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 oodle.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.
After 8 years with a leading observability platform, Lookout found themselves trapped in a cycle of rising costs and vendor lock-in.
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.
“5x cost reduction: Dramatic savings after eliminating [their previous vendor's] bloated contract.”
Quoted word for word from the source
“We achieved full migration in six weeks at our size.”
Quoted word for word from the source
“300+ dashboards and 2,000 alerts preserved: Complete continuity with no lost configurations.”
Quoted word for word from the source
“300+ dashboards and 2,000 alerts preserved: Complete continuity with no lost configurations.”
Quoted word for word from the source
“Hours saved with AI Assistant: Engineers build and modify dashboards and alerts in plain English instead of queries.”
Quoted word for word from the source
“We achieved full migration in six weeks at our size. I'm thrilled by how much we could accomplish in such a short time.”
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