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 production n8n systems that connect business tools, APIs, databases, and AI services into reliable workflows. The focus is not only moving data between apps, but designing workflows that match how the business actually operates.
Webhook-based lead capture and routing
API integrations with CRMs, WhatsApp, payment tools, and databases
Scheduled jobs with retries, logging, and failure alerts
AI-assisted workflows using Claude, Gemini, and structured JSON outputs
Self-hosted n8n deployment and PostgreSQL-backed workflow systems
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
Zoho CRM setup, custom modules, client scripts, Deluge functions, workflow rules, and cross-module automation.
Service
WhatsApp bots for lead qualification, multilingual conversations, sales alerts, and CRM handoff.
Service
AI agents for sales replies, lead memory, storyboard generation, data extraction, and structured automation outputs.
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.
Guide
A practical founder-focused guide to capturing IndiaMART inquiries, cleaning them, and routing them into Zoho CRM with n8n.
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.
Case study
A full LinkedIn outreach system with scraping, gradual connection ramp-up, post engagement, acceptance tracking, campaign messaging, and Claude-powered replies with lead memory.
Case study
A two-workflow pipeline that converts a written script into a narrated, subtitled, edited 1080p video using AI storyboarding, image generation, voiceover, and FFmpeg.
Case study
A WhatsApp AI sales assistant that qualifies freight leads in English, Hindi, and Telugu, stores lead memory, and alerts sales when a quote is requested.
Lead capture, CRM updates, invoice creation, WhatsApp notifications, AI reply agents, scheduled follow-ups, reporting pipelines, and multi-step approval flows.
Yes. In the documented projects, n8n was used to push leads from IndiaMart, website forms, Meta Ads, WhatsApp bots, and Tally into CRM or Books systems.
Yes. The source projects include self-hosted n8n on Hostinger VPS with Docker, PostgreSQL, Traefik, and restart-safe container setup.
Yes. Claude, Gemini, ElevenLabs, and image-generation APIs have been used inside n8n workflows with structured prompts and downstream validation.
Workflows are designed with retries, audit logs, status fields, database persistence, and separate cleanup or fallback paths where needed.