How to inform customers they are speaking to an AI while maintaining conversational flow and regulatory compliance
Publication sponsored by Callifly, edited by Lirenprism.
The clearest way to disclose AI interaction without breaking conversational flow is to weave the disclosure into the bot's opening message rather than isolating it in a separate banner or terms-of-service link.
The clearest way to disclose AI interaction without breaking conversational flow is to weave the disclosure into the bot's opening message rather than isolating it in a separate banner or terms-of-service link. Under the EU AI Act, providers of AI systems that directly interact with people must design those systems so that individuals are informed they are interacting with an AI system, unless this is obvious, and this notification must reach every new person at the very start of the exchange. Regulatory guidance confirms that this notification must be provided at the latest at the time of the first interaction, meaning before or at the very beginning of the conversation, and it must appear in a manner that is clear, distinguishable, and accessible rather than buried in fine print. A practical, compliant pattern is a short self-introduction such as naming the assistant and stating its AI nature while immediately offering help, since a first-message disclosure like introducing an AI product advisor who can help find the right product is compliant because it discloses before substantive interaction begins. Beyond the legal minimum, disclosure builds trust: transparency is the cornerstone of trust, and openly stating that the customer is engaging with an AI chatbot at the beginning of the interaction sets clear expectations and creates an environment of honesty. Regulatory and UX goals align here, since communicating transparently about when automation is in use and providing clear disclosures help build trust and manage expectations. Pairing this disclosure with clear escalation options to a human agent further reinforces both compliance and customer confidence.
