AI-Powered Degree Audit System with Google Sheets and GPT-5
VerifiedAutomates AI degree audits by analyzing student records in Google Sheets.
What this workflow does
This automation reads student data from Google Sheets and leverages AI to evaluate course completion against degree requirements for multiple programs, generating summaries of remaining requirements.
It is designed for academic advisors and registrars to streamline degree audits and prototype student information systems.
Who is this for?
Academic advisors, registrars, and university admin teams managing senior student records and degree progress.
What problem it solves
Manual degree audits are slow and prone to oversight when checking completed courses against program requirements for many students.
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What it automates
End-of-term batch review
Process an entire senior cohort from Google Sheets to flag missing major core and Gen Ed credits before graduation deadlines.
Advisor one-on-one prep
Run the workflow on selected student rows to generate quick AI summaries for meetings with students nearing completion.
SIS prototype testing
Feed sample data through the audit to validate output formats before building a full student information system integration.
How the workflow works
The 4 nodes in this automation, in order.
- 1Google SheetsgoogleSheets
- 2AI Agent@n8n/n8n-nodes-langchain.agent
- 3OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
- 4Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
Apps & integrations used
How to set up AI-Powered Degree Audit System with Google Sheets and GPT-5
- 1Add your Google Sheets node and connect the sheet containing student rows and completed courses.
- 2Configure the OpenAI Chat Model node with your API key and the provided degree-requirement prompts.
- 3Attach the AI Agent node to orchestrate evaluation per student row.
- 4Add the optional Structured Output Parser to format the AI Degree Summary cleanly.
- 5Set the final Google Sheets node to write the summary columns back to the source sheet.
- 6Click Execute Workflow to run the manual trigger on your data.
How to customize this workflow
- →Swap OpenAI Chat Model for another supported LLM provider node.
- →Change trigger from manual to a Schedule or Webhook node for recurring runs.
- →Add a filter node to process only students with a specific major or credit threshold.
- →Extend the Structured Output Parser schema to include additional fields like GPA warnings.
AI-Powered Degree Audit System with Google Sheets and GPT-5: pros & cons
Pros
- +Handles multiple degree programs out of the box
- +Writes structured summaries directly back to Sheets for easy review
- +Beginner-friendly manual trigger with clear node flow
- +Uses AI to catch nuanced missing requirements
Cons
- –Requires manual execution each time
- –Hard-coded requirements need updates when catalogs change
- –Depends on accurate course data in the source sheet
Frequently asked questions
It reads senior student data from Google Sheets, uses AI to compare completed courses against listed program requirements, and writes back a summary of missing credits.
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