01 / CONVERSATIONS
Business-approved answers
Give visitors fast, specific answers grounded in the business context your team has approved, even outside office hours.
Map your knowledgeTHE SYSTEM
Everything your first response needs to move forward.
KT Front Desk connects visitor conversations to the operational details behind them: trusted answers, qualified context, human escalation, and an operator who can keep improving the loop.
FEATURE CATALOG
The front desk is more than a chat bubble.
Every capability is designed to make the visitor experience clearer and the operator workflow more useful.
02 / LEADS
Conversational lead capture
Collect business name, website, contact details, and use case through a guided flow instead of forcing every visitor into a cold form.
Explore use cases03 / ROUTING
Human-ready routing
When a question is sensitive, high-intent, or complex, preserve the conversation context and route it to the right human path.
Design the handoff04 / OPERATIONS
Operator dashboard
Manage tenant readiness, business configuration, leads, conversations, attention work, and follow-up from protected operator tools.
See our approach05 / BRAND
Hosted widget and branding
Deploy one tenant-aware widget with controlled branding, isolated iframe behavior, and a clear path back to the business team.
Plan your setup06 / INSIGHT
Conversation feedback loop
Use operator attention and chatbot analytics to see where visitors need help and where the front desk should improve next.
Read the field notes07 / DEMOS
Guided demo intake
Let a prospect request a guided demo from the page or chat, with validation, duplicate protection, and a defined follow-up path.
Request a demo08 / CONTROL
Secure by design
Tenant boundaries, App Check, origin validation, bounded inputs, idempotent actions, and protected routes keep the system accountable.
Understand the baselineTHE OPERATING LOOP
A better answer creates a better next signal.
Each conversation can help a visitor take action and help your team understand what to improve.
- Visitor asks in their own words
- Front desk answers or gathers context
- Operator sees what needs attention