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 letspocket.com (vendor self-report). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.
Maintaining a high standard of insurance verification while scaling clinical capacity became increasingly demanding and difficult to scale without increasing headcount.
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.
“Since partnering with Pocket, Elliott PT has grown from 10,000 to nearly 13,000 patient visits per month”
Quoted word for word from the source
“a 30% increase”
Quoted word for word from the source · round percentage, no baseline given
“while keeping its verification team the same size”
Quoted word for word from the source · round percentage, no baseline given
“30 additional therapists joined the practice”
Quoted word for word from the source
ROI as stated: When you measure the cost of Pocket against the cost of hiring and training another person, it's definitely cost effective.
“The appeal of Pocket is that our patients are getting the same experience and the same visual contract they would have gotten whether I do the verification myself or Pocket does it.”
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