SHEET 01Use CaseVoice-Powered Customer Support

Deliver 24/7 voice support with natural conversational AI agents

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.

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  • Financial Services
  • Retail
  • Logistics & Supply Chain
  • Customer Support
  • Voice AI
  • Conversational Agents
0saverage wait time before agent answers
71%first-contact resolution rate (voice-only)
3.8/5customer satisfaction rating (CSAT)
$8/callcost per call (vs. $15+ human agent)
SHEET 02The ChallengePROBLEM

The voice customer support challenge

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.

SHEET 03The SolutionASSEMBLY

How assistents automates voice customer support

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.

PR-01Active

Voice Agent

Answers calls, understands customer intent, handles routine inquiries, escalates complex issues with context

PR-02Active

Conversational Agent

Provides natural dialogue that feels human, manages tone and empathy, handles sensitive situations

PR-03Active

Data Analyst Agent

Analyzes call patterns, identifies peak demand times, highlights trending issues for training

SHEET 04How It WorksPIPELINE

How voice customer support agents work

Deployment sequenceActive
  1. STEP 01Inbound call routing

    Calls route to the agent queue. Agent answers instantly with warm greeting and context from CRM.

  2. STEP 02Understand intent

    Agent listens to customer issue, asks clarifying questions, accesses order or account history.

  3. STEP 03Handle or escalate

    For routine issues (order status, refund, reset), agent resolves directly. Complex issues escalate with full context.

  4. STEP 04Document interaction

    Agent logs call summary, resolution, and customer sentiment in CRM. Flags follow-up actions.

  5. STEP 05Monitor quality

    Supervisor hears live calls, provides real-time coaching. Agent performance improves via feedback loops.

5 steps deploy to production in weeks

SHEET 05Measurable OutcomesMEASURED

Measurable voice customer support outcomes

0saverage wait time before agent answers
71%first-contact resolution rate (voice-only)
3.8/5customer satisfaction rating (CSAT)
$8/callcost per call (vs. $15+ human agent)
SHEET 07Related Use CasesCATALOG

Explore more use cases

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UC-05

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UC-06

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SHEET 08Sign-offREADY

Ready to see this in action?

Schedule a personalized demo to see how assistents’s AI agents can solve this challenge for your organization.

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Stage
Discovery to production · 4 weeks
Deployment
Cloud · On-premise · Hybrid
Governance
Audit trail on every action
Sheet
8 of 8 · Use Case