A HealthTech company building telemedicine, patient engagement, and integrated care management platforms had a deep library of webinars and video content going unused. We built a single AI platform that transcribes that content, extracts lead-specific insights, and generates personalized email sequences automatically, replacing a manual process that left leads uncontacted for hours at a time.
Talk to UsA HealthTech company building telemedicine, patient engagement, and integrated care management platforms for providers, payers, and patients
End-to-end AI pipeline: automated transcription, insight extraction, and personalized 3-part drip email generation
Python, Streamlit, OpenAI Whisper, Gemini LLM, YouTube Transcripts API
Delivered
Automating the pipeline from video to email cut manual work and moved the numbers that matter for lead engagement. The same pipeline also lifted response rates 20% across drip campaign sequences.
Reduction in time spent on manual email creation
Reduction in time spent on content transcription
Increase in email open rates from AI-personalized campaigns
Increase in lead conversion rates
The bottleneck was not visibility into content value. It was execution speed and quality.
Every hour spent transcribing a webinar or hand-writing a follow-up email was an hour a lead sat uncontacted.
Even when AI was used for insight generation, the output was often too generic to address a specific lead's pain points, requiring heavy manual rework before an email was usable.
A Streamlit-based internal tool built on OpenAI Whisper, Gemini LLM, and the YouTube Transcripts API.
The platform covers the full path from raw video to a ready-to-send campaign, run entirely inside a single Streamlit tool so the marketing and sales team never switches systems.
Video, audio, and webinar content is transcribed automatically through OpenAI Whisper and the YouTube Transcripts API, removing manual transcription work entirely. Gemini LLM then extracts insights tuned to surface healthcare-specific pain points rather than generic summaries, so the output speaks to what a lead actually cares about.
Extracted insights feed directly into a personalized 3-part drip email sequence for each lead, replacing the manual write-up that previously followed every transcription.
Dynamic prompt refinement lets the marketing and sales team fine-tune AI output in real time as campaign strategy evolves, without waiting on engineering to change the pipeline.
Sitting on a library of webinars, calls, or video content you're not turning into lead engagement? Talk to us about what an AI-driven transcription-to-email pipeline looks like for your team.
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