Perk · AutoRFP.ai
more than double — RFPs responded to
Vendor-reportedTechnology & software · Sales & marketing · LLM · In production
Artificial intelligence, professionally covered
Sales & marketing
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 aixh.ai (vendor self-report). Checked against the source page on 2026-09-06. 4 of 4 figures below appear on that page word for word.
Manual lead handling led to slow response times, missed follow-ups, inconsistent results, and heavy workload for staff, impacting loan conversion rates and compliance.
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.
“Orange Credit used an AI agent to automate lead follow-ups, convert 54 loan appointments within 28 days”
Quoted word for word from the source
“In the last 28 days, Orange Credit engaged 222 leads through the AI agent.”
Quoted word for word from the source
“Out of these, 101 leads replied, resulting in a reply rate of 45.6%.”
Quoted word for word from the source
“From those who replied, 54 leads progressed to receive in-principal approval and book a physical appointment, giving a conversion rate of approximately 53%.”
Quoted word for word from the source
“Leads are now engaged instantly instead of waiting for batch responses.”
Quoted word for word from the source
“Follow-ups are sent at the right time without fail.”
Quoted word for word from the source
“Staff no longer need to manually track and chase each lead, allowing them to focus on closing and serving customers.”
Quoted word for word from the source
more than double — RFPs responded to
Vendor-reportedTechnology & software · Sales & marketing · LLM · In production
685 — Student Enrollments
Vendor-reportedEducation · Sales & marketing · AI agents · In production
25%+ — lead-to-booking rate
Vendor-reportedConstruction & real estate · Sales & marketing · NLP · In production
$195,000 made in September — gross income
Vendor-reportedRetail & e-commerce · Sales & marketing · Classical ML · In production
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
0.82 — Gini coefficient for assessing risk
Independently reportedBanking & finance · Other · Classical ML · Pilot