Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Cox Communications · Synthesia
Vendor-reportedTelecomUnited StatesScaledEnterpriseGenerative media
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by synthesia.io (vendor self-report). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.
The problem
Keeping 16,500 employees informed and trained was logistically demanding. Traditional video production was slow and fragile, making it difficult to create a timely Responsible AI training series.
What was deployed
- Vendor
- Synthesia
- Products
- Synthesia
- Technique
- Generative media
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- Training scripts (Responsible AI training series and annual compliance training scripts)
- Scale
- 16,500 employees
- Timeline
- 2 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
a dayproduction speedfrom weeks to produce
“95% reduction in speed to market — content that previously took weeks to produce can now be turned around in a day”
Quoted word for word from the source
16,500employees trained
“16,500 employees reached through company-wide training”
Quoted word for word from the source
3languages supported for training
“3 languages — annual compliance training translated into English, French, and Spanish”
Quoted word for word from the source
only 2 words needed updating per 30-min lessonTranslation accuracy (compliance training)
“The accuracy was striking: across a 30-minute translated lesson, only two words needed updating.”
Quoted word for word from the source
eliminatedvoiceover costs
“Voiceover costs eliminated”
Quoted word for word from the source
“Using AI to talk about AI was brilliant, because people go: 'wow, this is an AI course and it's AI talking to you.' It elevated the impact.”
Difficulties and limits
- Keeping workforce informed and trained is logistically demanding
- Traditional video production is slow
- Script review cycles, recording sessions, retakes, manual video cuts, slide exports, and green screen work consumed hours
- Fragility: when a field name changed, every affected video had to be re-recorded from scratch
- Tight timeline for a full training series on responsible AI
- Content was new and stakes were high
Sources
- synthesia.io — vendor self-report
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