What Is an AI Disclosure Policy? Everything Your Business Needs to Know

Artificial intelligence is no longer just for tech giants. If your business uses ChatGPT to draft emails, deploys chatbots on your website, or relies on AI-powered scheduling tools, you're using AI—and you may need to tell people about it.

That's where an AI disclosure policy comes in. Think of it as your public statement about how your business uses artificial intelligence, what data it touches, and what safeguards you have in place. It's not just a nice-to-have document anymore. With new regulations taking effect across the United States and around the world, it's becoming a legal necessity.

Let's break down everything you need to know about AI disclosure policies: what they are, why they matter, what should be in them, and how to create one that actually protects your business.

What Exactly Is an AI Disclosure Policy?

An AI disclosure policy is a document that explains to your customers, employees, and other stakeholders when, where, and how your business uses artificial intelligence. It's your transparency statement about AI.

At its core, this policy answers several key questions:

• What AI tools and systems does your business use?
• Where in your operations does AI play a role (customer service, hiring, pricing, content creation)?
• What data does your AI access or process?
• Who oversees these AI systems?
• How can people opt out or request human review?
• What happens if the AI makes a mistake?

Unlike your standard privacy policy or terms of service, an AI disclosure policy specifically focuses on automated decision-making and intelligent systems. It's increasingly separate from other policies because AI introduces unique risks and considerations that deserve dedicated attention. If you are wondering whether your business actually needs one, read our guide on whether you need an AI disclosure policy.

Why Your Business Needs an AI Disclosure Policy

You might be thinking, "We're just a small business using basic AI tools. Do we really need a formal policy?" The short answer: probably yes. Here's why.

Legal Requirements Are Expanding Rapidly

The regulatory landscape for AI has shifted dramatically. What was once a voluntary best practice is now becoming legally required in many jurisdictions.

Colorado's AI Act, which takes effect June 30, 2026, requires businesses using AI for "consequential decisions" to provide clear disclosures to Colorado residents. See our Colorado AI Act deadline and compliance guide for the full breakdown. Consequential decisions include things like employment decisions, credit determinations, educational opportunities, housing, insurance, and legal services. If your business serves Colorado customers or employees and uses AI in these areas, you need disclosures.

NYC Local Law 144 (the Automated Employment Decision Tool law) requires employers using AI in hiring or promotion decisions to disclose this to candidates and employees, conduct annual bias audits, and publish results. This applies to any employer making decisions about New York City residents, regardless of where your business is located.

California's CPRA (California Privacy Rights Act) requires businesses to disclose when they use automated decision-making technology that produces legal or similarly significant effects. If you're doing business in California and your AI impacts consumers in meaningful ways, you need to tell them.

The EU AI Act, while not directly applicable to all U.S. businesses, influences global standards. If you have EU customers or operations, its transparency requirements may apply to you—and many states are looking to the EU framework when drafting their own laws.

These aren't theoretical future regulations. They're in effect now, with enforcement ramifications including fines, legal action, and regulatory scrutiny.

The FTC Is Watching

The Federal Trade Commission has made it clear: misleading consumers about AI is illegal under existing consumer protection laws. The FTC has issued guidance stating that companies must be transparent about AI use and cannot make deceptive claims about products or services being AI-powered (or human-powered when they're not).

In practical terms, if your customer service chatbot pretends to be human, or if you claim "personalized human expertise" when an algorithm is making decisions, you're potentially violating FTC rules—even without AI-specific legislation.

Trust Is a Business Asset

Beyond legal compliance, transparency builds trust. A 2025 survey found that 78% of consumers are more likely to do business with companies that are upfront about their AI use. Conversely, discovering hidden AI can damage your reputation.

When customers know you use AI and understand how it works in your business, they're more comfortable. When they feel deceived, they leave—and they tell others.

You're Probably Using More AI Than You Think

Many business owners assume they're not using AI because they don't have custom machine learning models. But if you're using any of these common tools, you're using AI:

• ChatGPT, Claude, or Copilot for content creation or customer communication
• Grammarly or similar writing assistants
• Email marketing platforms with predictive send-time optimization
• Chatbots on your website
• Calendar tools with smart scheduling
• Accounting software with predictive categorization
• CRM systems with lead scoring
• Recruitment platforms with resume screening (learn about legal requirements for AI tools at work)
• Dynamic pricing tools
• Fraud detection in payment processing

The threshold for "using AI" is lower than most people realize.

