Listen
Understand the customerโs issue.
Handle routine customer questions, collect context and route issues to the right human path when the request needs personal attention.
Support teams spend time answering questions that are important to customers but repetitive for staff. An AI support workflow can handle the first response and gather the details needed for escalation.
The goal is not to automate every support case. It is to make routine communication faster while making complex handoffs clearer.
Understand the customerโs issue.
Ask for the missing information.
Provide the configured response or action.
Route cases that need human judgement.
Use voice, messaging and website conversations to create a consistent support entry point, then route the customer based on the configured workflow.
Complex cases can move to a human with the conversation context intact, helping the team pick up where the AI stopped.
The goal is not to force every interaction through AI. The goal is to make the automated part useful, preserve context and make the human transition clear.
Explore human handoff โUse the product visual as a starting point. Replace it with your final workflow recording or dashboard capture before launch.
No. The platform also supports messaging channels such as WhatsApp, social conversations and website widgets.
Yes. Human handoff is part of the platform workflow.
Call summaries and analytics are included in the platform capability.
Map the conversation, action and handoff before you scale it.
Talk through your workflow โ