Solutions / Fintech lenders
Collections that move at the speed you underwrite
Digital lenders approve in minutes and then collect with phone banks. Small tickets cannot carry human calling costs. attpro makes the first five contacts fully automatic and reserves people for the accounts that earn them.
Where attpro fits
Built for how fintech lenders actually work
Three things a head of risk or operations needs that a generic dialler does not give them.
Unit economics that work at small ticket
Voice AI and messaging cost a fraction of a telecaller minute, so a Rs 8,000 account can still be worked properly.
API-first
REST and webhooks both directions: push disbursals in, get dispositions and payments out, in near real time.
Experimentation built in
A/B branches inside flows - test a script, a channel order or a settlement offer on a cohort, read the result in the dashboard.
The first ninety days
What changes, and when
A pilot is one cohort, one flow and one number to beat. This is the shape it takes on a real book.
- 01
Weeks 1 to 2: API-first onboarding
Disbursals in over REST, dispositions and payments out over webhooks. A cohort of small-ticket accounts runs fully automatic from day one.
- 02
Weeks 3 to 6: experiments, not opinions
A/B branches on script, channel order and offer, read in the dashboard by cohort. The winning branch becomes the default.
- 03
Weeks 7 to 13: humans where they earn it
Only accounts that cross the risk threshold reach a person. Cost per resolved account and roll rates are the numbers the board sees.
Reporting and integration
The numbers a head of risk or operations reports
Each one is a dashboard view, not an export project, and the data gets in without a core-system change.
On the dashboard
- Cost to collect per account
- D0-D30 cure rate
- Contact-to-promise conversion
- Complaint rate
Getting connected
REST APIs with webhooks; SFTP if your LMS prefers files. Payment callbacks from Razorpay and Cashfree.
What carries the load
Three capabilities do most of the work for fintech lenders
The whole platform is included. These are the parts this segment leans on first.
Messaging
Messages that report back, not broadcasts into the dark
SMS, WhatsApp, RCS and email run from the same flow as every other channel. Delivery, read and reply signals come back into the engine and decide the next...
Open messagingPayments
The shortest path from promise to money in the account
Payment links, UPI and NACH, promises tracked to the day, and a self-service portal where a borrower can settle at midnight without speaking to anyone.
Open paymentsAnalytics
The book, explained - not another export to Excel
Operations dashboards, AI cohort intelligence, recovery forecasts and agent performance, computed on the live book and rendered in the units Indian lending...
Open analyticsQuestions
What fintech lenders ask first
Straight answers to the questions that come before a pilot. The rest, an engineer takes on the demo call.
How fast can we integrate?
The REST API and webhooks are documented on the developers page; a team with an LMS event stream is usually live on a cohort within two weeks.
Does small ticket really pay?
Voice AI and messaging cost a fraction of a telecaller minute, so an eight-thousand-rupee account is worked on every channel, in the borrower's language, at the right hour. The ROI page runs your numbers.
Can we keep our own gateway and telephony?
Yes, and you should. Your Razorpay or Cashfree, your Exotel, your messaging accounts. The platform orchestrates; your contracts and rates stay yours.
Bring one delinquent cohort. We will run it.
A demo here is not a slideshow. Pick a segment of your book, watch a flow built for it, and hear an agent call a test number in your language.