Back to help

What Lera does and how it works end to end

Lera today is centered on calls. It is not a generic chatbot or a huge platform: it is an operational call intake flow that ends in a clear case inside the panel.

The core flow

A person calls, the voice agent answers, captures the minimum data and leaves the incident prepared in the panel.

The goal is not to impress with technology but to let the team see a clear and usable notice as soon as the call ends.

What gets stored

Each call leaves a transcript, a summary and structured fields such as customer, phone, problem, urgency and address when relevant.

That removes the need to reconstruct the conversation later or rely on loose notes.

When a human steps in

If the call requires a person, Lera can transfer the conversation without losing the context already captured.

If no transfer is needed, the case remains ready for the team to handle when appropriate.