Category
workflow-escalation
Setup
Dashboard, minutes
Channels
Web, WhatsApp, SMS, Slack, Teams
Data handling
SOC 2 Type II · GDPR
The chatbot-versus-live-chat debate is a false choice. Bots handle volume but frustrate people on the hard questions; live chat handles the hard questions but doesn't scale to every repetitive one. Wonderchat runs both as one system, so each does what it's good at.
The AI agent answers the questions it can from your own content - grounded in your docs and citing the source - which is most of them. When a conversation needs a person, it hands off to live chat with the full history already on screen, so your agent picks up mid-conversation instead of asking the customer to start over. You set the triggers: when the agent escalates, and when a human should step in unprompted.
The result is that your team stops burning time on the same repetitive questions and spends it on the conversations that genuinely need judgment. The customer, meanwhile, gets an instant answer when the AI can give one and a real person when it can't - without noticing the seam.
This is the two-agent model in one widget: automation on the volume, humans on the exceptions, one continuous conversation across both. It's part of a SOC 2 Type II certified, GDPR-compliant platform. Stop choosing between scale and quality - run the agent that gives you both.
What you control
Escalation triggers and keywords
Live chat hours per weekday
Fields collected before handoff
Offline behaviour and email fallback
Frequently asked question
Is a chatbot or live chat better for customer support?
You don't have to choose. Wonderchat's AI answers what it can from your content and hands off to live chat - with full context - for anything that needs a person.
Does the customer have to repeat themselves at handoff?
Can I control when a conversation goes to a human?
See it answer your hardest question — from your own docs.
One agent for support and sales, trained on your content, ready in minutes.