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AI voice agent software

Voice AI agents connected to the same customer memory.

Bring call workflows into the intelligent business operating system so voice conversations can update customer memory, CRM activity, and analytics events.

Workspace status

Roadmap

Best for teams that handle phone inquiries, appointment calls, service questions, and follow-up conversations.

Capture call intent

Summarize conversations

Update customer records

Route follow-up work

Use case

Who should use Voice AI?

Best for teams that handle phone inquiries, appointment calls, service questions, and follow-up conversations.

AI voice agent for businessvoice AI softwareAI call automation

Call workflow design

Intent capture

Call summaries

CRM sync

Review workflow

Consent-aware setup path

Workspace workflow

How the workspace works

1

Design call flow

Call workflow blueprint

Define call goals, welcome flow, qualification questions, fallback rules, and consent language.

2

Capture caller intent

Captured call intent

Understand why the caller contacted you and identify sales, support, booking, or escalation intent.

3

Summarize conversation

Useful call summary

Turn calls into short summaries with key facts, customer needs, and recommended next actions.

4

Create CRM activity

CRM-ready activity

Create CRM activity, follow-up tasks, or customer notes from call outcomes automatically.

5

Analyze call outcomes

Voice performance insight

Review call patterns, outcomes, unanswered questions, and conversion signals in Analytics.

Connected intelligence

Not an isolated tool.

Voice AI can emit call events into CRM and Analytics while using shared customer memory from previous WhatsApp and AI Chat conversations.

See how Advika works