Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Talent Inc. (Career.io)
Vendor-reportedProfessional servicesScaledEnterpriseLLM
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 multimodal.dev (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The problem
Manual resume writing was slow and costly, limiting scalability and new revenue streams, while risking quality with automation.
What was deployed
- Products
- AI Agents, Document AI
- Models
- GPT-3.5, GPT-4
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- API
- Data used
- Talent’s data
- Timeline
- 18 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.
45 minutesTime to complete one resumefrom 3.5 hours
“Reduced time to complete one resume (3.5 hours → 45 minutes)”
Quoted word for word from the source
Time saved by writers
“At the same time, Talent’s writers are saving a significant amount of time: roughly 78.57%.”
Quoted word for word from the source
Conversion rates
“Increased conversion rates”
Quoted word for word from the source
Resume quality
“Improved resume quality”
Quoted word for word from the source
Revenue streams
“New Premium Revenue Streams”
Quoted word for word from the source
Scalability of career services
“Scalable Career Services”
Quoted word for word from the source
Competitive differentiation
“Competitive Differentiation”
Quoted word for word from the source
“I could not be happier with where we are right now. It's by far a net positive for us, and I don't see that journey really slowing down.”
Sources
- multimodal.dev — vendor self-report
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