AI Chatbot Development
Enterprise chatbots that resolve — not just respond.
Most chatbots fail because they're designed around what's easy to build, not what customers actually ask.
Conversational AI systems built for enterprise complexity. We integrate with your CRM, ticketing, knowledge base, and legacy backends so the chatbot actually resolves queries — not just acknowledges them.
Chatbot performance across AurvikAI deployments
average containment rate
conversations per month
avg. resolution time
user satisfaction score
Our approach
Start with real conversations, not assumptions.
We analyse actual user queries — support tickets, chat logs, search queries — to understand what users really ask, how they phrase it, and what failure modes matter most. Chatbots designed from assumptions about user behaviour fail in production. Chatbots designed from real conversation data don't.
The chatbot is the easy part. The integration is the work.
conversations analysed per engagement
intent taxonomies built
Enterprise-grade architecture
Built for the systems your chatbot needs to access.
A chatbot is only as useful as the backends it connects to. We build deep integrations with the systems that hold the answers your customers are looking for.
enterprise systems integrated across deployments
AurvikAI project data
CRM integration
Real-time customer context from Salesforce, HubSpot, or your custom CRM — so the chatbot knows who it's talking to.
Knowledge base retrieval
RAG-powered document search across your help centre, internal wiki, and product documentation.
Ticketing & escalation
Automatic ticket creation in Zendesk, ServiceNow, or Jira with full conversation context passed to the human agent.
Order & account management
Direct API access to order status, account changes, and billing systems for self-service resolution.
Chatbot types we build
Different conversations require different architectures.
High-volume support automation with intelligent escalation and full backend resolution capability.
Complex queries requiring multiple steps, clarifications, and backend lookups — resolved without human intervention.
Real-time sentiment detection that escalates frustrated customers to human agents before they churn.
Natural conversation in 40+ languages with consistent resolution quality across all supported languages.
Traditional chatbot vs. AurvikAI conversational AI
The gap between a chatbot that deflects and one that resolves is measured in customer satisfaction and support cost.
Rule-based chatbot
- Rigid decision trees that break on unexpected phrasing
- Can only answer FAQs — everything else hits a dead end
- No access to backend systems for actual resolution
- Users learn to skip it and go straight to phone support
- 45% containment rate on a good day
AurvikAI conversational AI
- Natural language understanding across phrasing variations
- Backend integrations that resolve, not just acknowledge
- Intelligent escalation with full conversation context
- Users prefer it because it's faster than phone
- 74%+ containment rate with higher satisfaction scores
See it in action
Enterprise chatbot resolving a multi-step customer query
Watch how an AurvikAI chatbot handles a complex order modification — accessing the order management system, checking inventory, processing the change, and confirming with the customer in under 45 seconds.
INSIGHTS
Thinking worth reading
Ready to build a chatbot that actually resolves queries?
Let's start with a conversation about your support volume, your systems, and what resolution looks like for your customers.