Bill of materials
Tech stack and integrations
Pricing approach
Project-based and scope-dependent. Book a call to discuss the workflow, complexity, integrations, and rollout plan.
Automation service
Abhijeet builds AI voice agents that handle inbound and outbound calls the same way his WhatsApp agents handle chat: qualify the lead, capture structured data, hand off to a human at the right moment, and log everything into the CRM with full conversation memory.

Inbound call answering with natural conversation flows
Lead qualification scripts with structured data capture
Appointment booking synced to calendars and CRM
Call summaries, transcripts, and CRM logging via n8n
Escalation rules that hand hot leads to a human instantly
Bill of materials
Project-based and scope-dependent. Book a call to discuss the workflow, complexity, integrations, and rollout plan.
Related resources
These service, guide, and proof pages support this implementation path.
Service
WhatsApp automation for lead qualification, multilingual AI conversations, sales alerts, and clean CRM handoff — every enquiry answered, every conversation remembered.
Service
AI agents for sales replies, lead memory, storyboard generation, data extraction, and structured automation outputs.
Service
Custom n8n workflow automation for lead capture, CRM sync, AI enrichment, approvals, and notifications — built to keep running when nobody is watching.
Guide
Learn how startup teams can use AI agents to reduce missed follow-ups, keep CRM records updated, and improve lead response without losing human control.
Guide
Good automation starts with the business process, not the tool. Here is a practical way to map workflows before building in n8n, Zoho, or AI agents.
Guide
A practical founder-focused comparison of n8n and Zapier, covering ease of use, flexibility, costs, AI workflows, and which platform startups should choose in 2026.
Case study
A WhatsApp AI sales assistant that qualifies freight enquiries in English, Hindi, and Telugu, remembers every conversation, and alerts the sales team the moment a quote is requested.
Case study
A complete LinkedIn outreach system: prospect scraping, a deliberately gradual connection ramp, post engagement, acceptance tracking, campaign messaging, and Claude-powered replies that remember every lead.
Case study
A freight CRM that carries an enquiry through contacts, accounts, deals, quotes, jobs, cost sheets, and invoicing — with client scripts and Deluge automation removing the re-typing between every stage.
Q.01
First-touch call answering, lead qualification, FAQs, appointment booking, and follow-up calls. Complex or sensitive conversations are escalated to a human with full context.
Q.02
Yes. Telephony providers like Exotel and Twilio cover Indian and international numbers, and the agent can be designed for English and Hindi conversations.
Q.03
Every call produces a transcript, a structured summary, and a CRM record — pushed automatically through n8n so sales sees qualified leads, not voicemails.
Q.04
Yes. Voice agents can run scheduled follow-ups on quiet leads, confirm appointments, and trigger reminders, with rules controlling frequency and timing.
Q.05
Escalation rules watch for intent signals like a quote request or frustration. The agent transfers the call or alerts the team instantly on WhatsApp or email with the full conversation context.