Voice AI for business

Every conversation.
Every action.
Accounted for.

Voice AI infrastructure for businesses that cannot afford to miss a conversation.

SERVEXA deploys intelligent voice employees that call, understand, follow through and escalate when human judgment matters.

Customer experience lead smiling in a bright office

Live call

Watch a call become an action.

A real recorded call. Tap to hear it, and follow each step as it happens.

Live actions

  • Calling customer

    Discussing order delay

  • Check latest order status

    Contacting delivery partner

  • Get updated delivery ETA

    Confirm with customer

  • Send confirmation

    Notify customer via email/SMS

Emma: Hi, I ordered three days ago but I still haven't received my package. Can you check what's happening?

Hear the voice

One employee, every conversation.

Choose a scenario

Customer care

Natural check-ins after a service.

Tap the sphere to hear this call.

Built for the conversation

Enterprise Architecture & Performance

A low-latency architecture direction, with explicit performance targets and enterprise responsibilities.

Design path
Telecom ingress
Bi-directional stream
Voice inference
01

Performance target

Sub-800ms Time-to-First-Audio

Our target is a first audio response in under 0.8 seconds. A bi-directional WebSocket media path avoids waiting on HTTP webhooks for each audio turn, helping reduce conversational delay.

Target · not a measured production benchmark

02

Architecture direction

Hybrid Edge Ingestion

Twilio SIP and Media Streams provide a path from telecom networks into the voice agent. Regional ingress is intended to reduce international backhaul and pickup delays where provider routing supports it.

Regional availability depends on carrier routing

03

Voice optimization

Optimized Voice Engine

The design prioritizes continuous audio streaming with minimal buffering and fast inference. Low-latency voice models, such as ElevenLabs Flash, are candidates for a more natural, human-like conversation flow.

Model selection and end-to-end latency require validation

04

Enterprise commitment

Enterprise SLA & Security

Our enterprise commitments center on clear IP ownership, strict decision rights and defined security responsibilities. Tier-1 partner SLA parity is a contracting goal, subject to agreed terms and provider commitments.

IP ownership · Decision rights · SLA alignment

Safeguards

Governed like infrastructure.

Tiered risk engine

Routine conversations resolve automatically. Medium and high-risk outcomes, like repayment commitments, must clear an 85% confidence gate or go to a human for review.

Accent & pattern resilience

Tuned for regional accents and informal payment language, so customers aren't dropped or misrouted because of how they speak.

NDPA 2023 aligned

Designed around the Nigeria Data Protection Act 2023: encrypted records, per-workspace isolation and auditable call logs.

FAQ

Questions buyers ask.

How do you manage AI risk?+

Every action is tiered. Below an 85% confidence score, the call outcome is routed to human review, and callers can always ask to speak to a person.

Is SERVEXA NDPA 2023 compliant?+

SERVEXA is designed to align with NDPA 2023 principles: data minimisation, encryption, access control and audit logs. Contact us for your compliance review.

Is SERVEXA only for Nigerian businesses?+

No. SERVEXA is built for a global audience. Nigerian accents are a voice choice, not a geographic limit. Available calling destinations depend on your connected provider and its enabled coverage.

What if a human needs to take over?+

Calls that need a person are flagged as escalations so your team can step in.

What happens to customer data?+

Each workspace's customers and calls are private to that workspace and protected by access rules.

How fast can we start?+

Create an account, add customers, choose an objective and place your first call the same day.

Put your first AI voice employee to work.