Global digital business services company TP said its artificial intelligence (AI)-powered debt collection platform helped clients recover up to 40% of unpaid debt while lowering collection costs and maintaining customer satisfaction levels similar to human agents.
The company said its solution, called TP.ai FAB Collect, combines AI, analytics, and automated customer communication to help banks and telecom firms collect overdue payments more efficiently. The platform is part of TP’s proprietary TP.ai FAB (Foundational AI Backbone) framework.
Debt collection has become a growing issue for financial institutions as more consumers struggle with loan and bill payments. Banks and lenders across Asia are also under pressure to modernize customer service operations and reduce costs through digital tools.
TP said many lenders face a difficult balance: improving debt recovery without damaging customer relationships. The company is using its AI system to automate repetitive collection work while allowing human agents to focus on more sensitive customer conversations.
“We trained our AI on 40 years of human collections expertise. Now it handles the first wave, so our human advisors can focus on the conversations that truly matter,” said Assaf Tarnopolsky, chief business development and customer officer, APAC of TP.
According to TP, a major financial institution using the platform reported that the AI agents achieved customer satisfaction scores slightly higher than human agents while recovering 40% of outstanding debt.
In another deployment involving a telecommunications company, the AI system adjusted payment reminders and outreach strategies based on local customer payment behavior. TP said this resulted in a 7 percentage-point increase in successful payment commitments compared to a human-only collection model.
The company also said the system reduced collection costs by 40% while improving performance over time.
The use of AI in debt collection is gaining traction globally as banks and telecom firms look for ways to manage rising credit risks, especially in markets with growing digital banking adoption such as the Philippines. Financial institutions are increasingly investing in automation to improve efficiency while meeting stricter customer service and compliance requirements.
For Philippine businesses, AI-powered collection systems could help banks, lending firms, and telecom providers handle increasing customer volumes without significantly expanding manpower costs. The approach may also help improve customer engagement by using more personalized communication instead of aggressive collection methods.