Debt Collection
AI revolutionizes Debt Collection by making follow-up communication smarter and more effective. Predictive analytics determine the optimal time and channel for sending payment reminders, increasing the likelihood of recovery.
AI-driven sentiment analysis tailors communication tone to maintain positive client relationships, while intelligent escalation workflows prioritize cases for further action, ensuring efficiency and professionalism in debt recovery.
Collection processes orchestration
Debt collection management is a challenge - from timely communication with debtors, to debt segmentation, to coordination of legal and enforcement actions. Traditional approaches are complex, costly and often ineffective.
Our no-code/low-code platform enables full orchestration of debt collection processes - automating workflows, dynamic recovery strategies and integrating with financial systems, without the need for coding.
Debt collection tailored to the situation - without coding.
Automate communication with debtors
Personalized SMS, email, IVR, chat.
Segment debt and optimize strategies
Debtor profile analysis and risk scoring.
Orchestrate debt collection activities
Seamless coordination of stages from reminders to legal actions.
Next collection action with ML
Traditional debt collection processes are often costly and suboptimal - escalating too quickly to court or ineffective actions generate unnecessary expenses.
Our no-code/low-code platform uses machine learning (ML) to intelligently select the optimal recovery method, helping companies recover debts faster, cheaper and more efficiently.
Data-driven debt collection - efficient and cost-effective.
Analyze repayment history and debtor behavior
ML identifies the most effective action for each case.
Automatically select the cheapest and most effective method
Instead of immediately taking the case to court, the system suggests, for example, e-mail, SMS, telephone or negotiation.
Personalize recovery strategies
Dynamically adjust the approach depending on risk and customer profile.