This automation processes job applications submitted via Google Forms. It uses AI to extract and evaluate candidate information, score applicants based on suitability, and optionally routes top candidates through a human approval flow.
Built with Make.com, this workflow simulates a real-world HR automation pipeline using AI, conditional logic, and structured Google integrations.
- Listens for new Google Form submissions
- Captures form responses including CV file links and basic applicant info
- Fetches the applicant's CV (if linked) from Drive
- Uses LLM (OpenAI or Gemini) to extract:
- Full Name
- Phone
- Skills
- Qualifications
- Experience
- AI model also scores the applicant for role-fit based on predefined criteria
- Logs structured results and AI score to Google Sheets
- Filters applicants with high scores (e.g.7)
- Sends approval request via email or Telegram
- Waits for response (Approve/Reject) via webhook
- Logs approval decision in Sheets
- Make.com workflow builder
- Google Forms + Sheets + Drive
- OpenAI / Gemini AI API
- Webhooks for HITL response handling
Applicant Intelligent Parser.blueprint.json– Make.com main scenario fileApplicant Intelligent Parser Telegram Request Webhook.blueprint.json– Make.com webhook scenario file
⚡ To use: Import into Make.com, connect your services, and customize your scoring prompts or filters as needed.
Automate the evaluation and shortlisting of applicants for any hiring process, reducing bias, increasing speed, and enabling structured decision-making.
- Go to all the Google modules (Google Drive, Google Sheets & Google Forms) and add a connection.
- Go to the Google Gemini modules (CV Parser & Applicant Scorer) and add your API key.
- Go to the Telegram module and add:
- Your Bot Token
- Your Chat ID (You can get it by sending a message to @RawDataBot on Telegram)
This blueprint uses a Google Form. Click below to make a copy:
👉 Use the Google Form Template
After copying, you can customize the form and connect it to your Make scenario as needed.