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Trillet

The voice operating layer that answers, verifies, routes, and acts on calls across your live business systems.

WebAPIDocker (on-premise)

About Trillet

Trillet is an AI-powered voice operating layer designed for enterprises and agencies that need more than a conversational voice bot. It handles inbound calls end-to-end — verifying caller identity (via 2FA or voice biometrics), grounding responses in live CRM and business system data, executing authorized actions such as bookings, payments, and ticket creation, and completing post-call follow-through automatically. It is purpose-built for regulated industries including healthcare, financial services, debt recovery, and wireless retail.

Trillet serves enterprises requiring strict compliance and data sovereignty, offering on-premise Docker, private-cloud, and managed deployment options with configurable data residency, ISO 27001, SOC 2 Type II, HIPAA, GDPR, and TCPA compliance built in. It also caters to agencies looking to deploy white-labeled AI voice agents for multiple clients under their own brand, with a multi-tenant operator console and rapid client onboarding measured in days rather than months.

Key benefits demonstrated in production include an 85% complex call resolution rate, 80% cost reduction, 44.7% call-to-booking conversion in healthcare, 89% automated identity verification in financial services, and a 10× reduction in call abandonment for debt recovery. Every call action is fully audited with real-time monitoring and a 99.97% stability SLA.

Key Features

  • Identity verification on every call via 2FA, voice biometrics, or custom compliance layer
  • Live CRM grounding — pulls real-time account history, policies, and availability during calls
  • Direct system actions including bookings, password resets, ticket creation, and CRM updates
  • Automated post-call follow-through: confirmations, CRM updates, and escalation routing
  • On-premise Docker and private-cloud deployment with configurable data residency
  • White-label agency console for multi-client deployment with per-client branding and margin economics

Details

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