Business Workflow Automation Projects in BengaluruBusiness Workflow Automation Projects in Bengaluru
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Cover image for Imagine knowing which buyer is
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: ā€¢ The lead details are captured automatically ā€¢ AI analyzes the responses and classifies the lead based on buying timeline ā€¢ šŸ”„ Hot Lead ā€” Buying immediately ā€¢ šŸŸ  Warm Lead ā€” Planning within 1ā€“3 months ā€¢ šŸ”µ Cold Lead ā€” Planning within 4ā€“6 months The system then: ā€¢ Saves the lead and score into Google Sheets ā€¢ 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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Cover image for Built a retrieval-augmented generation chatbot
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 ā€” 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 ā€” 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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Cover image for Built a collection of AI-powered
Built a collection of AI-powered business automation systems focused on solving real operational problems. Projects included: šŸš€ 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. šŸš€ AI Lead Enrichment & CRM Automation Automated lead qualification, enrichment, CRM synchronization, and outreach workflows to improve sales efficiency and conversion rates. šŸš€ AI Business Operations Automation Suite Centralized automation platform for internal operations, reporting, document processing, notifications, approvals, and workflow management. šŸš€ 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: ā€¢ OpenAI ā€¢ AI Automation ā€¢ Workflow Automation ā€¢ Java ā€¢ Spring Boot ā€¢ PostgreSQL ā€¢ REST APIs ā€¢ 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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Cover image for Most sales teams don't struggle
Most sales teams don't struggle because of a lack of leads. They struggle because finding, qualifying, researching, and reaching out to prospects is still largely manual. HunterOS is an AI-powered sales prospecting and outreach platform designed to automate the top of the sales funnel. It continuously identifies potential customers, gathers relevant business intelligence, qualifies opportunities, and prepares personalized outreach at scale. Instead of spending hours searching for prospects, sales teams receive a pipeline of high-potential opportunities ready for engagement. The result: āœ“ Faster prospect discovery āœ“ Reduced manual research āœ“ Higher sales productivity āœ“ Consistent pipeline generation āœ“ More time spent closing deals HunterOS transforms prospecting from a repetitive task into an intelligent, automated process. #SalesAutomation #LeadGeneration #AIAutomation #BusinessGrowth #SalesOps #HunterOS
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