SpeakSync

Use Case

AI Voice Agents for Customer Support

The most scalable voice AI for business support teams. Deploy always-on AI voice agents that resolve customer issues instantly — 24/7 — without hold times, ticket queues, or extra headcount.

Key Benefits

Everything you need, nothing you don't

🕐

24/7 Availability

Handle inbound queries around the clock without adding headcount. No nights, no weekends, no sick days.

Instant Resolution

Sub-300ms response times create natural, human-paced conversations — customers never feel like they're waiting.

📊

Rich Call Analytics

Every call is transcribed, tagged, and surfaced in your dashboard so you can spot patterns and coach agents.

🔗

CRM Integration

Auto-log calls and outcomes into HubSpot, Salesforce, or any CRM via our native integrations.

🌐

Multilingual Support

Serve customers in 30+ languages with the same expressive, brand-consistent voice.

🎯

Smart Escalation

When a case needs a human, the agent summarizes the call context and transfers seamlessly.

How It Works

Up and running in three steps

01

Connect Your Phone Number

Bring your existing SIP trunk, Twilio number, or provision a new one directly in the SpeakSync dashboard.

02

Configure Your Agent

Choose a voice, write your support script, and define escalation triggers — all through a no-code builder.

03

Go Live in Minutes

Flip the switch. Your AI agent starts handling calls immediately with zero additional infrastructure.

FAQ

Common questions

Can the agent handle complex, multi-turn conversations?

Yes. SpeakSync agents maintain full conversation context and can handle multi-step troubleshooting flows.

How does the agent know when to escalate to a human?

You define escalation triggers (sentiment, keywords, issue type). The agent detects them and transfers with full context.

Is the conversation data private?

Absolutely. All calls are encrypted in transit and at rest. Your data is never used to train shared models.

Ready to deploy?

Join hundreds of businesses using SpeakSync to scale their voice operations without scaling their headcount.

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