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 enterpriseai.economictimes.indiatimes.com (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
To transform digital from a support function into a central growth engine by making data, automation, and AI first-class enablers across various functions, enhancing patient outcomes, driving operational excellence, and building a future-ready workforce.
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.
“Lupin’s digital and AI interventions delivered ₹40 crore in cost savings”
Quoted word for word from the source
“reclaimed 12,000 man-days in FY25”
Quoted word for word from the source
“improving manufacturing margins by over 10 per cent in two years”
Quoted word for word from the source · round percentage, no baseline given
ROI as stated: The ROI and scalability were so clear that the programme was quickly rolled out across other product lines.
“Our outlook is to transform digital from a support function into a central growth engine by making data, automation, and AI first-class enablers across various functions.”
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
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
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