VMblog: How does Lorikeet’s AI platform differ from conventional chatbots and support models?
Steve Hind: Lorikeet’s AI platform goes beyond simple Q&A, executing complex workflows and solving intricate customer problems. It employs human-like reasoning to follow standard operating procedures, tackling high-stakes interactions that traditional chatbots can’t handle.
VMblog: What unique capability does Lorikeet’s AI agent possess that sets it apart from other AI solutions?
Hind: Lorikeet’s AI agent can understand and execute complex workflows, encapsulating the business logic typically reserved for skilled human agents. This allows it to actively solve problems rather than just retrieve information. It can handle complex, multi-step standard operating procedures that other AI solutions can’t.
VMblog: How does Lorikeet address the current challenges in customer support?
Hind: Lorikeet tackles the hardest support tickets first, focusing on executing workflows that actually solve customers’ problems. This approach allows companies to provide fast, reliable support even as their customer base grows, without scaling headcount proportionally.
VMblog: What impact has Lorikeet had on its early adopters’ customer support metrics?
Hind: Early adopters have seen significant improvements in their ability to handle complex issues 24/7 that previously required skilled human agents. This has allowed them to scale their support capabilities efficiently while maintaining high-quality customer interactions. Customers are seeing the AI resolve 30-50%+ of their most complex use cases, with 80-90% successful resolution when the agent engages.
VMblog: Why did they start with the hardest use cases first?
Hind: The team is ambitious and focused on driving maximum value, not deploying the easiest solution. The result is the platform’s capability to tackle complex, high-stakes interactions.
VMblog: What industries is Lorikeet particularly well-suited for, and why?
Hind: Lorikeet is especially suited for fintech companies, health tech organizations, and other complex businesses with intricate support needs. These industries benefit from Lorikeet’s ability to handle high-stakes interactions and follow precise business logic.
VMblog: How does Lorikeet’s AI agent integrate with existing company workflows?
Hind: Lorikeet’s AI agent seamlessly integrates with existing company workflows, maintaining a natural conversational experience while strictly adhering to business rules. This allows for a smooth transition and enhancement of current support processes.
VMblog: What long-term impact could Lorikeet have on the customer support industry?
Hind: Lorikeet could revolutionize customer support by enabling companies to scale exceptional experiences without sacrificing quality. It has the potential to transform support from a cost center to a strategic asset, significantly reducing the portion of top-line revenue typically spent on support.
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