Projects using Make in BengaluruProjects using Make in BengaluruAgency 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. AB Events – AI Calling Agent Demo
This project showcases an AI Calling Agent developed for an event management business to automate customer interactions and streamline event inquiries. The agent is designed to answer questions about event services, collect customer details, qualify leads, provide pricing information, and assist with booking requests through natural, human-like voice conversations.
Key features include real-time voice interaction, lead qualification, appointment scheduling, FAQ handling, multilingual support, and seamless integration with CRM and automation workflows. The solution is available 24/7, ensuring every customer inquiry is answered instantly while reducing manual workload and improving response times.
Technologies Used: AI Voice Agents, Vapi AI, ElevenLabs, OpenAI, Workflow Automation, API Integrations, CRM Integration.
This demo highlights how businesses can leverage AI voice technology to increase efficiency, improve customer experience, and capture more leads without expanding their support team.
"now make image for this" 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. AITechEnt Calling Demo
This project demonstrates an AI-powered Calling Agent built for AITechEnt to showcase how businesses can automate customer conversations with human-like voice AI. The agent is capable of handling inbound and outbound calls, answering customer queries, qualifying leads, collecting essential information, and scheduling appointments without human intervention.
Designed with natural conversational flows and low-latency voice responses, the solution delivers a seamless customer experience while operating 24/7. It can integrate with CRMs, calendars, APIs, and automation platforms to streamline business workflows and reduce operational costs. AITechEnt focuses on building AI Chat Agents, AI Voice Agents, AI Voice Calling Agents, and workflow automation solutions tailored for businesses.
Technologies Used: OpenAI, Vapi AI, ElevenLabs, Twilio, Make.com (http://Make.com), n8n, API Integrations, CRM Integration, Workflow Automation.
This demo highlights how modern AI voice technology can improve customer engagement, increase lead conversion, and automate repetitive communication at scale. 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. 
