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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.

Trusted by teams at

  • Ostello
  • Karma Hyundai
  • Xoxoday
  • Aye Finance
  • OnGrid
  • Regus Automobiles
  • Codestax
  • AAFM
  • Sapio Analytics
  • Gullybaba
  • ICOFP
  • AksEdge
  • eMSME
  • Black Kite Foundation
  • MedoPlus

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.

Conversation

Could you book a consultation for Tuesday morning?

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

Behind the conversation

  • Capture the requested day; clarify the time zone.
Intent captured · no appointment created

Routine scheduling proceeds within configured calendar permissions.

Start with a responsibility

Choose the employee behind the conversation.

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

Peter, AI employee

Lead qualification

Peter

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

Hire Peter
Ananya, AI employee

Service reminders

Ananya

Coordinate service appointments and route unusual requests to an advisor.

Hire Ananya
Meera, AI employee

Customer onboarding

Meera

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

Hire Meera

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

Before you
get started.

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.

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.

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

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

Customer reviews

From conversations to completed work.

Voice AI for client work

“Using UnleashX gave our team the power to build voice AI agents that deliver real results for our clients. Every use case became faster to deploy and easier to scale.”
Nitin KalraCEO, Blu ParrotPublished customer testimonial

Give a defined rolea voice.

Start with a pre-built employee or design a role around your process.