Integrating Lorikeet via the SDK is straightforward: you keep the customer experience in your product, and use Lorikeet behind the scenes to understand requests, follow your policies, and take actions. Your team builds the surface (in-app assistant, chat entry point, or an internal agent), then sends customer messages and context to Lorikeet and displays the responses back to the customer.

For chat and in-app experiences, the SDK works as a simple request/response integration. Your app forwards each customer message to Lorikeet, receives an AI-generated reply, and can continue the conversation over multiple turns using the same conversation ID. You can pass customer identifiers and any relevant context up front so responses are personalized and workflows can execute accurately.

For voice, the SDK supports initializing inbound calls with the right customer context before routing the live call to Lorikeet, and it can also power outbound calling as part of proactive workflows (like reminders, verification calls, and follow-ups). This approach reduces implementation effort while keeping the integration maintainable as your voice workflows evolve.