Sunbot Labs project · customer support
AssistFlow pairs a guided customer conversation with the staff context needed to review requests, capture leads, create tickets, and manage human follow-up.
Product overview
A visual introduction to the main workflow, core features, and interface.
Project preview
Continue through the interface guide below to see how the workflow and key screens connect.
Service questions, appointment requests, insurance enquiries, and urgent concerns can arrive at any time. A useful support workflow must give customers a clear response while preserving the context, urgency, and contact details staff need when a person should take over.
AssistFlow connects a customer-facing chat experience with staff dashboards, conversation detail, lead and ticket queues, knowledge content, assistant settings, analytics views, and a responsive mobile conversation flow.
Inside the application
Customer conversations connect directly with the operational views staff use to review urgency, understand context, and continue the interaction.
The customer chat combines suggested questions, clear responses, and structured contact capture so a service request can move into staff follow-up with useful context.
The staff dashboard brings active conversations, urgent requests, captured leads, recent tickets, and follow-up work into one operational view.
The conversation workspace combines the transcript with a concise summary, intent, urgency, customer details, and the recommended next action.
The mobile experience keeps suggested questions, conversation context, contact capture, and escalation steps clear on a narrow screen.
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For production use
Sun Cluster builds AI-assisted support workflows with controlled knowledge, human handoff, and connected customer records.
