WhatsApp chatbot built for real operations
Automate WhatsApp conversations with rules, flows, and AI — while keeping humans, approvals, and governance in the loop.
Why basic chatbots fail on WhatsApp
Most WhatsApp chatbots work in isolation — without inbox visibility, fallback control, or operational ownership.
Automation without control
Bots respond blindly with no escalation path, audit trail, or human oversight.
Inbox disconnected from automation
Teams can’t see what the bot handled, missed, or escalated.
Hard to govern at scale
No versioning, approval flow, or tenant-level isolation across brands or clients.
AI without guardrails
AI replies risk hallucinations without structured rules and clear boundaries.
Chatbots as part of a governed platform
KT AI treats WhatsApp chatbots as one capability inside a larger operational system — not as a standalone tool.
Rules & flow-based automation
Human handoff to shared inbox
AI assistance with guardrails
Keyword & intent routingFallback to agentsApproval-aware responsesConversation historyMulti-tenant isolation
Chatbot Flow / Inbox Illustration
Common WhatsApp chatbot use cases
Where teams see the most value from structured automation.
Lead qualification
Ask questions, capture intent, and route conversations to sales teams automatically.
Customer support triage
Handle FAQs, order status, and simple issues before escalating to agents.
Notifications & follow-ups
Combine bot logic with templates for reminders, confirmations, and updates.
WhatsApp chatbot FAQs
Answers to common questions about automation, AI, and control.