How to Write an AI Disclosure Page That Actually Complies
Enterprise buyers and regulators are asking for AI disclosure pages in 2026. Here's what they must contain, real examples, and how to create one that satisfies legal requirements across jurisdictions.
Why AI Disclosure Pages Matter in 2026
Enterprise procurement teams now routinely request AI disclosure pages before signing contracts. Regulators across the US and EU are formalizing requirements. A missing or inadequate disclosure page can stall deals, attract regulatory scrutiny, and undermine user trust.
This guide covers what a compliant AI disclosure page must contain in 2026.
The Legal Foundation
Two frameworks drive current disclosure requirements:
EU AI Act (Article 52) — Requires operators of AI systems to inform users they are interacting with AI. For customer-facing AI, this must be clear, accessible, and in plain language.
White House AI Framework (March 2026) — Explicitly calls for public-facing AI transparency documentation covering system capabilities, data practices, and user rights.
Required Elements
An AI disclosure page must cover the following:
1. What AI Systems You Use - Name the AI providers (OpenAI, Anthropic, Google, etc.) - Describe the specific AI capabilities deployed - Explain where AI is and is not used in your product
2. What the AI Does - Plain-language description of AI functions - What decisions or outputs the AI produces - The scope of AI involvement in your product
3. What the AI Does NOT Do - Boundaries and limitations - Decisions that require human review - Areas where AI is explicitly excluded
4. Human Oversight Mechanisms - How your team monitors AI outputs - Escalation paths when AI cannot handle a situation - How errors are identified and corrected
5. Data Practices - What user data the AI processes - Whether user data is used to train models - How AI-processed data is stored and retained - Third-party AI providers who receive data
6. User Rights - How users can opt out of AI-assisted features - How to request human review - How to raise concerns or report issues - Links to your Privacy Policy and Terms of Service
7. Contact Information - How to contact your team about AI concerns - Applicable regulatory contact points (for EU users)
Common Mistakes to Avoid
Too vague: "We use AI to improve your experience" tells users nothing and satisfies no regulatory requirement.
Burying it: The disclosure must be reasonably accessible — not hidden in a 40-page terms document.
Not updating it: When you add new AI capabilities, the disclosure must be updated promptly.
Generic boilerplate: A disclosure that doesn't describe your specific AI usage is a compliance risk, not an asset.
Format Guidance
- •Use plain language. Avoid legal or technical jargon where possible.
- •Structure with clear headings so users can find what they need.
- •Date the document and indicate when it was last updated.
- •Include a "Last Reviewed" date — regulators notice stale documentation.
Generating a Compliant Disclosure
CompliAI generates AI Disclosure Pages personalized to your specific product, AI providers, and jurisdiction. The assessment takes under 5 minutes; the document is ready in seconds.
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