How to Evaluate a Voice AI Platform: An Enterprise Buyer’s Checklist
A 40-point checklist for evaluating voice AI vendors: capabilities, security, deployment, integrations, pricing, and red flags to watch for.
Read articleWhat enterprise security and compliance actually require from a voice AI deployment, explained without the legalese.
Voice AI handles conversations, and conversations can contain personal data. That puts security and compliance at the centre of any serious deployment. Here's what the acronyms actually require — in plain language — and what to demand from a vendor.
These are about how the vendor runs its security program: documented controls, monitoring, incident response, and regular independent audits. They don't guarantee any single feature, but they tell you the organisation takes security seriously and is checked by a third party. Ask for current reports.
GDPR is about respecting people's rights over their data: lawful basis, data minimisation, the right to access and deletion, and not moving data somewhere it shouldn't go. For voice AI, that means capturing only what's needed, retaining it only as long as useful, and supporting deletion requests. Regional residency options matter for sovereignty.
If you're in US healthcare, HIPAA governs protected health information. A HIPAA-ready vendor will sign a Business Associate Agreement, isolate and encrypt data, limit access, and log everything. "HIPAA-ready" should come with specifics, not just a logo.
Compliance is not a feature you switch on — it's a posture you verify. Logos are a starting point; reports, BAAs, and architecture answers are the proof.
Get current SOC 2 / ISO reports, a data-flow diagram, the retention settings, the sub-processor list, and — if relevant — a BAA. If a vendor can't produce these quickly, treat it as a finding.
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