Lorikeet

productivity

Building and tuning an AI support agent means juggling workflows, tools, integrations, guardrails, and then checking how it actually performs against real conversations. Neotask connects to Lorikeet so you can configure that agent and review its quality metrics directly.

• Build and manage AI customer support agents across voice, chat, and email
• Configure workflows, tools, integrations, and guardrails for the agent
• Review ticket data, run simulations against mock customer profiles, and analyze quality metrics

What you can automate

Lorikeet

Lorikeet lets you build and manage AI customer support agents that work across voice, chat, and email, including configuring workflows, tools, integrations, and guardrails. You can review ticket data, run simulations against mock customer profiles, and analyze quality metrics for how the agent is handling support conversations.

Real workflows

Tune a support agent and check its quality

Ask Neotask to adjust a workflow, tool, or guardrail on your support agent; it configures the change in Lorikeet, then runs a simulation against a mock customer profile and reports quality metrics on how the agent handled it.

Frequently asked questions

Does this cover voice as well as chat and email?

Yes — Lorikeet's support agents work across voice, chat, and email, and Neotask can configure any of those channels.

Can I test changes before they go live?

Yes — running simulations against mock customer profiles is exactly how you validate a workflow change before it handles real conversations.