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
Independently reported. An independent or peer-reviewed source reports this result, alongside the vendor.
Reported by enterpriseai.economictimes.indiatimes.com (independent reporting). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.
Production issues requiring root cause analysis (RCA) took an average of two hours when done manually.
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.
“in under 10 minutes compared to average two hours spent earlier when done manually.”
Quoted word for word from the source
“This single leap has translated into an 88 per cent reduction in manual effort”
Quoted word for word from the source
“an estimated ₹1.5 crore in annual savings across Apollo’s Passenger Car Radial (PCR) division”
Quoted word for word from the source
“cutting average handling time from six to three minutes.”
Quoted word for word from the source
“We’re not just adopting AI for its own sake; it’s about creating intelligent factories and processes that enable real-time, data-driven decisions across our global operations.”
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
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019
under five minutes — Time to complete textual forecast generation
Independently reportedPublic sector · Process automation · LLM · Pilot