legal advice?",
      "a": "No. The template is a practical starting point based on common governance practices. Laws governing privacy, employment, consumer protection and AI vary by jurisdiction and industry and change frequently. Have qualified legal counsel review your final policy, especially if you handle health, financial or children's data, or operate in regulated sectors."
    }
  ],
  "related": [
    {
      "title": "AI Consulting",
      "url": "https://www.desaiinfo.net/ai-consulting"
    },
    {
      "title": "AI Readiness Assessment for Small Businesses and Nonprofits",
      "url": "https://www.desaiinfo.net/ai-consulting/ai-readiness-assessment"
    },
    {
      "title": "AI for Nonprofits: Use Cases, Risks and How to Start",
      "url": "https://www.desaiinfo.net/ai-consulting/ai-for-nonprofits"
    },
    {
      "title": "Microsoft Copilot Data Security and Governance Guide",
      "url": "https://www.desaiinfo.net/microsoft-copilot-consulting/copilot-data-security-governance"
    },
    {
      "title": "Azure Governance Framework for Small Businesses",
      "url": "https://www.desaiinfo.net/azure-consulting/azure-governance-framework"
    },
    {
      "title": "IT Security Checklist for Small Businesses and Nonprofits",
      "url": "https://www.desaiinfo.net/managed-it-services/it-security-checklist-small-business"
    }
  ],
  "url_path": "/ai-consulting/ai-governance-policy-template",
  "bodyMarkdown": "Most small organizations need an AI policy before they need an AI strategy. Staff are already using AI tools, and the first job is to make that use safe and consistent. This article explains what an AI governance policy should cover and provides a template you can adapt. It is part of our [AI consulting](https://www.desaiinfo.net/ai-consulting) series. It is not legal advice; have counsel review your final version.\n\n## What is an AI governance policy?\n\nAn AI governance policy is a written set of rules and responsibilities for how an organization selects, uses and oversees AI systems. It covers both everyday use of AI assistants by staff and any AI built into products or services.\n\nA good policy does three things:\n\n1. **Protects** sensitive data, customers, clients and the organization's reputation.\n2. **Enables** staff to use approved tools confidently instead of avoiding AI or using it secretly.\n3. **Assigns accountability** so someone owns decisions about new AI uses and incidents.\n\n## What frameworks inform AI governance?\n\nYou do not need to adopt a framework formally, but borrowing from established ones makes your policy more credible and complete.\n\n| Framework | What it offers | Relevance for small organizations |\n|---|---|---|\n| NIST AI Risk Management Framework | Voluntary framework with govern, map, measure and manage functions | Practical structure for identifying and managing AI risks |\n| ISO/IEC 42001 | Certifiable AI management system standard | Useful reference; certification is rarely needed for small organizations |\n| EU AI Act | Risk-based regulation of AI systems in the EU | Relevant if you serve EU customers or build AI products |\n| Sector rules (for example HIPAA) | Data protection obligations by industry | Determine which data can be used with which tools |\n\n## What should an AI governance policy include?\n\nThe template below has ten sections. Keep each one short and concrete. Replace bracketed text with your details.\n\n### 1. Purpose and scope\n\n> This policy governs the use of artificial intelligence tools and systems by all employees, contractors and volunteers of [Organization]. It applies to AI tools used for work, whether provided by [Organization] or accessed independently, and to AI features in software we use or build.\n\n### 2. Principles\n\n> [Organization] uses AI to improve service and free staff for higher-value work. We use AI responsibly: we protect personal and confidential information, keep humans accountable for outcomes, are transparent about AI use, and avoid uses that could unfairly harm individuals.\n\n### 3. Roles and responsibilities\n\n- **Policy owner:** [Title], accountable for this policy, the approved tool list and AI incidents.\n- **AI review group:** [Titles, for example operations, IT, HR, a program or sales leader], reviews requests for new AI uses.\n- **Managers:** ensure their teams understand and follow the policy.\n- **All users:** use only approved tools, follow data rules and review AI output before use.\n\n### 4. Approved tools\n\n> Only tools on the Approved AI Tools list may be used with [Organization] data. Personal or free consumer AI accounts must not be used for work involving internal or confidential information.