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 spot.ai (vendor self-report). Checked against the source page on 2026-09-06. 4 of 4 figures below appear on that page word for word.
Theft of high-value vehicles, time-consuming manual search for historical video footage, and inefficiencies in service center operations.
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.
“Spot AI has saved well over $1M in assets and substantial time for the HR, IT, and Operations.”
Quoted word for word from the source
“They’ve seen a 60% increase in camera utilization across all departments”
Quoted word for word from the source · round percentage, no baseline given
“This saves Don Franklin's HR department saves between 10 and 15 hours per week on average.”
Quoted word for word from the source
“saved the IT department five hours a week on system management alone.”
Quoted word for word from the source
ROI as stated: saved well over $1M in assets and substantial time for the HR, IT, and Operations
“Within four minutes of the alarm going off, I was able to have the video footage of the incident on the responding officers' cell phones. We had five recoveries within the hour. It is that easy, really.”
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