Kajabi Expert | 10+ Years Helping Kajabians Succeed
Kajabi Expert | 10+ Years Helping Kajabians Succeed
Helping founders turn Replit MVPs into secure, scalable SaaS
Helping founders turn Replit MVPs into secure, scalable SaaS
Automation Expert | Vibe Coder | AI Voice Agents| Figma
- 55
- Followers
Automation Expert | Vibe Coder | AI Voice Agents| Figma
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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What if one property listing could generate all your marketing content automatically?
Instagram post.
LinkedIn post.
Email newsletter.
All created from a single workflow.
Here’s what the workflow does:
• Generates Instagram captions for property listings
• Creates LinkedIn posts automatically
• Prepares email newsletters for your listings
• Schedules open house events using Google Calendar
• Logs marketing activity in Google Sheets
It can also pull relevant market data to make the content more credible.
Result:
Save 4–6 hours every week while keeping your marketing consistent.
Explore the template here:
https://lnkd.in/gJb9mQtE
(https://lnkd.in/gJb9mQtE)If you're a real estate developer, agent, or marketing team looking to automate your listing promotions, feel free to DM me. Happy to help you set this up.
#RealEstateMarketing (https://www.linkedin.com/search/results/all/?keywords=%23realestatemarketing&origin=HASH_TAG_FROM_FEED) #ListingAutomation (https://www.linkedin.com/search/results/all/?keywords=%23listingautomation&origin=HASH_TAG_FROM_FEED)
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Luxury real estate deals rarely die. They just go silent.
And for developers, that silence can mean ₹7–20 Crore sitting idle in the pipeline.
After a site visit, many high-net-worth buyers disappear for 30–60 days.
Not because they lost interest.
Because life got busy.
But the opportunity is still there, just waiting to be reactivated.
So I built something to solve this.
An Automated Luxury Prospect Re-Engagement System.
It automatically reconnects with high-value buyers who visited the property but never followed up.
Here’s what the workflow does every morning:
• Identifies luxury prospects inactive for 30–60 days
• Pulls their visit notes, preferences, and budget
• Enriches them with live project updates
• Uses AI to generate a personalized luxury email
• Sends via Gmail automatically
• Logs everything in Google Sheets to avoid duplicate outreach
Instead of generic follow-ups like:
“Hi sir, are you still interested?”
The buyer receives something like:
🏗️ Construction milestone updates
📊 Real inventory scarcity
💰 Pricing changes or payment plans
🎪 Private preview or architecture event invitations
It feels less like automation
and more like a personal update from their relationship manager.
The goal is simple.
Turn silent luxury prospects back into active conversations.
Explore the template here:
https://lnkd.in/gSnedcrS
(https://lnkd.in/gSnedcrS)If you're a luxury estate developer or premium real estate agency and want a system like this customized for your projects.
Send me a DM.
Happy to walk you through the workflow architecture and how it can revive high-value prospects in your pipeline.
#RealEstateAutomation (https://www.linkedin.com/search/results/all/?keywords=%23realestateautomation&origin=HASH_TAG_FROM_FEED) #LuxuryRealEstate (https://www.linkedin.com/search/results/all/?keywords=%23luxuryrealestate&origin=HASH_TAG_FROM_FEED) #LuxuryDevelopere (https://www.linkedin.com/search/results/all/?keywords=%23luxurydevelopere&origin=HASH_TAG_FROM_FEED)
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Stop losing site visits because of slow follow-ups.
Most real estate teams don’t have a booking problem. They have a follow-up problem. Missed reminders, unconfirmed visits, and messy coordination quietly kill deals.
This workflow fixes that.
The moment a prospect books a site visit:
• A confirmation email is sent instantly
• A reminder goes out automatically before the visit
• A follow-up email is triggered after the visit
• The event is added to Google Calendar
• Every booking is logged in Google Sheets for tracking
No manual work. No missed communication. No chasing clients.
The real impact?
More clients show up. Better conversations. Less time wasted on coordination.
👉 Try the workflow here:
https://lnkd.in/gbfYqxMS
(https://lnkd.in/gbfYqxMS)Set it up once and let it run for every future lead.
Need something customized for your business?
DM me your requirements and I will build it for you.
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Helping B2B startups unlock growth with AI & GTM
- $•••••
- Earned
- 5x
- Hired
- 5.0
- Rating
- 21
- Followers
Helping B2B startups unlock growth with AI & GTM
Java Engineer Building AI Automations & Integrations
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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AI Document Intelligence & Invoice Processing Platform
Description
Built an AI-powered document intelligence platform designed to automate invoice processing, document classification, data extraction, and approval workflows.
