Voice Agent
Answers calls, understands customer intent, handles routine inquiries, escalates complex issues with context
Replace legacy IVR trees with natural voice agents that resolve calls end-to-end. Sub-200ms latency, real-time sentiment detection, and seamless handoff to human agents when needed.
Inbound voice support is expensive and hard to scale. Customers expect immediate answers but wait on hold for 10+ minutes. Agent salaries and benefits cost $40k-60k annually per FTE. Peak demand (evenings, weekends, holidays) forces costly overtime. Overseas call centers create language and accent barriers. High agent turnover means continuous training. Customers increasingly prefer chat and SMS but businesses remain voice-centric.
assistents voice agent answers calls instantly in customers’ preferred language, understanding context from your CRM and call history. The agent handles order status, billing, returns, refunds, troubleshooting, and escalations. Natural conversation keeps customers engaged; no robotic menu trees. Agent connects to live representatives only when needed, preserving context and customer satisfaction. Integration with Twilio, Vonage, or internal PBX systems is seamless. Real-time call monitoring and coaching help improve performance.
Answers calls, understands customer intent, handles routine inquiries, escalates complex issues with context
Provides natural dialogue that feels human, manages tone and empathy, handles sensitive situations
Analyzes call patterns, identifies peak demand times, highlights trending issues for training
Calls route to the agent queue. Agent answers instantly with warm greeting and context from CRM.
Agent listens to customer issue, asks clarifying questions, accesses order or account history.
For routine issues (order status, refund, reset), agent resolves directly. Complex issues escalate with full context.
Agent logs call summary, resolution, and customer sentiment in CRM. Flags follow-up actions.
Supervisor hears live calls, provides real-time coaching. Agent performance improves via feedback loops.
5 steps deploy to production in weeks
Schedule a personalized demo to see how assistents’s AI agents can solve this challenge for your organization.