CASE STUDY
An AI voice agent that calls, negotiates and secures promises to pay
The first 5 days of an AI collections agent on early-stage delinquency
2M+
Bank customers
65,5%
Contact rate
23,5%
Promised to pay
12-MONTH PROJECTION
The impact of scaling collections with voice AI
More reach, more conversations and more chances to recover.
≈ 252.000
Projected call attempts
≈ 47.000
Projected customer contacts *
≈ 2.370
Calls handled by AI
≈ 2.700
Projected promises to pay *
*Illustrative 12-month projection based on constant performance and volume. It is not a validated forecast and does not guarantee future results.
Context
A bank with more than 2 million customers needed to reach its early-delinquency accounts. An AI voice agent, following the bank’s business rules, called every one of them: 5K calls in 5 days.
Each customer received an average of 5.4 calls over those 5 days.
RESULTS IN 5 DAYS
Six out of ten customers answered. The agent called every one of them.
EACH ANSWER WAS A LIVE PERSON, EXCLUDING VOICEMAIL.
From call to payment, without losing the thread.
The account holder confirmed the full amount due and a payment date within the next 7 days.
24,5%
Right-Party Contact (RPC)
39.2% of those who answered
5,8%
Promises to Pay
23.5% of contacted account holders
2,1%
Confirmed Payments
36.5% of promises to pay
The time of the call changes who answers
Answers peaked at 10 a.m. By 3 p.m., the contact rate dropped sharply.
Answer rate (%) By time of call.
HOW IT WORKS
A robust process built
on knowledge of each business
Listen to an early-stage collections call and watch the agent complete each step.
Conversation
Presiona play para escuchar la llamada. Las etapas avanzan con el audio.
Want to know more?
Talk to your account advisor.