CallConsent
A runtime-agnostic compliance layer for logistics voice AI that delivers required disclosure, gates non-consented calls, and produces a signed evidence receipt for every conversation.
Logistics teams are putting voice agents on high-volume operational and outbound calls, but the evidence of consent, disclosure, caller identity, and jurisdiction is often trapped inside a particular runtime or scattered across systems. If a challenged call carries statutory exposure, a dashboard saying the policy was enabled is not the same as proving what happened on that call. The opening is a neutral layer whose product is the receipt itself: an attributable record created before the call proceeds.
The logistics operator or compliance owner running voice-AI calls on an existing runtime and accountable for whether each outbound contact had valid consent and disclosure.
A hard-dated European disclosure trigger, quantified U.S. calling liability, and a clear runtime-agnostic gap create an imminent problem with strong software leverage.
The initial logistics voice-AI segment is narrow, legally load-bearing receipt correctness raises liability, and the voice platforms being wrapped could add stronger native compliance features.
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