Voice is how many people still want to get support when something goes wrong. They dial a number, explain the problem, and expect it fixed.

The economics of providing human-powered voice support means few businesses can provide it. But voice AI has become synonymous with impressive demos and disappointing reality. AI agents can act and sound human in a controlled demo, but when actual customers call with actual problems, these systems quickly hit a wall. They can't handle the emotional, non-linear reality of support conversations and they definitely can't solve the underlying issues.

We built Lorikeet Voice 2.0 differently. It doesn't just talk - it also takes action.

What makes Lorikeet Voice different

A customer calls their bank about a declined card for an airport transfer while they are travelling overseas. Traditional voice AI would verify their identity, explain the fraud detection process, maybe transfer them to a human.

Lorikeet Voice talks to the customers and identifies some potentially fraudulent transactions, so it blocks the customers card and immediately creates a new virtual card for them. It then spawns multiple agents working in parallel while keeping the customer on the line. Looking at their transaction history it offers to overnight a card to their next hotel, while a second agent calls that hotel to notify them of the arrangement. Another agent calls the taxi company providing the transfer and provides them with the new virtual card details. All happening simultaneously, all while having a natural conversation.

The customer hangs up with their problem actually solved. No callbacks, no branch visits, no manual follow-ups.

This is possible because Voice sits on top of our Universal Concierge architecture – the same system that powers our chat, email, and SMS agents. Train it once, deploy everywhere. Your voice agents have the same capabilities, follow the same SOPs, take the same actions.

GiveCard: 300,000 people served in a crisis

When federal nutrition assistance ran out during the recent US government shutdown, GiveCard moved fast, supporting an $18M emergency response to get prepaid assistance cards to families who need them. The volume was overwhelming – tens of thousands of SNAP (Supplemental Nutrition Assistance Program) recipients called for help, many speaking Spanish or Mandarin as their primary language.

We deployed multilingual Voice agents in under 48 hours. They handled everything end-to-end: explaining the program, activating cards, tracking physical deliveries. When phone lines opened, they managed hundreds of concurrent calls. 200,000 recipients claimed funds. 300,000 people reached within a week.

"During a confusing and stressful situation, we could rely on our Voice agents to guide cardholders through the process with clarity and care," says Sofia Pedro, Head of Product at GiveCard. "Lorikeet's support was critical to successfully managing caller needs."

Beyond the demo

The challenge with voice AI isn't technology - it's architecture. Most systems are built for conversation, but can’t handle action. They can sound convincing but can't connect to your systems, can't coordinate multiple tasks, can't follow complex SOPs.

We built Voice for the most challenging production environments. Healthcare providers using it to chase consultation notes. Banks coordinating with merchants during disputes. Travel companies calling hotels for special requests. Real problems, real solutions, real-time.

Voice agents know when they can't help and escalate immediately. They follow your exact procedures without deviation. They work 24/7 in the languages you need. And like our Team of Agents, they unlock capabilities businesses couldn't previously afford – calling every merchant about disputes, proactively reaching out about delivery issues, following up on every appointment.