The system uses AI, OCR, and workflow automation to process business documents automatically, eliminating manual data entry and reducing processing delays across finance and operations teams.
By integrating with existing databases and business systems, the platform transforms unstructured documents into actionable business data.
Key Features
• AI-powered document analysis
• Invoice data extraction
• OCR-based document processing
• Automated approval workflows
• Purchase order matching
• Vendor management integration
• Document classification
• Data validation system
• Real-time processing dashboard
• Automated reporting and audit trails
Business Impact
✓ Reduced manual data entry
✓ Faster invoice processing
✓ Reduced processing errors
✓ Improved financial visibility
✓ Faster approval cycles
✓ Reduced operational costs
✓ Increased productivity across teams
Technology Stack
• Java
• Spring Boot
• PostgreSQL
• OpenAI API
• OCR Processing
• REST APIs
• Workflow Automation
• Analytics Dashboard
Results
• Automated document processing workflows
• Reduced invoice processing time by approximately 75%
• Improved data accuracy
• Reduced manual administrative effort
• Accelerated approval and payment cycles
This solution demonstrates how AI-powered document intelligence can automate finance and operational processes while improving accuracy, compliance, and efficiency.
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AI Business Operations Automation Suite
Built a centralized AI-powered automation platform designed to streamline internal business operations and eliminate repetitive manual work.
The system automates workflows across departments including operations, finance, customer support, reporting, and administration. By integrating AI, APIs, databases, and business tools, the platform significantly reduces operational overhead while improving efficiency and accuracy.
Key Features:
• Automated invoice processing
• AI-powered document analysis
• Internal workflow automation
• Approval and task management system
• Automated report generation
• Email and notification automation
• CRM and database integration
• Real-time analytics dashboard
• Role-based access control
• Custom business process automation
Business Impact:
✓ Reduced manual operational workload
✓ Faster processing of business tasks
✓ Improved team productivity
✓ Reduced human errors
✓ Centralized operational visibility
✓ Scalable automation infrastructure
Technology Stack:
• Java
• Spring Boot
• PostgreSQL
• OpenAI API
• REST APIs
• Workflow Automation
• Dashboard Analytics
This solution demonstrates how AI and automation can transform traditional business operations into efficient, scalable, and data-driven workflows.
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AI Lead Enrichment & CRM Automation Platform
Built an AI-powered lead enrichment and CRM automation platform designed to help sales teams identify high-quality prospects, enrich lead data automatically, and streamline outreach workflows.
The platform combines AI, external data sources, CRM systems, and workflow automation to reduce manual research while improving lead quality and sales efficiency.
Key Features
• Automated lead enrichment
• Company and contact research
• AI-generated personalized outreach emails
• CRM synchronization
• Lead scoring system
• Sales pipeline automation
• Contact validation
• Automated follow-up workflows
• Multi-source data aggregation
• Analytics and performance tracking
Business Impact
✓ Reduced manual lead research
✓ Increased sales team productivity
✓ Improved lead quality
✓ Faster prospect qualification
✓ Higher outreach efficiency
✓ Better CRM data accuracy
✓ Increased pipeline visibility
Technology Stack
• Java
• Spring Boot
• PostgreSQL
• OpenAI API
• REST APIs
• CRM Integrations
• Workflow Automation
• Analytics Dashboard
Results
• Reduced lead research time by approximately 80%
• Automated prospect enrichment process
• Improved CRM data quality
• Increased sales team efficiency
• Faster lead qualification workflows
This solution demonstrates how AI can automate prospect research, improve lead quality, and accelerate sales operations.
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Automation Engineer | n8n, Apollo.io, AI Lead Enrichment
Automation Engineer | n8n, Apollo.io, AI Lead Enrichment
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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HubSpot → Clay → Airtable Enrichment & Interest Tracking Pipeline
Built an automated pipeline that keeps CRM data enriched and interest signals tracked without manual work. New or updated HubSpot contacts are automatically pushed to Clay for enrichment (company size, industry, LinkedIn, job title), then synced into Airtable as a clean, always-current record. A second flow captures Airtable form submissions — when someone expresses interest in a product/service — matches them against the enriched contact, and logs it directly to their record. Unmatched submissions get flagged to the team instantly instead of getting lost.
Fixes: manual re-entry between CRM and enrichment tools, stale contact data, and untracked interest signals from prospects.
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Autonomous Crypto Newsroom: Built a 24/7 automation for a UAE-based crypto newsletter client that monitors 15+ RSS feeds (CoinDesk, Coin-telegraph, The Block, Decrypt, and others), identifies the most relevant breaking stories, generates full SEO-optimized articles with an AI agent, creates a custom photorealistic image per story using a Hugging Face diffusion model, and simultaneously publishes to WordPress, Twitter, and Telegram running unattended every few hours.
