Every new interface goes through the same phase: people are curious, a little wary, and quick to judge whether it's worth their time. Digital humans are no different. Get the trust question right, and an avatar becomes a genuine extension of your brand. Get it wrong, and it becomes the thing people try to click past.
A text chatbot sets modest expectations - it's obviously software, and people forgive its limits. A digital human looks and sounds like it's trying to be a person, which raises the bar. If it mishears a question, responds a beat too slowly, or gives an answer that doesn't quite fit, the gap between expectation and reality feels bigger than it would with plain text.
Being upfront that the visitor is talking to an AI avatar - rather than trying to pass it off as a human - consistently performs better than pretending otherwise. People are comfortable with AI; they're uncomfortable being misled about it.
A highly polished, photorealistic avatar that occasionally gives a confused or off-brand answer erodes trust faster than a simpler-looking one that's reliably accurate. Visual quality helps, but consistency of behaviour matters more.
An avatar that confidently guesses when it's unsure damages trust badly, because the mistake is delivered with a human face attached. Being able to say "I'm not sure - let me connect you with someone who can help" is a feature, not a failure.
A calm, measured tone suits healthcare or financial guidance; something warmer and more energetic might suit retail or hospitality. A mismatched tone - overly cheerful in a serious context, or flat in a customer-facing one - reads as insincere.
A long pause before an avatar speaks breaks the illusion of conversation more than the same pause would in a text chat, because the person is watching a face that's supposed to be listening. Where a response will take a moment, a small acknowledgement gesture or filler cue keeps the interaction feeling natural.
Because Trulience avatars are built with fine-grained control over appearance, voice, and behaviour - including SSML for controlling delivery - businesses can tune tone and pacing to match the context, rather than settling for one generic assistant personality across every use case.
Trust in a digital human is earned the same way it's earned by a person: through honesty about what it is, consistency in how it behaves, and the humility to admit when it doesn't know something.