Use Case – Project Proposals Generation from Transcripts
This self-initiated project examines how an AI-powered automation extracts information from meeting transcripts and populates a proposal template.
Manual time
30–60 min
Automated time
< 1 min
Time saved
97–99%
Problem / challenge
Different methods are used to capture information during client meetings — note-taking, filling out forms in real time, or reviewing transcripts after the call. Each method takes time and often requires additional effort to organize, reword, or reformat what was said into a usable project brief or proposal.
This project documents the creation of an automation that simplifies that process. The goal was to extract core project details from a meeting transcript and populate them into a custom-designed proposal template without manual input.
Outcome
- Slides are auto-created using real client language
- Manual rewording and copying is reduced
- Works with a branded proposal template
- Consistency improves through a repeatable structure
- Time to create proposals is significantly reduced
Watch in action
Approach
- 1Trigger: Watch a Drive folder for new transcripts and validate file type.
- 2Download & parse: Fetch file from Drive and extract clean text.
- 3Information extraction: GPT agent pulls fields like business name, objectives, quotes, deliverables.
- 4Proposal generation: Copy a Slides template and replace placeholders with extracted fields.
- 5Optional expansion: Pull pricing, scope, timeline from Sheets or Airtable by project type.
Tools and apps




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