Automated Job Candidate Screening for Driving Roles

This n8n workflow streamlines the process of screening job candidates for driving positions under a government contract. It captures transcripts from phone calls and evaluates candidate qualifications using AI models, then formats and stores the results automatically.

The workflow begins with a webhook trigger receiving transcript data from a phone system. It then sets specific fields, such as the candidate’s transcript, before passing data to OpenAI’s GPT-4 model via LangChain for initial processing. The transcript is analyzed to determine if the candidate qualifies based on predefined criteria, such as valid driver’s license, criminal background, drug test capability, and availability.

Results are parsed into a structured JSON format that includes name, location, qualification status, and reasoning. This structured data is then saved into a Google Sheet for recordkeeping and further review.

This workflow is highly practical for HR teams or recruiting agencies automating background and qualification checks for driving-related roles, ensuring consistency, efficiency, and accuracy in candidate evaluation.