AI chatbots that understand context and solve problems
Build LLM-powered conversational AI that goes beyond decision trees. Grounded in your data, deployed on any channel (web, WhatsApp, Slack, Teams), and capable of handling complex queries with intelligent escalation.
Your current chatbot frustrates more customers than it helps
Legacy chatbots follow rigid decision trees. They cannot handle anything off-script, they make customers repeat themselves, and they force users through menus when they just want to ask a question. Meanwhile, support ticket volume grows, hiring more agents is expensive, and response times keep slipping. You need chatbots that actually understand what customers are asking.
73%
Of customers say chatbots are the most frustrating service channel
60%
Of routine support queries could be resolved by AI
3-5x
Cost difference between human agent and AI resolution
24/7
Availability that human-only support cannot provide
How Optivus builds intelligent conversational AI
We build LLM-powered chatbots grounded in your specific data (product docs, knowledge base, past tickets, SOPs). They understand natural language, maintain conversation context, handle complex multi-turn queries, and escalate to humans intelligently when needed.
Define scope and data
Map the conversations your chatbot should handle. Identify knowledge sources (docs, FAQs, ticket history). Define escalation rules.
Build knowledge layer
Build the RAG pipeline connecting the chatbot to your data. Ensure accurate, cited responses grounded in your actual documentation.
Deploy and integrate
Deploy on your chosen channels (web widget, WhatsApp, Slack, Teams). Integrate with your CRM and ticketing system for context.
Monitor and improve
Track resolution rates, escalation patterns, and user satisfaction. Improve responses based on conversation analytics.
Key capabilities
LLM-powered understanding
Natural language understanding that grasps intent, not just keywords. Handles typos, slang, and complex phrasing.
Knowledge-grounded responses
RAG-backed answers from your docs, FAQs, and knowledge base. No hallucinated information. Cited sources.
Multi-turn conversations
Maintains context across a conversation. Follow-up questions work naturally. Users never have to repeat themselves.
Intelligent escalation
Routes to human agents when needed with full conversation context. The agent picks up where the bot left off.
Multi-channel deployment
Deploy on web, WhatsApp, Slack, Teams, or any messaging platform. Consistent experience across channels.
Multi-language support
Support conversations in English, Hindi, and regional languages. Important for serving customers across India.
Results you can expect
60%
Of routine queries resolved without human intervention
24/7
Availability across all connected channels
3-5x
Cost reduction vs human-only support
2-4 weeks
From scoping to production deployment
Our AI implementation process
Every engagement follows the same four-phase structure.
Scope
Map the workflow, define success criteria, lock deliverables.
Build
Weekly working demos. Direct channel with the build team.
Ship
Production deployment on your cloud with monitoring.
Scale
Optimize on real usage. Expand to adjacent workflows.
Frequently asked questions
Related solutions
For your industry
From our blog
Ready to get started?
Book a 25-minute call. Bring your workflow and we will show you exactly how we would approach it.