CallScreener AI screens incoming calls in real time to help identify suspicious callers, voice impersonation, robocalls and AI generated voices before they reach your team. It combines conversation screening, caller verification and voice authenticity analysis, while keeping sensitive call data within approved environments.
What is assessed
Interface simulation: an illustration of the workflow, not a live analysis
CallScreener AI
Follow a call while it is still happening
What it is
Phone based fraud is becoming harder to recognise as attackers use caller ID spoofing, prerecorded speech, voice cloning and AI generated voices to impersonate trusted people. CallScreener AI adds an intelligent screening layer before incoming calls reach employees, customer service teams or sensitive business processes.
The platform can engage callers, understand why they are calling, examine voice authenticity and provide relevant risk indicators. Suspicious or uncertain calls can receive additional verification or be transferred to a human operator for review.
CallScreener AI is designed to support human and policy based decisions, rather than treating a single voice or behavioural signal as proof of fraud.
Private deployment
Process sensitive call information within approved organisational infrastructure
Voice authenticity
Identify potential indicators of synthetic, manipulated or replayed voices
Intelligent screening
Understand caller intent before a call reaches an employee
Protected call data
Keep recordings, transcripts and related information under organisational control
High level architecture
An incoming call enters the organisation's approved screening workflow, without requiring the employee to answer first.
A voice assistant interacts naturally with the caller to understand the reason for the call and collect appropriate verification information.
The live conversation is examined for indicators that may suggest AI generated, manipulated or replayed speech.
Relevant observations are organised into a clear timeline for authorised reviewers.
Calls proceed, receive additional verification or transfer to an authorised agent, according to organisational policy.
Interface simulation: an illustration of the workflow, not a live analysis
An incoming call enters the organisation's approved screening workflow, without requiring the employee to answer first.
A voice assistant interacts naturally with the caller to understand the reason for the call and collect appropriate verification information.
The live conversation is examined for indicators that may suggest AI generated, manipulated or replayed speech.
Relevant observations are organised into a clear timeline for authorised reviewers.
Calls proceed, receive additional verification or transfer to an authorised agent, according to organisational policy.
Product exclusiveness
Continuous voice authenticity screening
Interface simulation: an illustration of the workflow, not a live analysis
Market comparison
CallScreener AI combines AI call screening, voice deepfake detection, caller verification and investigation support within one controlled workflow.
Caller screening
Voice authenticity analysis
Protection from prerecorded responses
AI voice deepfake detection
Automated call screening
Human agent handoff
Conversation insights
Investigation support
Private deployment
Structured reports
The architecture
Call recordings, transcripts and analysis results can remain within approved organisational infrastructure
PRIVATE DEPLOYMENT · CONTROLLED DATA · SECURE CALL INTELLIGENCE
Sector use cases
Help protect phone banking interactions, high value transaction requests and customer service workflows from voice impersonation and AI enabled social engineering, with additional verification before sensitive actions proceed.
Screen authorised claims related calls for potential voice impersonation, prerecorded responses or unusual call characteristics, helping investigators identify conversations that need further review.
Add stronger verification to sensitive customer requests such as account changes and number transfers, alongside existing identity checks.
Help protect employees from callers impersonating executives, colleagues, customers or trusted partners, particularly on requests involving credentials, account access or financial information.
Screen authorised calls to public service lines for potential impersonation, automated abuse or manipulated voice, with deployment inside approved infrastructure where call information requires stricter control.
Support authorised voice and video assisted verification workflows with call screening, voice authenticity analysis and human oversight. It complements existing identity and compliance procedures rather than guaranteeing regulatory compliance.
Deployment strategy
CallScreener AI is designed to integrate with modern enterprise telephony, contact centre and call management environments. The exact approach depends on the organisation's existing infrastructure and deployment requirements.
Works with the call platform already in place
Call recordings, transcripts and related analysis information can remain within the organisation's approved infrastructure, with the organisation defining how authorised services communicate and where sensitive call information is processed.
Sensitive call data stays under organisational control
Conversational questions and verification requests are configured around approved organisational procedures, so the automated first line follows the rules the organisation already applies to sensitive calls.
Screening that follows existing procedure
Routine calls follow the approved automated workflow, while suspicious or uncertain interactions transfer to an authorised agent with the relevant screening context already available.
Automated first line, human judgement where it matters
Screening conversations and subsequent agent interactions are organised into transcripts and structured reports, with storage, access and retention aligned to the organisation's privacy, security and governance requirements.
Review ready records, retained on your terms
Whether CallScreener AI is evaluated on a single line or introduced across a contact centre, the integration approach depends on the organisation's existing infrastructure, and call recordings, transcripts and related information can remain within its approved environment throughout.
Security, compliance and data architecture
CallScreener AI is designed for environments where voice recordings, transcripts and caller information require careful protection.
Frequently asked questions
It examines live speech for patterns that may indicate synthetic, manipulated or replayed audio. Those findings are considered alongside the wider screening interaction, without exposing the underlying detection methods.
Yes. It is designed to integrate with modern enterprise telephony, contact centre and call management environments. The exact approach depends on the organisation's existing infrastructure and deployment requirements.
Yes. Authorised calls are assessed as the conversation takes place, so relevant screening information can be available before or during a human interaction. Actual response times depend on the deployment environment and configured workflow.
Not for every stage. Initial screening can run automatically and route calls according to approved rules. Where additional judgement is required, the interaction can be transferred to an authorised agent with the screening information and conversation context available.
Recordings, transcripts and related analysis data can remain within the organisation's approved infrastructure, with storage, access and retention aligned to its privacy, security and governance requirements.
The rest of the line
See how CallScreener AI screens callers, checks voice authenticity and hands difficult calls to your team.
