Autonomous AI Agents
AI Voice Agents for inbound and outbound calls
Deploy autonomous voice agents that understand natural speech, authenticate customers, resolve multi-turn intents on inbound and outbound calls, and hand off with full context—human-like comprehension at enterprise scale.
Challenges
What this product helps teams solve
Repetitive inbound volume
Queues fill with status checks, FAQs, and routine requests that delay customers who need a specialist.
After-hours coverage gaps
Callers still need answers when agents are offline—without losing compliance or brand quality.
Context lost on transfer
Customers repeat themselves when bots cannot warm-transfer with identity, intent, and history.
Outcomes
Business outcomes
- Reduce inbound AHT
- Deflect repetitive calls
- 24/7 voice coverage
How it works
From first contact to resolution and insight
Follow the animated workflow below—each step shows the full action path from customer contact through resolution and insight.
AI Voice Agents flow
Step 01
Customer calls in or is dialed outbound
Step 02
Speech recognition and intent detection
Step 03
Knowledge, CRM, and tool actions
Step 04
Resolve or warm handoff to agent
Step 05
Summary and analytics logged
Capabilities
Key capabilities in detail
Natural speech conversations
Low-latency ASR and neural TTS for multi-turn voice dialogues.
Intent and guardrails
Detect goals with enterprise policies that keep responses on-brand.
CRM and API actions
Look up accounts, book appointments, update tickets, and trigger workflows.
Human handoff
Warm transfer with transcript, identity, and recommended next steps.
Multilingual coverage
Support accent-aware models across the languages you operate in.
Live conversation signals
Capture analytics for containment quality, topics, and escalations.
- Low-latency speech recognition & neural TTS
- Intent detection with enterprise guardrails
- Seamless warm transfer to live agents
- Multilingual and accent-aware models
- CRM and telephony integration
- Real-time conversation analytics
Use cases
Where teams apply AI Voice Agents
Practical scenarios with full detail—so stakeholders can map this product to real operating workflows.
Use case 01
24/7 inbound FAQs and account status
Handle repetitive status and FAQ calls any time without expanding night staffing.
Use case 02
Appointment booking and rescheduling
Let callers book or move appointments through natural voice conversations.
Use case 03
Lead qualification and callback scheduling
Qualify inbound or outbound prospects and schedule the right follow-up.
Use case 04
Collections reminders with compliant scripting
Run reminder calls with controlled scripts and escalation paths.
Use case 05
Order and shipment status lookups
Resolve tracking questions with CRM and order-system lookups.
Use case 06
After-hours triage with priority routing
Capture intent after hours and route urgent cases to on-call teams.
Built for
Teams that own customer conversations
Designed for the roles that fund, operate, and improve customer communications every day.
- Contact center operations leaders
- CX and digital transformation teams
- BPO and shared-service organizations
- Sales and collections outbound teams
- IT and telephony stakeholders
- Compliance and risk owners
- Shared-services and BPO partners
- Customer operations executives
Related in Autonomous AI Agents
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Conversational IVR
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AI Copilot & Agent Assist
Real-time agent guidance, automated note-taking, and next-best-action prompts during live interactions.
Product FAQ
They understand natural speech, resolve multi-turn intents, run approved CRM or knowledge actions, and warm-transfer to humans with full call context.
See AI Voice Agents in action
Map autonomous voice handling to your queues, languages, and CRM actions with a live walkthrough.