Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Idaho Central Credit Union · Zest AI
Vendor-reportedBanking & financeIn productionEnterpriseClassical ML
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 zest.ai (vendor self-report). Checked against the source page on 2026-09-05. 3 of 3 figures below appear on that page word for word.
The problem
Slow and less precise credit decisioning for loan applications, leading to friction in member experience.
What was deployed
- Vendor
- Zest AI
- Products
- LuLu, AI-Automated Credit Underwriting
- Technique
- Classical ML
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- application data, lending data
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.
increase in approvalsSince implementing
“Since implementing AI-Automated Credit Underwriting, the team has seen a 30%+ increase in approvals in auto loans, personal loans, and credit cards.”
Quoted word for word from the source · round percentage, no baseline given
delinquency ratefrom less than 1%following their engagement with Zest AI
“their already low delinquency rate of less than 1%, dropped an additional 0.3% following their engagement with Zest AI.”
Quoted word for word from the source
75%Automated decisioning on loan applicationsfrom around 50% of loanssince bringing on Zest AI
“Automated decisioning on loan applications has risen from around 50% of loans to 75% since bringing on Zest AI.”
Quoted word for word from the source
“I can tell you that compliance was a major focus when we began this partnership, and we dedicated a lot of time to ensuring that our approach to using Zest AI for underwriting was both responsible and aligned with regulatory expectations.”
Difficulties and limits
- ensuring compliance and regulatory alignment with AI-based products
- addressing varying comfort levels with GenAI among staff
Sources
- zest.ai — vendor self-report, 2026-03-24
Similar deployments
GE Aerospace
Independently reportedManufacturing · Process automation · Classical ML · Scaled
Broadcom · Moveworks
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
Apollo Tyres
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
icare · SAS
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019
Amazon · Amazon
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024