Lead Qualification Automation
Automate lead intake, enrichment, routing, and first follow-up so qualified opportunities do not stall in manual handoffs.
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Conversational AI
Live Across Messaging, Web & Voice
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 Audit Revenue Impact Metric
30 %
more revenue
The Problem
Who This Is For
Leads unanswered across chat channels
Inbound messages sit for hours across chat and voice touchpoints. The prospect already moved on before your team replies.
SOLUTION: Messaging OrchestrationChatbots that hallucinate
Off-the-shelf chatbots make up answers, quote wrong pricing, and damage trust.
SOLUTION: RAG PipelineNo 24/7 engagement
Your best leads come in at night and on weekends. No coverage means lost money.
SOLUTION: 24/7 AI AgentManual call review
Sales calls get recorded but never reviewed. Nobody listens to 50 calls a week.
SOLUTION: Whisper + CRM SyncVoice Agent
CONNECTING...
0:00
Duration
Establishing connection...
Capabilities
What We Build
01
Messaging Automation
Automated lead follow-up and qualification with intelligent batching, routing, and multi-step conversation flows across chat channels.
Twilio n8n
02
RAG & Semantic Search
Document-grounded AI that cites sources for every answer. Multi-document indexing and retrieval built in.
pgvector OpenAI
03
Voice AI
Call transcription and summarization, voice-note handling, personalized voice campaign generation, and audio workflows inside a production system.
ElevenLabs Whisper
04
AI Chatbot Interfaces
Custom chat UIs with streaming responses, context-aware conversation management, and embeddable widgets for any website.
React Vercel AI SDK
05
Lead Qualification via Conversation
AI-driven lead scoring from conversations with automated CRM updates, tagging, and smart handoff to human agents.
Close.com Supabase
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.
Proof of Work
Systems We've Shipped
Production systems running in the wild — not demos.
Conversational Sales Automation
Conversational Sales Automation
30% more revenue
Before
Leads slipped away
After
30% more revenue
STACK: Trigger.dev / Twilio / WhatsApp Business API / Supabase
AI Search Product
Hybrid RAG Workflow Assistant
10+ hrs saved/week
Before
Hours searching across tools
After
Instant answers, one chat
STACK: Next.js 16 / React 19 / AI SDK 5 / Qdrant
Related Reading
Apurva Khandelwal
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.
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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.
Vector Databases Embedding Models
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Apurva Khandelwal
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.
Workflow Automation AI Agents
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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.