Imagine knowing which buyer is serious about purchasing the moment they submit your form.
They get lost because nobody qualifies them fast enough.
When a buyer fills a form, someone still has to open the responses, read everything, decide if the lead is serious, and then follow up. By the time that happens, the buyer is often already speaking with another agent.
To solve this, I built a simple AI Buyer Qualification Workflow.
Now the moment a buyer submits a Typeform:
• The lead details are captured automatically
• AI analyzes the responses and classifies the lead based on buying timeline
• 🔥 Hot Lead — Buying immediately
• 🟠Warm Lead — Planning within 1–3 months
• 🔵 Cold Lead — Planning within 4–6 months
The system then:
• Saves the lead and score into Google Sheets
• Sends a priority email alert through Gmail with all the lead details
This means agents instantly know which leads require immediate follow-up and which ones can be nurtured.
No manual sorting.
No delays.
Just clear and prioritized leads ready for action.
Feel free to explore this template and see how it works with real data:
https://lnkd.in/gH8NfC5Y
If you need a customized version for your workflow, feel free to contact me on naveenkumarraju000@gmail.com (mailto:naveenkumarraju000@gmail.com).
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AI Personal Assistant | n8n Automation | Email & Task
We Built a fully automated AI personal assistant in n8n that manages email triage, task scheduling, and calendar updates without manual input. The system uses AI agents to classify, prioritise, and respond to incoming messages saving 5–10 hours per week for busy operators. Modular design means new triggers and actions can be added without rebuilding the core workflow.
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Built a collection of AI-powered business automation systems focused on solving real operational problems.
Projects included:
🚀 AI Customer Support Assistant
An OpenAI-powered support system that answers customer questions using company documentation, FAQs, and knowledge bases while reducing repetitive support workload.
🚀 AI Lead Enrichment & CRM Automation
Automated lead qualification, enrichment, CRM synchronization, and outreach workflows to improve sales efficiency and conversion rates.
🚀 AI Business Operations Automation Suite
Centralized automation platform for internal operations, reporting, document processing, notifications, approvals, and workflow management.
🚀 AI Document Processing & Workflow Automation
AI-powered document extraction, classification, validation, and routing system designed to eliminate manual data entry and processing bottlenecks.
Tools & Technologies:
• OpenAI
• AI Automation
• Workflow Automation
• Java
• Spring Boot
• PostgreSQL
• REST APIs
• CRM Integrations
My goal is to build AI systems that automate repetitive business processes, reduce operational costs, and help teams scale more efficiently.
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Are you managing your hardware prototype stages in one spreadsheet, your Bill of Materials (BOM) in another, compliance certifications in email threads, and software sprints in a separate tool ?
This comprehensive, production-ready Notion workspace brings your entire hardware and software product lifecycle into a single, cohesive source of truth .
Built specifically for hardware founders, IoT startups, and engineering leaders, it eliminates spreadsheets and aligns your team from initial concept to mass production.
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Built a retrieval-augmented generation chatbot for a blockchain/digital ecosystem client whose product documentation was scattered across files, leaving users and internal teams with no fast, reliable way to get answers. The bot pulls strictly from the client's own docs — a Google Drive folder acts as the single source of truth, where any file created or updated is automatically downloaded, chunked, embedded with Cohere, and upserted into a Supabase vector store, so the knowledge base stays current without manual re-indexing.
The chat agent, running on a Groq-hosted LLM for fast responses, is instructed to always query the vector store first, optimizing each user question into a targeted search before answering — and it's explicitly constrained to respond only from retrieved data, admitting when nothing relevant is found rather than guessing.
Postgres-backed chat memory keeps context across a session, so it handles natural follow-ups instead of treating every message as a fresh conversation. The result: a self-updating support assistant that answers accurately and never fabricates product details.
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Developed an end-to-end autonomous agentic workflow designed to eliminate manual resume screening. The system retrieves, parses, and evaluates candidate applications against dynamic Job Descriptions (JDs) using high-fidelity LLMs, achieving an automated decision-making pipeline.
Key Technical Features.
Automated Decision Logic: Implemented autonomous status updates (Selected/Rejected) based on a custom-weighted scoring threshold of 70%.
The Results
90% Reduction in initial screening time.
Eliminated Human Bias by applying consistent evaluation criteria across 100% of the applicant pool.
High Scalability: Designed to process hundreds of resumes autonomously with zero manual intervention.
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