AI Call Management
Operational policies determine which automated requests stay in self-service and which need a person.
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IDENTIFY AI CALLERS
Uncover synthetic speech before committing agent time
Synthetic-speech findings help fraud + service teams decide when a call needs further verification or a different handling path. Your systems retain control of routing and authorization.
A speech finding for your call-handling decisions
Speech analysis looks for AI generation. The finding does not establish a caller’s identity, intent or permission to act. Your policies combine it with the request, account context + any uncertainty.
Sources: Gartner, September 2026: 297 security leaders, prior-year incidents. Accenture, 2026: 25,590 consumers, 16 countries. Gartner, August 2026: 3,566 customers. The consumer figures reflect preferences, not incoming AI-call volume.
41%
of surveyed security leaders reported a deepfake incident during an employee audio call.
74%
of surveyed consumers would let an AI agent handle routine tasks.
87%
of surveyed customers said GenAI service must include access to a human agent.
Service policies backed by an additional finding
Let useful automation through
Authorized automation can remain in self-service when your policies permit the request.
Protect agent capacity
Reserve human time for calls that need a person instead of sending every AI caller to a queue.
Step up sensitive requests
Require verification before an account change, disclosure, or payment when your rules call for it.
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GARTNER® REPORT
Named a Market Shaper in deepfake detection
Gartner’s Emerging Market Quadrant for Deepfake Detection: Startup Vendors (25 June 2026) examines the market and emerging vendors.
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PRODUCTS
Live-call intelligence for fraud review + AI-call handling
Synthetic-speech findings in the IVR + live calls help your teams apply verification and routing policies. Your systems retain control of the response.
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RESEARCH + INSIGHTS