Who Needs an AI Disclosure Policy?

The simple answer: any business using AI in ways that affect people.

More specifically, you need an AI disclosure policy if:

• You use AI in employment decisions (resume screening, interview analysis, scheduling, performance monitoring)
• Your AI interacts with customers (chatbots, recommendation engines, customer service automation)
• You use AI for consequential decisions (credit decisions, pricing, access to services, insurance determinations)
• Your AI processes personal data (especially sensitive categories like health, financial, or biometric data)
• You operate in regulated jurisdictions (Colorado, California, New York City, or serve customers in these locations)
• You're in a regulated industry (healthcare, finance, legal services, education)

Even if you're not legally required to have one yet, implementing a disclosure policy now positions you ahead of regulatory changes and demonstrates good corporate governance.

What Should Your AI Disclosure Policy Include?

An effective AI disclosure policy doesn't need to be a hundred-page technical document. It should be clear, comprehensive, and accessible. Here are the essential elements:

1. Scope and Purpose

Start by explaining what the policy covers. Be specific about which business operations involve AI and which don't.

Example: "This policy describes how [Business Name] uses artificial intelligence and automated decision-making tools in our customer service operations, marketing activities, and internal business processes."

2. Inventory of AI Systems

List the AI tools and systems you use, organized by function. You don't need to reveal proprietary technical details, but you should be clear about where AI appears in your business.

Example sections might include:

• Customer interactions (chatbots, email automation)
• Marketing and communications (content generation, ad targeting)
• Operations (scheduling, inventory management)
• Human resources (applicant tracking, performance analytics)

For each system, briefly explain its purpose. "We use an AI-powered chatbot to provide 24/7 responses to common customer questions about order status, return policies, and product availability."

3. Data Handling and Privacy

Explain what data your AI systems access, process, or store. This should connect to your broader privacy policy but provide AI-specific details.

Address:

• What categories of data the AI uses (contact information, purchase history, behavioral data, etc.)
• Whether data is retained or processed in real-time only
• Whether data is shared with third-party AI providers
• How you protect data security in AI systems
• How individuals can access or delete their data

4. Human Oversight and Review

One of the most important elements is explaining that humans are still in the loop. Describe what decisions AI makes autonomously versus what requires human review.

Key points to cover:

• What level of human oversight exists for different AI systems
• How AI recommendations are reviewed before final decisions
• Who in your organization is responsible for AI system oversight
• How often AI systems are reviewed for accuracy and bias

Example: "While our chatbot handles initial customer inquiries, complex issues are automatically escalated to human customer service representatives. All AI-suggested responses are logged and reviewed weekly by our customer service manager."

5. Rights and Options

Tell people what control they have. This is especially important under laws like Colorado's AI Act.

Include:

• How to request human review of an AI decision
• How to opt out of AI interactions when possible
• How to appeal or contest AI-based decisions
• Contact information for AI-related questions or concerns

6. Accuracy and Limitations

Be honest about what your AI can and can't do. Acknowledge potential for errors or biases.

Example: "Our AI systems are designed to be helpful and accurate, but they may occasionally produce errors or unexpected results. We regularly test and update our systems to improve performance and reduce bias, but no AI is perfect."

7. Updates and Changes

Explain how you'll notify people when you add new AI systems or change how existing ones work.

Example: "We will update this AI Disclosure Policy when we implement new AI systems or make significant changes to existing ones. We will post the updated date at the top of this policy and notify registered users via email for material changes."

8. Contact Information

Provide a clear way for people to ask questions, raise concerns, or request human review.

How to Create Your AI Disclosure Policy: A Practical Process

Creating an effective AI disclosure policy doesn't have to be overwhelming. Follow these steps:

Step 1: Audit Your AI Use

Before you write anything, you need to know exactly what AI you're using. Conduct an internal audit:

• Survey departments about AI tools they use (marketing, HR, customer service, operations)
• Review software subscriptions for AI-enabled features
• Check with your IT team or vendors about embedded AI
• Document each tool's purpose and what data it accesses

Create a simple spreadsheet: Tool Name | Purpose | Department | Data Used | Decision Type | Human Oversight.

