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 sailpoint.com (vendor self-report). Checked against the source page on 2026-09-05. 2 of 2 figures below appear on that page word for word.
RWE needed to consolidate and automate its identity security program to enhance efficiency and employee experience in a complex, heterogenous business environment.
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.
“This would mean scaling from about 2,500 users up to about 25,000 to 30,000 users”
Quoted word for word from the source
“RWE reduced onboarding time from up to 25 days to less than three hours.”
Quoted word for word from the source
“While IdentityIQ is able to scale, it was quicker and cheaper for us to use a SaaS solution. We are now servicing ten times as many people as before, and building new processes and use cases, with production, staging and development environments”
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
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