The next digital channel in South Africa is the phone call

South Africa’s digital transformation has changed how businesses serve their customers. Banking, insurance and telecommunications are increasingly delivered through apps and websites. Yet as these channels grow more sophisticated, one question remains: are they accessible to everyone who needs them?

Using a digital service still assumes a smartphone, a reliable connection, enough mobile data and the confidence to navigate an interface. In a country where access, connectivity and language preferences vary widely, that cannot be taken for granted.

The next step in digital customer service may not be another app or chatbot. It may be something customers already have: the telephone.

Businesses have invested heavily in self-service, and customers can now check balances, make payments and submit requests without visiting a branch. But the experience increasingly depends on digital access and familiarity.

Traditional interactive voice response (IVR) systems have not closed the gap. Callers must work through layers of numbered menus, which suits simple requests but frustrates customers who want to explain their situation in their own words.

The opportunity is to make the phone call more than a doorway into the contact centre: a digital service channel in its own right.

How voice AI turns a call into a conversation

Instead of relying on fixed prompts, a voice AI system listens to the customer, interprets the request and carries the conversation forward. Four technologies work together:

• Speech recognition converts the caller’s words into text.
• Language understanding interprets meaning and context.
• System integration retrieves information or starts an authorised process.
• Speech generation delivers the response in a natural voice.

This happens over an ordinary telephone call. Customers need not download an app or use mobile data and, where configured to support it, even a basic feature phone can provide access.

Language is central in South Africa. Voice AI must handle local languages, accents and telephone-quality audio, and prove it in real operating conditions.

Introducing TeeVoice

This is the space Teeoff Technologies is building for with TeeVoice, our conversational voice AI platform. TeeVoice brings AI-powered conversations to telephone networks, so customers can simply call, speak naturally and be helped.

TeeVoice is designed around the factors that decide whether voice AI works at scale:

• Natural conversation instead of menu navigation.
• Telephone-quality performance on real call audio: more than 10 local languages in live production, with a word error rate of under 10% on real 8kHz telephone audio.
• Speed and reliability across large call volumes: more than 600 parallel calls per cluster and about one second per conversational turn.
• Integration with existing business systems, with access controls, auditability and human escalation.

Connecting an AI model to a phone line is the easy part. Making it understand callers accurately, respond quickly and operate within an organisation’s rules is the real work, and TeeVoice is focused on it.

Picture a customer who calls their insurer after hours about a claim. Instead of pressing through menus, they say what they need, and the system retrieves the status or, if the matter is complex, passes the call to a human agent.

As Gourav Mehta, group CTO of Teeoff Technologies, explains: “Most voice AI is built and tested on clean audio in English. Our callers are on narrowband phone lines, often in noisy places, speaking local languages and switching between them mid-sentence. TeeVoice is trained and measured on exactly those calls, which is why it already runs in production for a national mobile operator.”

What this means for businesses

The applications span several industries:

• Banking: routine account enquiries and guided service requests.
• Insurance: policy information and early claims enquiries.
• Telecommunications: account questions and common customer-care requests.

These are not just chances to automate conversations. They give businesses another way to reach customers who find app or web channels less convenient, while freeing human agents for the complex conversations where judgment and empathy matter most.

At enterprise scale, voice interactions may involve sensitive data or trigger actions in business systems, so auditability, data handling and human escalation are essential. AI should support the service process, not operate outside an organisation’s safeguards.

Rethinking the role of the telephone

Digital transformation should be measured not only by how many services move online, but by how easily people can reach them. For a customer who has no app, no mobile data or simply prefers to speak, a conversation may be the most practical route.

The next digital channel does not require customers to learn a new way of communicating. It may simply make the phone they already use considerably more capable.

Meet Teeoff at Africa Tech Festival

Teeoff Technologies will be at Africa Tech Festival in Cape Town from 16-19 November 2026. To discuss voice AI in customer experience and enterprise communications, meet Vishal Singh, vice-president: global business, and Punit Arorah, vice-president: global business development. Book a meeting.

About Teeoff Technologies
Teeoff Technologies builds communications platform as a service (CPaaS) and AI-powered communication products that help businesses transform customer communication and engagement. Our solutions span voice application programming interfaces (APIs), AI agents, IVR platforms, messaging and AI-powered communication technologies, serving enterprises across India, Africa, Asia and the Middle East. At Teeoff, we combine communication technology and AI to build scalable solutions that make customer interactions more intelligent, efficient and connected. Follow Teeoff Technologies on LinkedIn.

• The author, Ankit Nautiyal, is founder and CEO of Teeoff Technologies
• This promoted content was paid for by the party concerned