13 weeks to 7 days: how Mayo Clinic built three medical videos without an agency
Mayo Clinic's medical animators put VarsaAI Studio to the test: produce MOA videos in-house, with no agency, and prove speed and savings without giving up accuracy or quality. They delivered three videos in 7 days for $3,400 of team time — work that normally takes 13 weeks and $68,000 per video.
Results at a glance
| 7 days | to complete 3 videos, vs a 13-week average |
| 3 hours | from brief to review-ready MOA video |
| 17 hours | of total team time across all 3 videos |
| $200,000 | saved: $3,400 of team time vs $68,000 per video |
| 85%+ | of AI-generated claims accurate on first output |
| 2 days | of manual source referencing eliminated |
Customer: Mayo Clinic · Team: Medical animation · Use case: MOA and scientific video, presentations, PDF infographics · Product: VarsaAI Studio
The challenge: AI was mandated. Trusting its output wasn't.
Mayo Clinic has mandated AI across the organisation for two reasons: to bring data to market faster, and to cut cost wherever possible.
Scientific video was a prime target. A single MOA video took an average of 13 weeks through existing workflows and cost around $68,000. Every new data readout meant another long, expensive cycle.
But general-purpose AI created a new problem. Its output couldn't be trusted without being checked line by line. For a team whose work has to be scientifically exact, verifying AI content sometimes created more work, not less.
Mayo needed to know whether AI could deliver speed and savings and hold up to scientific scrutiny.
The trial: no agency, no safety net
Mayo's medical animators ran a stress test of VarsaAI Studio across formats. The brief was simple: produce three medical videos, two of them MOAs, entirely in-house.
No agency. No outside production support. Just the team, a brief, and VarsaAI.
The team judged the results on four things:
- Speed — how fast they could get from brief to review-ready video
- Cost — how much team time each video consumed
- Accuracy — how many AI-generated claims held up against primary sources
- Quality — whether the output met Mayo's standard for scientific video
The results
Speed: 13 weeks became 7 days
The team finished all three videos within 7 days. Their existing workflow averages 13 weeks for a single video. A review-ready MOA video took as little as 3 hours from brief.
Cost: $204,000 of production for $3,400 of time
Across all three videos, the team spent 17 hours in total. They valued that time at $3,400.
| Existing workflow | With VarsaAI | |
|---|---|---|
| Time per video | 13 weeks (average) | 3 videos in 7 days |
| Team time, all 3 videos | — | 17 hours |
| Cost, 3 videos | $204,000 | $3,400 |
| Saving | $200,000+ |
Accuracy: 85%+ of claims right first time
VarsaAI verifies each claim against primary sources as it's generated. Mayo's team reported that more than 85% of claims in the AI output were accurate. Sentence-level source referencing saved an estimated two full working days of manual referencing.
Ease of use: animators running the whole workflow
The team found Studio easy to use. They singled out the prompting system and how simple it was to edit content once the AI had generated it.
Some outputs took several re-prompts to reach the result the team wanted. That iteration made up about 5–7% of total time spent — and the 17-hour total includes it.
Beyond the brief
The trial asked for three videos. The team kept going.
On their own initiative, they used VarsaAI to build 6 PowerPoint presentations and 3 PDF infographics — and reported impressive outcomes across every format.
In their words
"We've mandated AI at Mayo Clinic to bring data to market faster and, where possible, reduce cost. The biggest challenge we had was verifying the output of AI, which in some cases caused more work for our team, not less. We wanted to stress test this across different formats with VarsaAI, and the speed and accuracy of the output stood out to us the most during this phase. We are now evaluating how we adopt the solution within our work stream."
— Sarange Shah, IT Enablement Lead, Mayo Clinic
What's next
Mayo Clinic is now evaluating how to adopt VarsaAI across its workstream.
Run the same test on your team
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