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 relevanceai.com (vendor self-report). Checked against the source page on 2026-09-06. 2 of 4 figures below appear on that page word for word; the rest are marked.
Manual processes were holding back growth and automating complex BDR work was met with skepticism.
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.
“10x increase in output”
Not found on the source page in these words
“generated a further $7 million in pipeline and $500,000 in closed revenue over just six months.”
Quoted word for word from the source
“$500,000 in closed revenue over just six months”
Quoted word for word from the source
“35+ agents deployed across the organization”
Not found on the source page in these words
“an AI BDR that could perform those tasks at human-level quality — researching accounts, writing personalized outreach, and booking meetings [built in under one week]”
Not found on the source page in these words
“The team reclaimed time for higher-value revenue work instead of repetitive ops.”
Not found on the source page in these words
“I was a little skeptical about building an AI outbound BDR. We gave about 40 or 50 tasks to the Relevance team, and they came back a week later with basically an AI BDR that could do tasks at the same level that ours could.”
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