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. 4 of 5 figures below appear on that page word for word; the rest are marked.
Every technical enquiry landed in the same inbox, to be manually triaged by a dispatcher reading every message in a mixed stream of English, Italian and Croatian. Emergencies queued behind standard service requests. Response times drifted.
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.
“165% Qualified enquiries”
Not found on the source page in these words · round percentage, no baseline given
“43% Faster response time”
Quoted word for word from the source
“98% SLA adherence”
Quoted word for word from the source
“94% first-pass classification”
Quoted word for word from the source
“dead time per job fell ~35%”
Quoted word for word from the source · round percentage, no baseline given
“Axccelerate revolutionised our lead-management process, helping us handle enquiries across multiple countries and sectors. Their integrated digital approach significantly improved our response time and client satisfaction.”
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