Harry

AI-Powered Lead Management & CRM Automation

Jul 2026 - Present • 1 mo

I built an end-to-end AI lead management workflow that automates the process of capturing, qualifying, routing, and notifying teams about new leads. I used n8n as the central automation platform and connected it with Groq AI, HubSpot CRM, Discord, and Gmail. The workflow receives new lead information, processes the incoming data, and sends the relevant details to Groq AI. I configured the AI stage with qualification criteria so it could analyze each lead and return a score based on the available information. The workflow then processes the AI result and maps the lead details and qualification data into the appropriate fields in HubSpot CRM. I also configured automated notifications through Discord and Gmail so the relevant team can receive lead updates after processing. Data mapping, conditional logic, API connections, and workflow sequencing were handled inside n8n to ensure that each stage passes the correct information to the next. I also worked on the reliability of the workflow by structuring the sequence so that lead data, AI output, CRM fields, and notification content remained consistent between steps. This required understanding how each platform handles incoming and outgoing data and configuring the integrations accordingly. The project helped me develop stronger experience in designing complete automation pipelines rather than isolated individual automations. Tools: n8n, Groq AI, HubSpot CRM, Discord, Gmail, APIs and webhooks.

AI Airbnb Guest Support & Staff Dispatch

Nov 2024 - Present • 1 yr 9 mos

I developed an automated Airbnb guest support and staff dispatch workflow using Make.com, AI, Telegram, and Google Sheets. The system was designed to manage guest requests from the initial message through issue classification, staff assignment, availability updates, request logging, and guest confirmation. The workflow starts when a guest submits a complaint or service request through Telegram. Make.com captures the incoming message and passes the relevant information to the AI processing stage. I configured the AI to analyze the guest's request and categorize the issue, such as identifying whether it requires Maintenance or Cleaning. After classification, the automation checks staff information stored in Google Sheets and looks for an available worker who can handle the request. Once a worker is selected, the workflow assigns the task and updates the staff availability record to reduce the risk of double-booking. The request and assignment details are also logged in the spreadsheet for tracking and reference. After the request has been processed, an automated Telegram message is sent to the guest confirming that the request has been received and assigned. I handled the workflow logic, data mapping, conditions, staff availability checks, and communication between the connected platforms. This project gave me practical experience with AI classification, conditional routing, data lookup, staff dispatch logic, spreadsheet-based record management, webhook communication, and multi-step automation design. Tools: Make.com, AI, Telegram, Google Sheets and webhooks.