NexOper AI: Bilingual Calling, Chat, and Lead Operations PlatformNexOper AI: Bilingual Calling, Chat, and Lead Operations Platform
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Ankit's avatar
Ankit Kumar
• Sep 30
NexOper AI — Bilingual AI Calling & Chat Operations Platform
What if every customer conversation could become a structured business workflow?
We built NexOper AI as a bilingual Hindi + English AI Calling & Chat platform designed to handle customer conversations, answer business-specific questions, capture leads and connect communication with sales operations.
The idea was simple: businesses shouldn't lose opportunities because a call was missed, a customer message arrived after hours, the same question had to be answered repeatedly, or a captured lead wasn't routed to the right person. Instead of building only a chatbot, we connected the complete workflow:
Customer Conversation → AI Response → Knowledge Retrieval → Lead Capture → Lead Assignment → Interaction Logging → Analytics
The AI Experience :-
NexOper AI combines voice and web chat capabilities with a business-specific Knowledge Base and RAG workflow.
Businesses can provide website content, FAQs, pricing, documents, terms and other information. The Website & Docs Hub supports website crawling and knowledge ingestion, while the system processes content into searchable knowledge chunks.
The visible architecture uses Gemini API, Gemini embeddings (gemini-embedding-001) and ChromaDB for vector-based knowledge retrieval.
RAG & AI Diagnostics :- A key part of the platform is making the AI workflow observable instead of treating it as a black box.
The admin dashboard exposes:
• Response latency • Knowledge Base hit rate • Search fallback • Error rate • Indexed documents • Vector cosine-distance diagnostics • Top matched knowledge sections • Response source
The Calling Agent Tester also provides a diagnostic playground where conversations can be tested and retrieval behavior inspected before deploying the experience to real customers.
Lead Capture & Sales Operations :-
Customer conversations can feed directly into lead management. The Leads & Contacts system is designed to capture customer names, phone numbers, emails, inquiry details, communication channels and assignment status.
It also includes Round-Robin Lead Auto-Assignment, allowing incoming leads to be distributed cyclically across configured sales representatives.
This turns :-
Lead arrives → Manual checking → Manual assignment
into:
Lead arrives → Capture → Automatic routing → Sales follow-up
Business Knowledge & Configuration :- The Business Variables section allows the business profile and agent identity to be configured centrally, including company name, agent name, website, phone number, WhatsApp number, support email and business services.
The Website & Docs Hub provides two knowledge-ingestion paths:
Website URL → Crawl → Extract → Chunk → Embed → Index
and
Business Documents → Knowledge Ingestion → Index → Retrieval
Data & Observability :- NexOper AI also includes interaction telemetry and operational monitoring.
The Database & Logs interface records interaction data such as time, channel, user/phone, question, source, latency and status. The shown environment uses SQLite3 with agent_logs.db, while the platform also provides cloud database integration options such as Supabase/PostgreSQL/Neon.
The result is an AI system where businesses can inspect not only what the assistant answered, but also how the system performed around that interaction.
Why It Matters :- Without an integrated workflow, customer communication can become:
Missed inquiry → Delayed response → Manual lead capture → Manual assignment → Missed follow-up
NexOper AI is designed to create a more structured path:
Conversation → Knowledge → Response → Lead → Assignment → Logging → Measurement
The goal isn't simply to replace human communication. It's to automate repetitive communication, reduce operational friction, capture opportunities more systematically and give businesses visibility into their AI-powered customer workflow.
The Bigger Idea :-
NexOper AI brings together: AI Voice & Chat RAG & Knowledge Retrieval Website & Document Ingestion Lead Management Round-Robin Assignment Interaction Telemetry AI Diagnostics Business Configuration Operational Analytics into one AI operations platform.
The core philosophy is:
Conversation → Knowledge → Action → Data → Improvement.
AI AutomationAI DevelopmentProduct Data AnalyticsFirebase AuthenticationPHPSupabase
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