Warm transfer
The Voice AI Agent introduces the interaction and context before transferring the call.
ENTERPRISE VOICE AI AGENTS
Turn every call into a completed customer journey.
CBOT Voice AI Agents listen, understand, reason, and act across enterprise systems to resolve customer needs through natural phone conversations.
Transform inbound and outbound service with proprietary speech technology, agentic workflows, intelligent human handover, and deployment options built for regulated enterprises. Natural enough for the customer. Powerful enough for the enterprise.
live
Customer
“I need to change the payment date for my policy.”
- Speech recognized
- Customer intent identified
- Policy information retrieved
- Customer authenticated
- Available payment dates checked
- New date confirmed
- Enterprise system updated
- Confirmation sent
- LIVE TRANSCRIPTION
- On
- RESPONSE
- Streaming
- KNOWLEDGE
- Policy terms
- WORKFLOW STEP
- 6 / 6
- CALL DURATION
- 1:12
- OUTCOME
- Resolved
Resolved without waiting or transferring.
FROM IVR TO INTELLIGENT RESOLUTION
Customers should not have to navigate your organization to get an answer.
Traditional IVR systems ask customers to follow predefined menus, repeat information, and wait for the right department. CBOT Voice AI Agents let customers explain what they need in their own words. The agent understands the request, finds the shortest path to resolution, and either completes the process or connects the customer to the right person with full context preserved.
Traditional IVR
- Press 1
- Select a menu
- Enter information
- Wait in a queue
- Repeat the request
CBOT Voice AI
- Explain what you need
- Be understood
- Complete the process
Replace menu navigation with intelligent resolution.
Hear what enterprise Voice AI should sound like.
Explore natural voice experiences powered by CBOT's proprietary speech technologies. See how different agents handle real enterprise conversations, terminology, tone, and workflow requirements.
InboundTurkishProfessional · Clear
TRANSCRIPT
Customer
“I want to check the status of my request.”
Voice AI Agent
“Of course, let me pull that up. Can you confirm your registered phone number?”
BEHIND THE CONVERSATION
- Identity verified
- Request record retrieved
- Status read
- Next step explained
OUTCOME
Status shared and next step confirmed. No transfer needed.
Representative scenario scripts. Live voice samples are enabled with approved recordings.
Intelligence across every moment of the call.
The conversation flows naturally while CBOT processes speech, understands intent, reasons over enterprise context, acts across systems, and responds in real time.
- 01
Listen
Streaming Speech-to-Text processes spoken input in real time. Built for contact-center and mobile audio, ambient noise, natural speaking patterns, domain terminology, and Turkish language structure.
- 02
Understand
The agent identifies intent, entities, conversation history, customer context, business rules, and the appropriate process, combining deterministic logic, proprietary NLP/NLU, language models, and enterprise knowledge.
- 03
Reason
The agent determines what information, knowledge, system, model, or workflow is required to progress the call.
- 04
Act
The agent retrieves information, authenticates the customer, collects and validates data, creates or updates requests, checks status, schedules appointments, initiates workflows, sends confirmations, or transfers when required.
- 05
Respond
Proprietary Text-to-Speech delivers low-latency, natural voice responses with controllable pronunciation, speed, pitch, pauses, intonation, and domain terminology.
The conversation is only the interface. Resolution is the product.
CBOT SPEECH
Own the technology behind every word.
CBOT develops its Speech-to-Text and Text-to-Speech technologies in-house. This provides deeper control over language performance, enterprise terminology, voice experience, deployment, latency, and continuous optimization.
SPEECH-TO-TEXT
- Proprietary ASR technology
- Real-time streaming transcription
- Deep optimization for Turkish
- Multilingual model support
- Contact-center & mobile audio
- Noise-robust processing
- Domain-specific vocabulary
- Custom terminology & pronunciation
TEXT-TO-SPEECH
- Proprietary neural voice technology
- Natural, human-like output
- Low-latency speech generation
- Custom voice profiles
- Brand-specific voice development
- Prosody & intonation control
- Natural pauses
- SSML support
- Pronunciation dictionaries
Speech-to-Speech (research)
CBOT researches next-generation speech-to-speech architectures. Unlike traditional pipelines that separate recognition, language processing, and synthesis into distinct steps, this approach enables a more unified flow between spoken input, AI reasoning, and natural spoken response, reducing intermediate transformations and latency for faster, more fluid conversations, with more adaptive dialogue handling and greater control over voice dynamics. It is an emerging innovation area for the future of enterprise Voice AI.
When the speech layer belongs to you, the experience does not depend on someone else's roadmap.
INBOUND & OUTBOUND AI WORKFORCE
Transform the calls customers make, and the calls your business needs to make.
Serve instantly when customers call, and act proactively when your business should call first, with the same enterprise knowledge, systems, and governance behind both directions.
Inbound Voice AI
- Customer service
- Information & status inquiries
- Application processes
- Claim notification
- Appointment scheduling
- Identity verification
- Request & ticket creation
- Payment & transaction support
- Service interruption & emergency
- Intelligent routing
Outbound Voice AI
- Payment reminders
- Collections
- Customer notifications
- Appointment reminders
- Application follow-up
- Renewal & retention
- Customer feedback
- Survey calls
- Process completion
- Personalized service campaigns
Serve instantly when customers call. Act proactively when your business should call first.
Never make the customer start again.
Some conversations require judgment, authorization, empathy, or specialist attention. When human support is required, CBOT transfers the interaction with the customer context already prepared.
