Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
ekkodale GmbH · Requesty
Vendor-reportedProfessional servicesGermanyScaledSmall businessLLM
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 requesty.ai (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
The problem
Juggling multiple AI provider accounts, separate invoices, and no clear picture of customer data residency, leading to compliance burden and lack of optimization.
What was deployed
- Vendor
- Requesty
- Products
- Requesty, hugo
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- API
- Data used
- client data
- Scale
- 600+ Models
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.
600+Models accessed
“600+ Models, zero new contracts”
Quoted word for word from the source
100%GDPR compliance
“100% GDPR-compliant model access”
Quoted word for word from the source
1Invoices for AI spendfrom multiple
“1 invoice All AI spend consolidated”
Quoted word for word from the source
real-time and per-userCost visibility
“Cost visibility is real-time and per-user.”
Quoted word for word from the source
consolidatedAI provider accountsfrom separate
“No separate accounts, no scattered credit balances.”
Quoted word for word from the source
“As a small team running both our own workflows and a customer-facing AI product, we were juggling multiple provider accounts, separate invoices, and no clear picture of where our customer's data was going. The compliance burden alone was a distraction from the actual work.”
Difficulties and limits
- Fragmented billing
- GDPR compliance gaps
- No clean path for hugo customers
- No ability to optimise on value
- Limited model access
Sources
- requesty.ai — vendor self-report
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