Lorikeet

Lorikeet is an AI customer support platform built for complex, high-stakes support, where its agent follows defined workflows, runbooks, and standard operating procedures to resolve issues with human-quality accuracy rather than only answering FAQs. It is priced on outcomes, so customers pay for tickets the AI resolves, with plans starting around $1,500 per month. It fits regulated and complicated domains like fintech and healthcare, and delivers the most value when teams invest in defining the procedures the agent follows.

Lorikeet builds an AI customer support agent aimed at complex, high-stakes support rather than simple FAQ deflection. Instead of only answering from a help center, its agent is designed to follow structured workflows, runbooks, and standard operating procedures, referencing the right context to handle multi-step issues the way a trained human agent would. This makes it a fit for industries like fintech, healthcare, and other regulated or complicated domains where getting the process right matters. A distinctive part of Lorikeet's model is outcome-based pricing: customers pay for tickets the platform resolves, rather than for seats or raw message volume. Published plans start in the low four figures per month for a capped number of tickets, scaling up to custom enterprise pricing, which aligns cost with value delivered. Lorikeet is a younger, venture-backed company, and its emphasis on workflow-driven accuracy and human-quality support differentiates it from lighter chatbots. Buyers should weigh that its strengths shine in complex support scenarios, and that realizing them requires investment in defining the workflows and procedures the agent follows.