Step 2: Assess Risk and Compliance Requirements

Not all AI use carries the same risk or regulatory burden. Categorize your AI systems:

• High-risk: Makes consequential decisions about people (hiring, credit, access to services)
• Medium-risk: Influences but doesn't determine outcomes (recommendation systems, content personalization)
• Low-risk: Minimal impact on individuals (internal productivity tools, basic automation)

Check which regulations apply to your business based on your location, industry, and the types of AI decisions you make.

Step 3: Draft Clear, Plain-Language Disclosures

Using the elements outlined above, write your policy in language your customers and employees can actually understand. Avoid:

• Technical jargon ("neural networks," "machine learning algorithms")
• Vague statements ("we may use AI for various purposes")
• Legal boilerplate that obscures meaning

Instead, use:

• Concrete examples ("our chatbot answers questions about store hours and return policies")
• Simple explanations ("AI-assisted" rather than "leveraging advanced natural language processing")
• Active voice and direct statements

Step 4: Implement Review and Oversight

Your policy describes human oversight, so make sure that oversight actually exists. Designate someone in your organization as responsible for:

• Monitoring AI system performance
• Reviewing AI decisions periodically
• Handling requests for human review
• Keeping the disclosure policy updated

For small businesses, this might be the owner, operations manager, or someone in HR. The key is having clear accountability.

Step 5: Make It Accessible

Your AI disclosure policy does no good if no one can find it. Make it easily accessible:

• Post it prominently on your website (footer link, dedicated transparency page)
• Link to it in your privacy policy and terms of service
• Include it in employee handbooks if you use AI in HR
• Reference it at points of AI interaction ("This chat is powered by AI. Learn more about our AI use.")
• Provide it to job applicants if you use AI in hiring

Step 6: Review and Update Regularly

AI evolves quickly, and so will your use of it. Set a regular review schedule—quarterly or at minimum annually—to:

• Add new AI systems you've implemented
• Remove tools you've discontinued
• Update descriptions based on how you're actually using tools
• Incorporate new regulatory requirements
• Revise based on user feedback or questions

Common Mistakes to Avoid

As you create your AI disclosure policy, watch out for these common pitfalls:

Being too vague: "We may use AI for business purposes" tells people nothing useful. Be specific.

Overpromising AI capabilities: Don't claim your AI is more sophisticated, accurate, or unbiased than it really is. The FTC considers this deceptive.

Forgetting about third-party AI: If your website platform, payment processor, or marketing tool uses AI, that counts. You may need to disclose it.

Writing for lawyers, not humans: Your policy should be readable by your actual customers and employees, not just your legal counsel.

Creating it and forgetting it: An outdated disclosure policy may be worse than none at all, as it can become inaccurate and misleading.

Not connecting disclosures to actual practice: If your policy says humans review all AI decisions but they don't, you've created both a compliance problem and a credibility problem.

Practical Action Plan

Ready to create your AI disclosure policy? Here's your step-by-step action plan:

This week:

• Conduct an initial audit of AI tools your business uses
• Identify which regulations might apply to your business (Colorado AI Act if you serve Colorado residents, NYC law if you hire in NYC, etc.)
• Assign someone to own your AI compliance efforts

This month:

• Complete a comprehensive AI inventory across all departments
• Categorize your AI systems by risk level
• Draft your initial AI disclosure policy using the framework above
• Have someone outside your business read it to check for clarity

Ongoing:

• Publish your policy prominently on your website
• Train employees on AI disclosure requirements
• Set quarterly reminders to review and update your policy
• Monitor regulatory developments in your state and industry
• Document your human oversight processes

Moving Forward with Confidence

Creating an AI disclosure policy might feel like one more thing on your already-full plate, but it's an investment in your business's future. As AI becomes more embedded in everyday business operations and regulations continue to expand, transparency isn't optional—it's essential.

The good news is that you don't have to figure this out alone. Tools exist to help small businesses navigate these complex compliance requirements without hiring expensive legal teams or spending weeks researching regulations.

Frequently Asked Questions

If you're ready to create a comprehensive AI disclosure policy tailored to your specific business needs, Attestly can help. Our platform generates customized AI compliance documents based on your actual business operations and the regulations that apply to you—turning hours of research and drafting into a straightforward, guided process.

The most important step is simply starting. Your customers, employees, and regulators will all appreciate your transparency, and you'll build a stronger, more trustworthy business in the process.