CONTEXT PASSED TO THE HUMAN AGENT
- Customer information
- Identified intent
- Extracted details
- Complete transcript
- Steps completed by the AI agent
- Information collected
- Reason for escalation
- AI-generated interaction summary
Silent transfer
The context is passed to the human agent in the background.
Collaborative mode
The AI continues to support the human agent with contextual information and recommendations.
The channel may change. The conversation should not restart.
Bring Voice AI into the contact center you already operate.
CBOT integrates Voice AI Agents with existing telephony, contact-center, CRM, case-management, payment, knowledge, and enterprise systems, so organizations can introduce AI automation without rebuilding the complete operating environment around a single provider.
Telephony & SIP infrastructureIVR environmentsContact-center platformsCRM systemsCase-management systemsCore banking & insurance systemsPayment systemsEnterprise APIsKnowledge sourcesHuman-agent desktopsAnalytics & reporting platforms
CBOT connects through approved integrations, APIs, and private interfaces. Any vendor or system names indicate common environments, not implied commercial partnerships or native connectors unless officially confirmed.
Add intelligence to your contact center, without losing the systems that already work.
Voice AI ready for the environments where every call matters.
CBOT operates in banking, financial services, insurance, telecom, public services, retail, and other high-volume enterprise environments, designed for the security, scalability, availability, data control, and operational continuity these sectors require.
Complete on-premise Voice AI
Speech recognition, language processing, model inference, enterprise knowledge, workflow execution, and voice generation can operate within the customer's infrastructure.
Independent scaling
Speech-to-Text, Text-to-Speech, language-model inference, and runtime services can scale independently according to traffic.
Peak-load readiness
Containerized services support horizontal scaling for campaign periods, incidents, and seasonal call peaks.
High availability
The platform supports enterprise clustering, failover, and disaster-recovery architectures.
Data control
Voice data, transcripts, prompts, model outputs, and operational records can remain within the approved deployment environment.
Monitoring & auditability
Call records, transcripts, model decisions, and workflow steps can be logged and reviewed for quality assurance, audit, and compliance requirements.
SaaSPrivate CloudHybridFully On-Premise
Enterprise Voice AI without sending sensitive conversations outside your approved boundary.
TRUSTED IN PRODUCTION
Voice AI in real enterprise operations.
Selected institutions working with CBOT across voice and digital service.
Challenge
A HIGH-VOLUME CALL PROCESS CREATED WAITING TIME, REPETITIVE WORK, OR LIMITED SERVICE COVERAGE.
Transformation
CBOT INTRODUCED VOICE AI AGENTS INTEGRATED WITH ENTERPRISE SYSTEMS AND HUMAN-AGENT OPERATIONS.
Outcome
THE ORGANIZATION INCREASED AUTOMATION, SERVICE AVAILABILITY, PROCESS COMPLETION, OR OPERATIONAL EFFICIENCY.
Customer-specific performance figures are published only after verification and source approval, with use case, measurement period, and scope.
Understand every call, outcome, and escalation.
CBOT Vision gives business and operations teams real-time and historical visibility into Voice AI performance.
Call volumeCompletion & containmentFallbackEscalationIntent performanceConversation outcomesResponse timeIndividual call transcriptsReasons for transfer or failure
KALYA, QUALITY MANAGER
KALYA, CBOT's Quality Manager and Reporting Agent, can monitor selected operational signals, prepare reports, identify recurring patterns, and recommend areas requiring attention.
Frequently asked questions
What is a Voice AI Agent?
A Voice AI Agent is an AI-powered system that can understand natural spoken language, access enterprise information, use business systems, execute workflows, and respond through speech during a phone conversation.
How is a Voice AI Agent different from traditional IVR?
Traditional IVR generally requires customers to follow predefined menus. A Voice AI Agent lets customers explain their needs naturally and can determine the appropriate information, action, workflow, or human destination.
Does CBOT use its own speech technology?
Yes. CBOT develops proprietary Speech-to-Text and Text-to-Speech technologies as part of CBOT Speech.
Is CBOT Voice AI optimized for Turkish?
Yes. CBOT Speech has deep optimization for Turkish language structure, pronunciation, and domain-specific terminology. Multilingual models and use cases are also supported.
Can terminology and pronunciation be customized?
Yes. Domain vocabulary, brand names, product names, and specialist terminology can be supported through custom dictionaries, model adaptation, and pronunciation configuration.
Does CBOT support inbound and outbound calls?
Yes. CBOT Voice AI Agents can support both inbound customer-service scenarios and proactive outbound processes.
Can the AI Agent complete transactions or workflows?
Voice AI Agents can retrieve information, collect and validate data, use approved tools, call enterprise APIs, update systems, and execute defined workflows according to configured permissions and business rules.
What happens when a human agent is required?
CBOT can transfer the call with the identified intent, collected information, transcript, process history, escalation reason, and an AI-generated summary.
Can CBOT Voice AI run on-premise?
Yes. The full voice stack (Speech-to-Text, Text-to-Speech, supported model inference, RAG, runtime, analytics, and integrations) can operate inside the customer's environment.
Can CBOT integrate with existing contact-center systems?
Yes. CBOT can connect with telephony, contact-center, CRM, knowledge, case-management, and enterprise systems through approved integrations, APIs, and private interfaces.
How quickly can a Voice AI Agent go live?
Timelines depend on the use case, integrations, conversation complexity, deployment architecture, data, security requirements, and testing scope. The implementation plan is defined following solution and infrastructure assessment.
THE NEXT GENERATION OF THE CONTACT CENTER
Build phone experiences customers no longer need to wait for.
Transform inbound and outbound operations with Voice AI Agents that understand natural speech, complete enterprise processes, work with human teams, and operate within your technology and security environment.