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 cgi.com (vendor self-report). Checked against the source page on 2026-09-06. 2 of 4 figures below appear on that page word for word; the rest are marked.
Cifas wanted to understand how AI could reduce manual workload and empower staff to focus on higher-value tasks.
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.
“A 56% average productivity increase”
Quoted word for word from the source
“Time savings ranging from 3 minutes to 3 hours per task”
Quoted word for word from the source
“78% adoption rate, based on daily or frequent weekly use”
Not found on the source page in these words
“55% of participants identified as “Power Users”, using Copilot across multiple Microsoft apps”
Not found on the source page in these words · round percentage, no baseline given
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