By sector.
Voice AI deploys differently in each industry. Same evaluation framework; different regulatory regimes, different systems of record, different achievable containment bands. Each page below stays within those boundaries.
- 01Financial servicesVoice AI for financial services: what actually deploys past pilot
In financial services, voice AI deployments live or die on three things: identity verification flows that satisfy KYC controls, integration depth against the core banking and CRM systems of record, and audit-grade observability that survives a regulator's request. Containment is a downstream output, not the input.
Containment band: 20–45%
- 02HealthcareVoice AI for healthcare: what survives clinical and HIPAA review
Healthcare voice AI deploys cleanly on patient-access workflows — scheduling, refills, eligibility, balance — where intent is narrow and the systems of record are well-defined. It does not deploy on clinical triage or diagnosis. The constraint that catches most programmes is integration depth against the EHR and the practice-management system, not the AI itself.
Containment band: 30–55%
- 03InsuranceVoice AI for insurance: claims, policy service, and the boundary with adjusters
Insurance voice AI works on the structured-intake portion of the workflow — first notice of loss, policy servicing, payment status, document requests — and stops at anything that requires a licensed decision. Most of the economic value is in straight-through FNOL and in cutting handle time on calls that still need an adjuster.
Containment band: 25–50%
- 04TelecommunicationsVoice AI for telecommunications: where it pays back and where it doesn't
Telco was the early laboratory for voice AI and shows the clearest picture of where the economics work. Self-service for status, top-ups, plan changes, and field-service scheduling deploys reliably. B2B account management and complex billing disputes don't — and the deployments that pretended otherwise are the ones that quietly rolled back.
Containment band: 35–60%
- 05UtilitiesVoice AI for utilities: meter reads, billing, hardship, and outage
Utilities are an unusually clean fit for voice AI on inbound transactional intents — meter reads, billing queries, payment plans, move-in / move-out — and on outbound outage notifications. The constraint that shapes every deployment is vulnerable-customer protection: the regulators expect demonstrably better, not equivalent, routing once an AI is in the call path. Programmes that treat that as a checkbox underperform; programmes that treat it as a design centre exceed retail containment.
Containment band: 35–55%