# How SteadyPay uses Gradient Labs

**33,000**: “SteadyPay scaled to 33,000 outbound calls per month”

As published on [gradient-labs.ai](https://gradient-labs.ai/customers/steadypay). Captured by usedby on 2026-10-07.

- Company: [SteadyPay](https://www.usedby.ai/companies/steadypay.md)
- Tool: [Gradient Labs](https://www.usedby.ai/tools/gradient-labs.md)
- Teams: Collections, Customer Experience

## What the story says

SteadyPay uses Gradient Labs' AI voice agent to place outbound calls to borrowers with outstanding loan balances who have not responded to written communication. The agent verifies identity, explains payment expectations and options, secures a repayment date, and updates back-office records.

Summary written by usedby from the source page, in English. The figures are those of Gradient Labs and SteadyPay, not ours.

> Over the course of four weeks, the Gradient Labs AI voice agent made over 33,000 outbound calls to SteadyPay customers who had a loan and had not yet responded to written communication.

- **60%**: “SteadyPay found that if a customer picked up the phone and passed ID verification, there was a 60% chance of meeting the business goal.”
- **20%**: “In one month, SteadyPay’s inbound call volume jumped 20% from customers responding to the AI voice agent’s initial outreach, turning these “cold” customers into engaged ones.”

> Before Gradient Labs, we needed to find a way to reach our growing number of customers effectively. Now we make 33,000 calls a month, converting 60% of engaged customers to committed repayment dates, all within FCA compliance standards.
>
> Violeta Filip, Head of Customer Experience

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 33,000 is printed word for word on the page, near the name of SteadyPay.
- Checked: the passage quoted above is copied word for word from the page, near the name of SteadyPay.
- Checked: SteadyPay uses Gradient Labs. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

---
Source: https://www.usedby.ai/case-studies/steadypay-gradient-labs · How we check: https://www.usedby.ai/methodology