Customer Conversations
Conversational AI Services.
Conversational AI services with chatbots, RAG-grounded replies, and voice AI that qualify leads, answer questions, and keep buyer conversations moving across messaging, web, and voice.
Book Conversational AI AuditLive Across Messaging, Web & Voice
- Messaging
- Web
- Voice
Revenue Impact Metric30%more revenue
The Problem
Who This Is For
Inbound
Leads unanswered across chat channels
Inbound messages sit for hours across chat and voice touchpoints. The prospect already moved on before your team replies.
BrownMind
Messaging Orchestration
Inbound
Chatbots that hallucinate
Off-the-shelf chatbots make up answers, quote wrong pricing, and damage trust.
BrownMind
RAG Pipeline
Inbound
No 24/7 engagement
Your best leads come in at night and on weekends. No coverage means lost money.
BrownMind
24/7 AI Agent
Inbound
Manual call review
Sales calls get recorded but never reviewed. Nobody listens to 50 calls a week.
BrownMind
Whisper + CRM Sync
Capabilities
What We Build
Live conversation
A call, as the system hears it
Messaging Automation
Automated lead follow-up and qualification with intelligent batching, routing, and multi-step conversation flows across chat channels.
Twilion8n
RAG & Semantic Search
Document-grounded AI that cites sources for every answer. Multi-document indexing and retrieval built in.
pgvectorOpenAI
Voice AI
Call transcription and summarization, voice-note handling, personalized voice campaign generation, and audio workflows inside a production system.
ElevenLabsWhisper
AI Chatbot Interfaces
Custom chat UIs with streaming responses, context-aware conversation management, and embeddable widgets for any website.
ReactVercel AI SDK
Lead Qualification via Conversation
AI-driven lead scoring from conversations with automated CRM updates, tagging, and smart handoff to human agents.
Close.comSupabase
Proof of Work
Systems We've Shipped
Production systems running in the wild — not demos.
30%more revenue
Conversational Sales Automation
Conversational Sales Automation
Leads slipped away30% more revenue
Trigger.dev / Twilio / WhatsApp Business API / Supabase
10+hrs saved/week
AI Search Product
Hybrid RAG Workflow Assistant
Hours searching across toolsInstant answers, one chat
Next.js 16 / React 19 / AI SDK 5 / Qdrant
Related Entry Points
When conversation is only one layer of the system
Messaging, voice, and chat flows usually connect to a deeper workflow. If the real leak is lead qualification and routing, start there. If the harder problem is grounded answers and retrieval quality, the better starting point is RAG chatbot development.
Sales Pipeline
Lead Qualification Automation
Automate lead intake, enrichment, routing, and first follow-up so qualified opportunities do not stall in manual handoffs.
Explore Lead QualificationAI Search Systems
RAG Chatbot Development
Build retrieval-grounded assistants and AI search systems that return reliable answers and plug into real product or internal workflows.
Explore RAG Chatbot DevelopmentFrom the Lab
Related Reading
When to Build a Custom AI Sales System
A guide for revenue teams deciding when scattered tools are no longer enough and a custom AI sales system is the better move.
Read
Vector Databases and Embedding Models in AI Search
A practical guide to what vector databases and embedding models do, how they work together, and when they matter in RAG and semantic search systems.
Read
When a Workflow Should Become an AI Agent
A practical guide to deciding when deterministic automation is enough and when the problem has become agentic enough to justify a different architecture.
Read
Conversational AI FAQ
Conversational AI FAQ
Questions teams ask before replacing disconnected chat, voice, and knowledge-base tools with one conversational AI system.
Do you build chatbots, voice AI systems, or full conversational workflows?
All three. Some projects start with a chatbot or voice workflow, but most clients need a broader conversational system that handles lead qualification, CRM updates, knowledge-base answers, routing, and escalation to humans.
Can the system answer from our documents or knowledge base?
Yes. We build retrieval-grounded chatbots so responses are tied to your documents, pricing, FAQs, or product knowledge instead of generic model guesses.
Do you support voice AI, calls, and audio workflows?
Yes. We can process voice notes, transcribe calls, generate speech responses, summarize conversations, and sync the results into your CRM or internal systems.
What kinds of businesses fit conversational AI best?
Businesses with high inbound conversation volume, delayed follow-up, repetitive qualification work, or document-heavy responses benefit most. Real estate, agencies, service businesses, recruiting, and sales teams are common fits.
Can the AI hand conversations to humans when needed?
Yes. We design handoff rules so humans step in when the buyer is qualified, the conversation gets complex, or a task requires approval.
Your leads reach out after hours. Who responds first?
Book a 30-minute call with Apurva. We'll map which conversations should be automated and which need a human.