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 axccelerate.com (vendor self-report). Checked against the source page on 2026-09-06. 8 of 8 figures below appear on that page word for word.
Park Origin was leaking sales-rep capacity on low-intent enquiries, with the sales team spending roughly half their call time on buyers who were never going to close.
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.
“184% more qualified leads”
Quoted word for word from the source
“47% Lower CPL”
Quoted word for word from the source
“2.3× Conversion rate”
Quoted word for word from the source
“500+ Enquiries · 6 months”
Quoted word for word from the source
“156% website traffic”
Quoted word for word from the source
“45+ keywords first-page”
Quoted word for word from the source
“215% social reach”
Quoted word for word from the source · round percentage, no baseline given
“4:20 avg time on site”
Quoted word for word from the source
ROI as stated: The numbers that earned the next contract.
“Axccelerate's integrated approach significantly improved our lead quality — reaching qualified buyers both locally and internationally.”
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