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AI voice agents

What is an AI voice agent?

An AI voice agent holds a phone conversation and completes the job behind it. Unlike an IVR, which routes a caller through a menu, or a voicebot, which answers questions, it carries a defined responsibility, the system access to finish the work, and the same completion criteria you would apply on any channel.

See the platform capability

Conversation and execution

Hear the request. Understand what must happen next.

Follow the conversation and the actions behind it. Routine work proceeds within permissions; commercial exceptions reach a human owner.

Voice, connected to workWorked example
VOICE CAPABILITY

Understanding the caller

Caller

“Could you book a consultation for Tuesday morning?”

AI employee

“I can help arrange that. Which time zone should I use?”

BEHIND THE CONVERSATION

Understand

Capture the requested day; clarify the time zone.

Work state

Intent captured · no appointment created

Current owner

AI employee

Routine scheduling proceeds within configured calendar permissions.

Stage 1 of 4 · Inspect any stage or play the sequence

Start with a responsibility

Choose the employee behind the conversation.

Peter, AI employeeLead qualification

Peter

Qualify enquiries, arrange the next step and retain the sales context.

Hire Peter
Ananya, AI employeeService reminders

Ananya

Coordinate service appointments and route unusual requests to an advisor.

Hire Ananya
Meera, AI employeeCustomer onboarding

Meera

Guide setup, resolve routine blockers and hand unresolved work to support.

Hire Meera

Pre-built does not mean unrestricted. Agree the knowledge, contact rules, permitted actions and escalation owner before enabling production work.

INSIDE THE BUILDER

Configure your voice employee.

Define the instructions, shape the conversation and connect the actions behind it. Explore voice settings, role guidance and handoff configuration.

Production readiness

Test more than the conversation.

System access

Map telephony, calendar and CRM dependencies. Test permitted reads and writes, duplicate requests and unavailable systems.

Decision boundaries

Define what the employee can confirm independently. Pricing exceptions, policy overrides and uncertain requests need an explicit handoff path.

Evaluation

Use representative accents, interruptions and incomplete requests. Inspect task completion, incorrect confirmations and the quality of context sent to a person.

Before you get started

Can the employee transfer work to a person?

Define the transfer, callback or case-assignment path during configuration. Include the reason, relevant records and unresolved decision so the person can continue the work.

How do we choose languages and voices?

Confirm the supported setup for your deployment and test it with representative callers, names and domain vocabulary. Availability alone is not a measure of call quality.

Will it replace our existing systems?

The starting point is your current system of record. Confirm required integration actions during scoping rather than assuming every operation is available.

How long does implementation take?

Timing depends on access, integration work, agreed scope and evaluation. Use a limited pilot with acceptance criteria before increasing volume.

Plan a demo

Bring one real call journey.

Share the outcome you want, the systems involved and the exceptions your team handles today. We can use those details to scope a useful demonstration.

Explore existing agent demos

Book a tailored demo

Aye Finance
Bajaj Capital
eMSME
Shyama Power
MedoPlus
Gullybaba
ICOFP
Sapio Analytics
Ostello
OnGrid
Black Kite Foundation
AAFM
Regus Automobiles
Karma Hyundai
Codestax
AksEdge
Tiger FinTech
Coneon
Xoxoday
Blu Parrot
Edgy Scribblers
NxG
V2C

CUSTOMER REVIEWS ON G2

From conversations to completed work.

4.9/ 5
  • End-to-end automation

    We’ve deployed UnleashX across a genuinely wide range of use cases, rather than relying on a single narrow bot.
    Nitin J.SVP, Head of EngineeringEnterprise (> 1,000 employees)
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