Incedo AI Collections Optimization & Recovery Intelligence Platform

Incedo AI Collections Optimization & Recovery Intelligence Platform helps banks modernize collections operations using AI-driven decision intelligence, predictive analytics, behavioral modeling, and adaptive recovery strategies. Built on AWS and powered by the Incedo Lighthouse platform, the solution enables financial institutions to improve recoveries, reduce delinquency, optimize treatment strategies, lower servicing costs, and deliver more personalized customer engagement across consumer and small business portfolios.

Instead of relying on static rules, blanket treatment paths, and reactive collections workflows, the platform continuously analyzes customer behavior, payment activity, risk signals, contact history, and portfolio trends to recommend the next best collection action for every account in real time.

From early-stage delinquency management through recovery execution, banks can improve collections effectiveness while reducing operational cost, strengthening compliance controls, and improving customer experience.

The Challenge: Legacy Collections Models Limit Recovery Performance

Traditional collections environments often depend on DPD-based segmentation, disconnected servicing systems, manual reporting cycles, and rigid treatment strategies that cannot adapt to changing customer behavior.

Collections teams frequently struggle with:

Limited visibility into customer risk and hardship signals Generic treatment paths with low personalization Delayed identification of delinquency trends Inefficient right-party contact strategies High cost-to-collect and manual servicing effort Difficulty distinguishing hardship cases from willful default behavior Fragmented collections analytics and reporting

These limitations directly impact recoveries, operational efficiency, customer trust, and regulatory compliance.

The Solution: AI-Driven Collections Decision Intelligence

Built on the Incedo Lighthouse platform, the solution creates a unified collections intelligence layer by combining:

Account and lending data Transaction behavior Customer engagement signals Contact history Bureau and risk data Payment activity and delinquency trends Predictive recovery scores Customer hardship indicators

Machine learning and AI models continuously optimize:

Treatment path recommendations Right-party contact likelihood Promise-to-pay probability Delinquency prediction Hardship identification Settlement opportunity detection Contact timing optimization Recovery prioritization Next-best-collection-action recommendations

A GenAI-powered Collections Strategy Workbench enables collections leaders and analysts to diagnose portfolio performance shifts, simulate treatment strategy changes, identify recovery leakage, generate AI-driven recommendations, and accelerate collections decision-making.

The platform supports governed collections operations with explainable AI, human-in-the-loop approvals, auditable workflows, and policy-aligned strategy execution.

Common Banking Collections Use Cases AI-powered collections optimization Delinquency prediction and early risk detection Debt recovery automation Next-best-collection-action recommendations Customer treatment optimization Promise-to-pay prediction Hardship detection and resolution Collections workflow automation AI-driven recovery strategies Collections analytics and performance monitoring Right-party contact optimization Omnichannel collections engagement Built on AWS and Generative AI

Built on AWS, the platform can leverage:

Amazon SageMaker for predictive recovery models and collections intelligence Amazon Bedrock for Generative AI copilots and agentic AI workflows Amazon Personalize for next-best-action recommendations Amazon Redshift for collections analytics AWS Glue for data integration and transformation Amazon Kinesis for real-time event streaming Amazon QuickSight for operational dashboards and performance visibility

The platform also supports conversational AI, anomaly detection, natural language insights, explainable AI, strategy simulation, model monitoring, and personalized outreach orchestration across SMS, email, voice, and digital servicing channels.

Business Outcomes

Banks using the platform can improve recovery rates, reduce delinquency and charge-offs, lower cost-to-collect, optimize treatment effectiveness, improve right-party contact rates, accelerate collections strategy execution, increase collections agent productivity, strengthen compliance governance, reduce manual servicing effort, and build a scalable AI-powered collections foundation that continuously improves over time.