Voice AI for Customer Service

Lisa: She listens, speaks, solves,
& shuts up when she has to

Lisa is a voice AI agent that handles live customer phone calls end to end. She answers questions, retrieves account data, and resolves requests — without making your customers wait on hold.

Voice AI Real-time Pipecat Any Industry
80%

Of support calls are routine lookups

Seconds

To answer, not minutes on hold

Multi-turn

Follow-ups in the same session

Zero

Lingering data between calls

Phone support is stuck

Customers call about an order, a balance, a claim, or a bill. What should take thirty seconds takes ten minutes — hold queues, IVR mazes, and agents looking up the same data the system already has.

Long hold times

Customers wait minutes for answers that exist in a database. Satisfaction drops with every second on hold.

IVR trees don't resolve

Traditional IVR systems route and delay. They don't understand, retrieve data, or answer questions.

Scaling is linear

More call volume means more agents. Hiring, training, and turnover make it expensive during peak periods.

Text bots aren't enough

Chatbots handle text. Most customers still pick up the phone. The voice channel is hardest to automate.

No visibility into calls

Most companies can't tell you what happened on a call until a customer complains. No monitoring, no evaluation.

80% is informational

Order status, account balances, payment confirmations, claim updates. These calls don't need a human.

The voice channel is the most important customer touchpoint — and the one where automation has delivered the least.

Meet Lisa

A voice AI agent that handles live customer phone calls end to end. She answers the call, understands the customer, retrieves account data, and speaks the answer back.

Not a chatbot with a phone number

Real-time voice system from the start. Turn-aware recognition, live reasoning, and speech synthesis in one session loop.

Knows when to stop

Escalates when automation should end. The goal is customer resolution, not containment metrics.

Modular, not monolithic

Swap STT, TTS, or LLM providers without touching the rest of the system. Adopt better models as they ship.

Impressionist painting of a warm, sunlit customer service scene

Observable from day one

Voice-session monitoring and agent quality evaluation built in.

80%

of calls resolved without a human

Why Lisa

Lisa isn't another chatbot bolted onto a phone line. She's built for voice from the ground up.

Traditional Call Center

The way it's been done

  • Minutes on hold
  • IVR trees that don't resolve
  • Linear with call volume
  • Text bots repurposed
  • No visibility

With Lisa

Built for voice from the ground up

  • Answered in seconds
  • Understands, retrieves, answers
  • Handle spikes without hiring
  • Purpose-built real-time voice AI
  • Built-in evaluation and monitoring

Ready to hear Lisa in action?

We'll run a live demo on your actual call scenarios — order inquiries, billing questions, claim updates, account lookups — and show you how Lisa handles them.

What Lisa can do

Lisa owns the prompts, tools, and session logic for your use case. These are the actions she can take during a live call.

Account Lookup

Look up balances, billing status, policy details, or subscription info in real time.

Order & Claim Status

Check order tracking, claim progress, delivery estimates, or service request status.

Transaction History

Pull recent transactions, payments, refunds, or activity logs over configurable time ranges.

Issue Reporting

Let customers report problems — disputes, delivery issues, service disruptions — during the call.

Service Changes

Process plan upgrades, address changes, cancellations, or account modifications on the spot.

Payment Link

Send a payment link via SMS so the caller can pay immediately.

Stop routing calls.
Start resolving them.

See how Lisa handles real customer calls — account inquiries, order status, billing questions — in seconds instead of minutes.

How a call works

From the caller's perspective, Lisa runs as a multi-turn phone conversation. Each call follows the same loop until the customer is satisfied or chooses to escalate.

1

Customer Calls

The customer dials the support number. Twilio connects the call and streams audio to Lisa's backend.

2

Lisa Answers and Listens

Lisa greets the caller and listens in real time. Deepgram Flux transcribes speech and manages turn boundaries — detecting when the customer has finished speaking.

3

Understand and Act

The LLM reasons over the request. If Lisa can answer directly, she does. If the request needs live data — account balance, order status, claim details — she runs the appropriate function.

4

Speak the Answer

ElevenLabs synthesizes Lisa's response into natural speech, streamed back through the phone call in real time.

5

Continue, Resolve, or Escalate

If the customer has another question, the call continues as another turn. When satisfied, the call ends. If escalation is needed, Lisa provides the support number. Session state is deleted on teardown.

Turn Awareness

Natural Conversation Timing

Lisa handles more than transcription. She manages turn awareness for live conversation — StartOfTurn, EndOfTurn, EagerEndOfTurn, and TurnResumed behavior. Configurable thresholds for end-of-turn detection and response timing make the interaction feel natural rather than robotic.

CSR Escalation

When automation should stop — out of scope, human requested — Lisa shares the support number and exits cleanly.

Session Cleanup

When a call ends, the live session is closed and temporary state in Redis is deleted. No lingering data between calls.

Deployment

On-premises, Azure, AWS, or GCP. Works with your existing systems and databases. Pricing tiers matched to your scale and use case.