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Apollo Lead Enrichment Pipeline: Built a 13-node automation that pulls company and contact data from Apollo, enriches it with website scraping, scores leads using AI (Llama 3.3), and generates personalized outreach - all written back to Google Sheets automatically. Cuts hours of manual prospect research down to minutes.
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Intelligent Automation. Engineered for success!
Intelligent Appointment Scheduling Automation
This AI-powered automation streamlines the end-to-end appointment scheduling process, eliminating manual coordination and reducing the risk of missed updates.
When a client submits an appointment request through a Google Form, the workflow automatically creates a Google Calendar event for the requested date and time, sends an email notification to the Operations Team, and delivers an acknowledgement email to the client.
The automation also intelligently handles appointment changes and cancellations. If the date or time is updated, the existing calendar event is automatically modified and all relevant stakeholders are notified. If an appointment is cancelled, the calendar entry is updated accordingly, with notification emails sent to both the Operations Team and the client.
Key Benefits:
⚡ Automated appointment creation and management
📆 Real-time Google Calendar synchronization
📧 Automated notifications for Operations
🤝 Instant client acknowledgement
🔄 Automatic handling of reschedules and cancellations
✅ Reduced manual effort and scheduling errors
Ready to automate your appointment workflow? Let’s build a smarter, seamless scheduling system for your business. 🚀
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Intelligent Sales Lead Qualification & Follow-Up Workflow
An enterprise-grade AI automation solution that streamlines inbound lead management—from capture and qualification to personalized follow-up, meeting scheduling, and sales-team notification.
Project Overview
The workflow automates the end-to-end sales lead lifecycle using n8n, Groq AI, and Google Workspace. It captures inbound prospects from forms and digital channels, evaluates them against configurable qualification frameworks, assigns priority, and triggers the appropriate engagement strategy without manual intervention.
End-to-End Workflow
Lead Capture → Data Collection → AI Qualification → Data Processing → Lead Routing → Personalized Follow-Up → Meeting Scheduling → Sales Notification → Reporting
Key Challenges Addressed
Manual lead evaluation and administrative overhead
Inconsistent qualification and prioritization
Delayed speed-to-lead and missed opportunities
Duplicate data and fragmented outreach
Generic, template-based follow-ups
Neglected mid-funnel and nurture prospects
Limited visibility into lead-management operations
Intelligent Lead Routing
The AI agent analyzes factors such as company profile, budget, implementation timeline, product interest, and project scope, then categorizes prospects into three priority tiers:
HOT LEADS
Generates a tailored proposal PDF in Google Docs/Drive, sends a priority Gmail follow-up with a Google Calendar booking link, and alerts the sales team via Google Chat.
WARM LEADS
Sends a personalized discovery email and enrolls the prospect in an automated 14-day follow-up sequence.
COLD LEADS
Stores and archives the lead in Google Sheets for periodic re-evaluation.
Business Impact
The solution reduces administrative effort, accelerates response times, standardizes qualification, and ensures every inbound prospect receives an appropriate and timely engagement—helping sales teams focus more on high-value conversations and conversions.
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Automation Consultant — n8n & Make.com | Lead Intake Systems
New to Contra
Automation Consultant — n8n & Make.com | Lead Intake Systems
Agency Onboarding Automation — From Contract to Project Launch Without Manual Setup
Built a client onboarding machine for a digital agency that eliminates 2+ hours of manual admin every time a new client signs.
THE PROBLEM:
New client signs the contract → account manager manually creates a Slack channel, Google Drive folder, Asana project, and sends a welcome email 2 days later. Clients felt ignored. Projects started slow. Project managers wasted hours on setup instead of strategy.
THE SYSTEM I BUILT:
→ TRIGGER: PandaDoc/HelloSign contract signature instantly fires webhook
→ QUALIFY: Parse contract value, service type (SEO, PPC, Web Design), and team size to determine onboarding tier (Standard vs. Premium)
→ CREATE: Auto-generate Slack channel with client + internal team, Google Drive folder structure with template documents, and Asana project from pre-built template with all milestones
→ ASSIGN: Push client data to HubSpot CRM, notify finance team in Slack, and assign project manager based on current workload and expertise match
→ WELCOME: Client receives personalized welcome email with project timeline, team contacts, kickoff meeting link, and onboarding checklist within 10 minutes of signing
→ SYNC: All project data synced to agency dashboard for leadership visibility
THE RESULTS:
• Onboarding initiation: 48 hours → 10 minutes
• Admin time per new client: 2 hours → 5 minutes
• Client satisfaction score (onboarding phase): +40%
• Project setup consistency: 100% across all teams
TECH STACK:
Make.com (http://Make.com) | PandaDoc | Slack | Google Drive | Asana | HubSpot | Google Workspace
WHY THIS WORKS:
First impressions are everything. This system makes clients feel like they're working with a machine-precision agency from minute one — because they are.
