Case study
Case study | Global Pharma
We set up scalable expert video production for healthcare professionals for a global pharma leader.
- 1 500 minutes
- more than 25 hours of edited material
- 63%
- time saved with AI
- 3 months
- shorter delivery versus the original plan
- 50+ videos
- dozens of doctors across more than 10 locations
Client overview
The need for a stronger acquisition system.
An international pharma company needed scalable expert videos for HCPs. Priorities: accurate terminology, stable quality and an efficient process from recording to a closed HCP portal.
Challenge + goals
Challenge
We faced typical post-production issues: low audio quality, manual silence cutting, time-consuming transcription and subtitling, the need for consistent sound and image quality, and a requirement for fast delivery. The client expected a solution that would shorten production time without compromising expert accuracy and could scale to other therapeutic areas.
- Speed expert video production while keeping content accurate.
- Automate recurring tasks: silence cutting and subtitle generation.
- Add quality control verified by a medic.
- Integrate outputs into a new closed portal for healthcare professionals.
- Prepare a scalable workflow for expansion into other therapeutic areas.
Pain points
Where digital communication was hitting limits.
01
Manual work
Manual editing and subtitling took too much time and slowed delivery of final videos.
02
AI and safety
General AI models did not reliably capture expert terminology, causing frequent corrections.
03
Quality
Audio and visual quality were not consistent across the video series.
Solutions and delivery
SEO, PPC and UX in one performance system.
We deployed local AI models adapted to medical terminology as the core of a new production pipeline:
Automated editing
The model identified and removed silent sections and pauses, reducing manual timeline work.
Accurate transcription and subtitles
A domain-tuned model for expert terminology generated subtitle inputs much more accurately than general solutions, so corrections were short and focused.
Quality control
Every video was manually verified by a medical professional, who refined terminology nuances and ensured alignment with internal standards.
Audio and image
We applied AI audio enhancement and consistent color grading so the series felt unified and professional.
Publishing
Finished materials were uploaded in a structured way to a new closed medical portal for healthcare professionals.
Future support
We prepared a plan to actively support the portal through targeted ads and social media.
Growth
Measurable impact across costs, traffic and sign-ups.
- 1 500 minutes
- more than 25 hours of edited material
- 63%
- time saved with AI
- 3 months
- shorter delivery versus the original plan
- 50+ videos
- dozens of doctors across more than 10 locations
Key findings
- Automation reduced manual editing and subtitling work by dozens of minutes per video.
- The domain model improved transcription accuracy for expert terms.
- The pipeline is ready for fast deployment in other therapeutic areas without rebuilding the process from scratch.
Conclusion
The combination of internal know-how and targeted local AI models turned demanding post-production into a fast, controlled process. The client gained reliable, scalable video production with accurate expert terminology, ready for further development and marketing support of the closed HCP portal.
Facing a similar challenge?
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