Autonomous AI Agents
Conversational AI Chatbots across digital channels
Deliver consistent, LLM-powered answers across web, mobile, WhatsApp, and social with grounded responses from your knowledge base and business systems.
Challenges
What this product helps teams solve
Slow first response on digital
Customers abandon chat and messaging when queues lag during peaks.
Ungrounded generative answers
Generic LLM replies risk inventing policies or product details.
Broken channel handoffs
Context disappears when a bot escalates to email, WhatsApp, or live agents.
Outcomes
Business outcomes
- Lower cost per conversation
- Faster first response
- Higher CSAT
How it works
From first contact to resolution and insight
Follow the animated workflow below—each step shows the full action path from customer contact through resolution and insight.
Conversational AI Chatbots flow
Step 01
Customer opens chat, WhatsApp, or social
Step 02
Intent and knowledge retrieval
Step 03
Grounded generative or hybrid response
Step 04
Optional CRM update or workflow
Step 05
Escalate to agent with full transcript
Capabilities
Key capabilities in detail
Hybrid orchestration
Combine generative answers with rules and approved workflows.
Knowledge grounding
Answer from policies, FAQs, SKUs, and SOPs you control.
Messaging connectors
Reach customers on web, mobile, WhatsApp Business, and social surfaces.
Proactive journeys
Trigger campaigns and notifications with conversation continuity.
Sentiment-aware escalation
Hand off when frustration or risk signals appear.
Transcript continuity
Agents see the full digital thread before they reply.
- Generative & rule-hybrid orchestration
- WhatsApp Business & social connectors
- Knowledge base grounding
- Human handoff with full transcript
- Proactive campaigns & journeys
- Sentiment-aware escalations
Use cases
Where teams apply Conversational AI Chatbots
Practical scenarios with full detail—so stakeholders can map this product to real operating workflows.
Use case 01
Website and in-app support deflection
Answer common questions before a ticket is created.
Use case 02
WhatsApp order and delivery updates
Keep customers informed on messaging with grounded replies.
Use case 03
Lead capture and appointment booking
Convert chat interest into booked meetings and CRM leads.
Use case 04
Policy and product Q&A
Ground answers in approved knowledge so replies stay accurate.
Use case 05
Proactive retention outreach
Trigger helpful conversations when risk or churn signals appear.
Use case 06
After-hours digital coverage
Cover digital channels when live agents are offline.
Built for
Teams that own customer conversations
Designed for the roles that fund, operate, and improve customer communications every day.
- Digital CX and chatbot owners
- Support operations managers
- Marketing and growth teams
- E-commerce and retail service leads
- Knowledge and content owners
- IT and integration stakeholders
- Customer care directors
- Growth and conversion teams
Related solutions
Outcome pathways that use this product
Related in Autonomous AI Agents
AI Voice Agents
Autonomous voice assistants that handle inbound and outbound calls with human-like comprehension.
Conversational IVR
Natural language phone menus that replace traditional touch-tone trees with instant intent resolution.
AI Copilot & Agent Assist
Real-time agent guidance, automated note-taking, and next-best-action prompts during live interactions.
Product FAQ
Web chat, mobile chat, WhatsApp, and social messaging channels can share grounded knowledge, identity, and human handoff rules.
Deploy conversational AI that stays grounded
Review channel coverage, knowledge grounding, and escalation design with our team.