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AI-Powered Lead Qualification System — Zero Manual Data Entry
Built an end-to-end lead capture and qualification system for a B2B service business using Make.com (http://Make.com), OpenAI GPT-4, and HubSpot.
THE PROBLEM:
The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors.
THE SYSTEM I BUILT:
→ CAPTURE: Typeform webhook triggers automation the instant a form is submitted
→ QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority
→ ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically
→ ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context
→ NURTURE: Cold leads enter a 7-day email sequence before sales touches them
→ SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility
THE RESULTS:
• Lead-to-CRM time: 4 hours → 90 seconds
• Sales rep prep time per lead: 15 minutes → 30 seconds
• Data loss rate: 0%
• Sync accuracy: 99.7%
TECH STACK:
Make.com (http://Make.com) | OpenAI GPT-4 | HubSpot | Apollo.io (http://Apollo.io) | Slack | Google Sheets | Typeform
WHY THIS WORKS:
Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.
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Real Estate Auto-Response System — Capture Every Inquiry in 60 Seconds
Designed a 24/7 inquiry response engine for a real estate agency handling 50+ daily leads across property portals, Facebook, and WhatsApp.
THE PROBLEM:
Agents were responding to inquiries 4-6 hours later. By then, prospects had already contacted 3 competitors and scheduled viewings elsewhere. The agency was bleeding money on ad spend but losing deals to response speed.
THE SYSTEM I BUILT:
→ CAPTURE: All form submissions and WhatsApp messages hit a unified n8n webhook
→ QUALIFY: Parse budget range, location preference, and property type from natural language inquiry text using regex + AI classification
→ MATCH: Query Airtable inventory database and return top 3 matching listings based on budget, location, and availability
→ RESPOND: Send personalized WhatsApp auto-reply with listing photos, prices, and agent contact within 60 seconds — 24/7, even at 2 AM
→ LOG: Every conversation automatically logged to Airtable CRM with full context
→ FOLLOW-UP: Create follow-up task with reminder for agent if no response within 24 hours
→ ALERT: Agent gets mobile Slack notification with full inquiry context, suggested response, and client LinkedIn profile
THE RESULTS:
• First response time: 4 hours → under 60 seconds
• Inquiries lost to delay: 0
• Agent conversations handled per day: 3x increase
• Listing view-to-meeting conversion: +35%
TECH STACK:
n8n | Airtable | WhatsApp Business API | Google Forms | Slack
WHY THIS WORKS:
In real estate, speed wins. This system ensures every inquiry gets a personalized, instant response with matching listings — while the prospect is still interested.
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E-Commerce Auto-Fulfilment System — From Order to Label Without Touching a Spreadsheet
Built a fully automated order-to-fulfillment pipeline for a D2C brand selling across Shopify, Amazon, and their own store.
THE PROBLEM:
The operations team manually copied orders into spreadsheets, checked inventory against 3 separate sources, created shipping labels one by one, and updated tracking numbers by hand. 3 hours of daily grunt work. 8% error rate. Delayed shipments. Angry customers asking "where is my order?"
THE SYSTEM I BUILT:
→ CAPTURE: Shopify order webhook fires instantly on every purchase. Amazon SP-API pulls orders every 15 minutes into the same pipeline.
→ VALIDATE: Auto-check inventory in Google Sheets. Flag low-stock SKUs for reorder. Route expedited orders to priority queue.
→ PROCESS: Generate shipping label PDF automatically via Shiprocket API. Create invoice in Zoho Books. Update inventory count across all channels in real-time.
→ SYNC: Push order status, tracking number, revenue data, and shipping cost to master Google Sheets dashboard for ops visibility.
→ NOTIFY: Customer receives automated email/SMS with tracking link within 5 minutes of order confirmation.
→ ALERT: Operations manager gets daily summary + instant alert on failed orders with retry logic and error context.
THE RESULTS:
• Manual processing time: 3 hours/day → fully autonomous
• Order processing errors: 8% → 0.2%
• "Where is my order?" support tickets: -60%
• Scales to 10,000+ orders/month without adding staff
TECH STACK:
Make.com (http://Make.com) | Shopify | Amazon SP-API | Google Sheets | Shiprocket | Zoho Books | Twilio | PDF Generator
WHY THIS WORKS:
E-commerce margins are thin. Every minute of manual processing and every fulfillment error eats profit. This system runs 24/7 without breaks, mistakes, or overtime pay.
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