Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Artificial intelligence, professionally covered
Process automation
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 nextgenadvisors.co (vendor self-report). Checked against the source page on 2026-09-06. 1 of 2 figures below appear on that page word for word; the rest are marked.
Inbound deal flow had grown faster than analyst capacity, leading to only ~40% of opportunities being screened and inconsistent first-pass models.
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.
“3 hrs First-pass cycle (from 3 days)”
Quoted word for word from the source
“started screening every inbound deal instead of only the ones an analyst could get to / Of inbound deals screened (from ~40%)”
Not found on the source page in these words
“We didn't want to outsource judgment. We wanted to stop wasting our own on busywork. After 11 weeks the analysts spend their day on the deals that matter, not on the first 30 we used to ignore.”
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Independently reportedManufacturing · Process automation · Classical ML · Scaled
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024