Real AI Use Cases tool

Whisper use cases

Browse real people using Whisper inside practical AI use cases. Each use case includes tools used, source links, public workflow previews, outcomes, and related examples.

4 use cases

Real use cases using Whisper

Included Health clinical team headshot
Business OperationsKnowledge Management+1

Included Health clinical team

Clinical team using an internal ambient scribe workflow at Included Health

Telehealth ambient scribe workflow where visit audio is transcribed with Whisper and processed with GPT-4o into SOAP notes and patient instructions for clinician review.

Outcome: The paper reports adoption by 540+ clinicians, reduced self-reported cognitive load and documentation burden among survey respondents, and a production workflow where clinicians still review and edit the AI-generated documentation.

WhisperChatGPTOpenAI Audio APIOpenAI Chat Completion API+4
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Jed Finn headshot
Business OperationsCompany AI Adoption+1

Jed Finn

Head of Wealth Management at Morgan Stanley Wealth Management

Advisor meeting debrief workflow where AI listens to advisor/client conversations, summarizes key points and next steps, drafts follow-up emails, and pushes approved updates into CRM.

Outcome: The workflow reduces post-meeting administrative work while keeping the financial advisor in control of client-facing communication and records.

AI @ Morgan Stanley DebriefOpenAIChatGPTWhisper+2
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Tim McAleer, Florentine Films headshot
Creative MediaResearch & Analysis

Tim McAleer, Florentine Films

Producer / post-production technologist at Florentine Films

Built AI workflows for documentary post-production at Florentine Films: a searchable media database for archival assets, an iOS field-research app for physical archives, and a Mac OCR tool for difficult historical documents.

Outcome: Turns tedious archival logging into structured, searchable research material. Images, video, audio, physical archive photos, and hard-to-read documents become easier to describe, tag, search, and reuse in documentary storytelling.

ChatGPTClaudeCursorPython+4
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Ryan Nystrom, Notion headshot
Coding & EngineeringBusiness Operations

Ryan Nystrom, Notion

Engineering leader at Notion

Uses Notion AI, Codex, GitHub, Slack, Honeycomb, and Whisper to make engineering work more structured: preparing standups, turning specs/comments into PRs, and giving engineers better context before they start building.

Outcome: Shows how AI can improve engineering velocity without skipping the parts that make software teams work well: shared context, written specs, reviewable changes, observability, and human judgment.

Notion AICodexGitHubSlack+2
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