Lorikeet Launches Industry-First “Team of Agents” With Voice Integration to Deliver End-to-End Customer Problem Resolution
Universal Concierge platform enables AI agents to collaborate in real-time across voice, chat, email, and SMS to call vendors, text doctors, and take action in the real world to actually solve customer issues
SYDNEY, AUSTRALIA – Lorikeet, the company that helps businesses create universal AI concierges for their customers, today announced the launch of its Team of Agents platform, an industry first that enables multiple AI agents to work together seamlessly to resolve complex customer issues across all channels, including full voice integration.
While competitors focus on single-threaded deflection agents that simply summarize help articles, Lorikeet’s Team of Agents orchestrate sophisticated, multi-party resolutions in real-time. For example, Lorikeet’s Team of Agents can call a logistics company to track down a missing order, text a doctor to follow up on a prescription, or email a hotel to arrange room accommodations, all while keeping the customer informed through their preferred channel.
Customers including Airwallex, Flex, Linktree, Arbor, and Eucalyptus chose Lorikeet over Decagon, Sierra, Intercom, Zendesk, after head-to-head evaluations, with one noting that, “Lorikeet was a winner in every metric we tested.”
Team of AI Agents, Working to Solve Real Problems
“Customers are tired of being told how to fix their problems they want someone to actually solve them,” said Steve Hind, co-founder and CEO of Lorikeet. “Our Team of Agents are the industry’s first to coordinate across multiple agents and channels including voice, chat, email, and SMS to deliver real end-to-end resolutions, not just responses.”
Lorikeet differentiates through three core capabilities:
Truly multi-modal: Train Lorikeet on your business logic and deploy across voice, chat, email, and SMS. Voice integration is critical for real-world resolutions that require calling vendors, coordinating with logistics providers, or verifying information with third parties.
Fully configurable: Choose the right approach for each topic, from fully agentic workflows to structured processes to help center search. Lorikeet fits your business logic, not the other way around.
Team of agents: While solving a customer’s problem, Lorikeet deploys specialized agents to engage with third parties simultaneously by calling vendors, sending texts, composing emails, all orchestrated to deliver complete resolution.
The Team of Agents at Work
At Flex, they help renters stay on track by letting them split monthly payments and avoid late fees. They replaced a rigid chatbot with Lorikeet to better manage the high-stakes, high-emotion support that comes with housing and rent payments. In a head-to-head test against Decagon, Lorikeet outperformed across every key metric, delivering accurate, policy-aligned responses at speed.
At Arbor, which serves customers across 13 states in retail energy, customers praise Lorikeet’s agent by name in reviews, often unaware they’re chatting with AI. “Most AI companies talk about deflection like it’s the goal,” said Jessica Mishlove, Head of Customer Operations. “We wanted to solve hard problems. Lorikeet stood out by focusing on exactly what we needed.”
The results: higher customer satisfaction, stronger brand loyalty, and significantly scaled agent productivity, enabling support teams to do more with existing staff rather than simply reducing costs.
The Team of Agents platform with full voice integration will soon be available at www.lorikeetcx.ai.
Lorikeet Recognized Among Top AI Tools Startups Are Actually Paying For
Lorikeet was also recognized in Andreessen Horowitz’s inaugural AI Spending Report. The report analyzes transaction data from over 200,000 startups to identify the AI tools that companies are actually investing in. Lorikeet was the highest ranked AI company for customer experience and customer support, underscoring its growing adoption and the increasing demand for AI-powered solutions that deliver real, end-to-end problem resolution.