\n\nMaintain the list as a table:\n\n| Tool | Approved for | Data allowed | Owner |\n|---|---|---|---|\n| [Enterprise AI assistant] | General drafting, summarizing, research | Public and internal | [IT lead] |\n| [Meeting summary tool] | Internal meeting notes | Internal | [Operations lead] |\n| [Custom knowledge assistant] | Policy Q&A | Internal, permission-filtered | [Owner] |\n\n### 5. Data rules\n\nTie data rules to simple classification tiers.\n\n| Data tier | Examples | AI use |\n|---|---|---|\n| Public | Published website content, press releases | Any approved tool |\n| Internal | Internal procedures, non-sensitive project documents | Approved enterprise tools only |\n| Confidential | Customer or client personal data, financials, HR records, health information, donor details | Only tools specifically approved for this tier, with documented safeguards |\n| Restricted | Passwords, payment card data, regulated records beyond approved uses | Never entered into AI tools |\n\n### 6. Human review and accountability\n\n> Users are responsible for any AI-assisted work they submit, send or act on. AI output must be reviewed for accuracy, appropriateness and bias before it is shared externally, used in decisions or published. AI-generated facts, figures, citations and legal or financial statements must be verified against reliable sources.\n\n### 7. Prohibited uses\n\n> AI must not be used to: make or solely determine decisions about hiring, firing, promotion, compensation, eligibility for services or credit; impersonate a real person; generate deceptive content; process restricted data; circumvent security controls; or create content that is discriminatory, harassing or unlawful.\n\n### 8. Transparency\n\n> We disclose AI use where it could reasonably affect a person's understanding of an interaction, such as automated chat assistants, and follow customer, funder and platform requirements on disclosure.\n\n### 9. New AI uses and vendor review\n\n> Requests to use a new AI tool or apply AI to a new purpose must be submitted to the AI review group. Reviews consider business value, data involved, vendor data handling terms, security, potential for harm and required safeguards.\n\n### 10. Incidents, training and review\n\n> Suspected misuse, data exposure or harmful AI output must be reported to [contact] immediately. All users complete AI training on joining and annually. This policy is reviewed at least every 12 months.\n\n## How should you review new AI tools and vendors?\n\nUse a short checklist for every new tool:\n\n- [ ] What business problem does it solve, and who owns it?\n- [ ] What data will it process, and at which classification tier?\n- [ ] Does the vendor use customer data to train models, and can that be disabled?\n- [ ] Where is data stored and processed, and for how long?\n- [ ] Does it support single sign-on and multi-factor authentication?\n- [ ] Are there audit logs and admin controls?\n- [ ] What happens to data when the contract ends?\n- [ ] What could go wrong, and what safeguards reduce that risk?\n\nFor Microsoft environments, our [Copilot data security and governance](https://www.desaiinfo.net/microsoft-copilot-consulting/copilot-data-security-governance) guide covers the specific controls available, such as sensitivity labels and data loss prevention.\n\n## How do you roll out an AI policy?\n\nA policy only works if people know about it and find it reasonable.\n\n1. Draft with input from department heads, so rules reflect real work.\n2. Get leadership approval, and in nonprofits share it with the board.\n3. Publish it alongside the approved tool list in an easy-to-find location.\n4. Train staff with examples relevant to their roles, not just the document.\n5. Make it easy to ask questions and propose new uses.\n6. Review usage and incidents quarterly in the first year.\n\n## How does AI governance connect to broader IT governance?\n\nAI governance builds on existing controls: identity and access management, data classification, security awareness training and vendor management. Organizations with strong foundations find AI governance much easier. See our [IT security checklist for small business](https://www.desaiinfo.net/managed-it-services/it-security-checklist-small-business) and, for cloud environments, the [Azure governance framework](https://www.desaiinfo.net/azure-consulting/azure-governance-framework).\n\n## How Desai InfoTech helps with AI governance\n\nDesai InfoTech helps organizations adapt this template to their tools, data and sector, configure the technical controls that enforce it and train staff. Governance is usually part of our [AI readiness assessment](https://www.desaiinfo.net/ai-consulting/ai-readiness-assessment). [Contact us](https://www.desaiinfo.net/contact) to get started."
}