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AI & DataAI Growth

AI Chatbots & Conversational AI

Transform customer service and internal operations with conversational AI. Our AI chatbots are powered by advanced Retrieval-Augmented Generation (RAG) and connect directly to your databases, ticketing systems, and knowledge bases to provide accurate, context-aware, and safe responses in real-time.

Target Outcome

65% reduction

in customer support ticket volume.

Core Capabilities

RAG (Retrieval-Augmented Generation)

Power responses using your internal documentation, PDFs, and wikis.

Multilingual & Omni-channel

Deploy across Web, WhatsApp, Teams, Slack, and Mobile in 40+ languages.

Smart Routing

Seamlessly hand off complex queries to human agents with full context and transcripts.

Guardrails & Alignment

Block toxic inputs and hallucinated outputs using custom prompt-engineering layers.

Delivery Framework

Phase 1 of 5

Knowledge Auditing & Interface Design

Rigorous quality control gating ensures that each stage of the development lifecycle is signed off on and performance-tested before progressing.

Operational Impact

  • 65% reduction in customer support ticket volume.
  • Sub-second response times across all digital channels.
  • 94% customer satisfaction (CSAT) rating on chatbot interactions.

Solution Stack

LangChainOpenAI APILlama 3PineconeMilvusNext.jsPython

Case Inquiries

24/7 Global Retail Support

Deployed a multilingual agent handling 80% of routine inquiries, relieving pressure on support centers.

Internal HR Copilot

Engineered a Teams chatbot that resolves policy questions and automates employee leave requests in real-time.

Frequently Asked Questions

We implement strict grounding using Vector Databases (RAG). The chatbot is constrained to answer only based on verified source documents, and we use real-time evaluation guards to flag any ungrounded answers.
Yes, we build custom middleware adapters to connect the chatbot with legacy SOAP or REST APIs to fetch and update user records securely.

Ready to build this solution?

Consult with our solution engineering team to review integration timelines, database schemas, and compliance requirements.