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 notablehealth.com (vendor self-report). Checked against the source page on 2026-09-06. 6 of 6 figures below appear on that page word for word.
Low completion rates (10%) for social determinants of health (SDOH) and depression screenings, requiring significant manual staff effort.
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.
“Sturdy Health has sent over 31,000 pre-visit questionnaires”
Quoted word for word from the source
“screening 75% of its primary care population for these essential care factors.”
Quoted word for word from the source
“Sturdy has seen its questionnaire completion rates skyrocket from approximately 10% before automation to 55-60% with automation.”
Quoted word for word from the source
“Positivity rates on those screenings have increased from under 2% to a stable 5%.”
Quoted word for word from the source
“Sturdy has gained 4 FTEs of staff capacity”
Quoted word for word from the source
“saved over 5,100 staff hours.”
Quoted word for word from the source
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