Lorikeet Lorikeet
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Demo Agenda

FS Vector × Lorikeet

A walkthrough of how Lorikeet builds, tests, and safely deploys AI customer-support agents for complex, regulated businesses — across voice, chat, and email.

About Lorikeet

Lorikeet builds AI concierges for complex, regulated businesses. We work with scaling, digitally native companies in industries like fintech, healthtech, and insurance—where support requires real judgment, accuracy, and the ability to handle high-stakes, nuanced interactions.

A few of the companies we work with

Carmoola Airwallex Flex PayJoy Self Taptap Send
  1. 1

    Lorikeet overview

    Who we are and the problem we solve: production-grade AI agents for complex, regulated businesses, working across voice, chat, and email.

  2. 2

    Building Lorikeet agents

    How workflows, tools, and knowledge come together — natural-language and structured workflows, live tool calls, and multi-channel design including outbound voice.

  3. 3

    Guardrails

    Runtime safety checks that enforce the rules a regulated business can't get wrong — consent before money movement, no guaranteed outcomes, and identity verification before disclosure.

  4. 4

    Simulations & testing

    Validating agents before they touch real customers — scenario-based simulations, regression suites, and hill-climbing to a confident pass rate.

  5. 5

    Reporting, analytics & quality assurance

    Measuring what matters after go-live — resolution and escalation insight, ticket quality scoring, and the feedback loop that keeps quality climbing.

  6. 6

    Deployment model

    How Lorikeet goes live in your environment — sandbox to production, staged rollout, ticketing-system integration, and ongoing change management.

  7. 7

    Q&A

    Open discussion — your scenarios, compliance questions, and next steps.

Lorikeet — AI customer support for complex & regulated businesses Try the live agent in the corner →