Transforming Debt Recovery with Agentic AI
Collect and integrate customer data from various sources.
Utilize machine learning algorithms to predict delinquency risk.
Determine appropriate actions based on predicted risk scores.
Implement decisions based on the determined actions.
Continuously monitor and refine the model based on outcomes.
Customer Data feeds into the Predictive Model.
The Predictive Model analyzes data and generates risk scores.
Decision Logic uses risk scores to determine actions.
Actions are implemented based on the decisions made.
The Learning Loop refines the model based on action outcomes.
Autonomous data processing and predictive modeling.
Automated decision-making for low-risk customers.
Continuous model monitoring and refinement.
Agentic AI enhances efficiency in routine tasks.
Enables scalable collections operations.
High-risk decision review and approval.
Direct customer communication and support.
Model retraining and validation by human experts.
Handling complex customer situations requiring empathy.
Ensuring ethical considerations in decision-making.
Regularly audit and test the model for bias.
Ensure fairness across demographic groups.
Implement strategies to mitigate potential biases.
Promote equal opportunity for all customers.
Establish transparent and unbiased decision-making criteria.
Provide transparent and interpretable explanations of model decisions.
Ensure compliance with relevant regulations like FCRA and ECOA.
Maintain detailed audit trails of all decisions and actions.
Stay informed about and adapt to evolving regulations.
Establish accountability for AI-driven decisions.
Implement robust data protection measures.
Safeguard customer information from unauthorized access.
Adhere to strict privacy protocols and standards.
Utilize data encryption and anonymization techniques.
Ensure secure data storage and transmission.
Decrease delinquency rates by 15% within the next 6 months.
Reduce collections costs by 20% through automation.
Improve collections efficiency by 30%.
Track and monitor key business performance indicators (KPIs).
Optimize collections strategies based on data analysis.
Provide personalized and proactive support to customers.
Ensure fairness and transparency in collections practices.
Enable Geldium to scale its operations.
Improving overall customer experience and satisfaction.
Reducing potential for bias and discrimination.