TwilioJesse SumrakExplainer
Your customers don't hate AI — they hate you lying about it
Summary
Twilio research reports a major gap between brands’ and consumers’ accounts of AI-agent disclosure: 81% of brands say agents identify themselves immediately, while only 22% of consumers report that experience. Teams may treat a system-prompt line, widget label, or one-time channel message as disclosure, even though customers can miss it or encounter a different experience on SMS or voice. Recommended practice includes naming “AI agent” at the first turn, repeating disclosure across channels, explaining accessible data and decision logic, and offering an immediate route to a person. It also recommends checking transcripts rather than trusting configuration, using conversation analysis to verify whether disclosure fired. Research cited says 76% expect identification at the start, 49% want data-access transparency, and 54% trust AI more when its logic is explained.
Context
Brands and consumers report sharply different experiences of AI-agent disclosure. The cited research attributes the gap partly to disclosures that are easy to miss, limited to one channel, or implemented as incidental vendor behavior rather than an explicit transparency decision. Consumers also want clarity about data access and the reasoning behind AI decisions.
Approach / What changed
Disclose plainly before the conversation begins, use the words “AI agent,” repeat the disclosure when a conversation moves between channels, explain what happens next and how to reach a person, and inspect conversation transcripts to verify that disclosure actually fired. The guidance also recommends explaining accessible data and decision logic.
Takeaways
81% of brands say their AI agents identify themselves immediately, but only 22% of consumers say that happens; 90% of consumers failed when tested on identifying text-based AI agents.
Consumers want transparency about more than identity: 49% want to know what data an AI agent can access, and 54% say clear explanations of AI logic increase their trust.
Disclosure should be measured in actual conversations rather than inferred from configuration. Transcript analysis can verify whether the disclosure fired across channels and interactions.
Source and freshness
- Source
- twilio.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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