Incedo Optivus – AI Decision Optimizer for Collections

Modernize Collections with Intelligence That Drives Outcomes

Collections performance is no longer improved by adding more calls, more rules, or more manual effort. Banks need the ability to detect risk earlier, prioritize action scientifically, and continuously optimize recovery strategies as portfolio behavior changes.

Incedo Optivus is an AI-native decision optimizer built for banks seeking to transform collections from a reactive servicing function into a proactive value engine. It brings together fragmented customer, account, payment, and behavioral data to create a decision-ready foundation that improves how collections strategies are designed, executed, and refined.

Rather than waiting for delinquency to occur, Optivus helps institutions identify emerging risk, uncover self-cure opportunities, and focus treatment efforts where recovery potential is highest.

Why Legacy Collections Models Underperform

Many collections environments still operate on static segmentation, delayed triggers, and one-size-fits-all treatment paths. Decisioning is often constrained by siloed systems, limited analytics, and operational processes built for a different era.

The result is predictable: slower intervention, higher charge-offs, inefficient agent effort, inconsistent customer treatment, and rising servicing cost.

How Optivus Creates Advantage

Optivus applies AI-driven scoring, clustering, recommendationing, and continuous feedback learning to optimize collections decisions across the lifecycle. The platform helps banks determine which accounts require immediate action, which customers are likely to self-cure, and which treatment strategy is most likely to deliver the best outcome.

Human-in-the-loop controls ensure transparency, governance, and business confidence, while seamless integration with downstream systems enables rapid execution without disrupting the existing collections ecosystem.

Built Using AWS Services

The solution is built on AWS and can leverage Amazon Bedrock for generative AI decision support, Amazon SageMaker for predictive models and optimization, Amazon Redshift for enterprise analytics, Amazon QuickSight for operational dashboards, Amazon S3 for secure data storage, AWS Glue for data engineering, and AWS Lambda for workflow automation.

What This Delivers

Optivus enables earlier risk detection, sharper prioritization, smarter treatment selection, explainable decisioning, stronger governance, and a continuously improving collections model that becomes more effective over time.

Business Impact

Banks can improve recoveries, reduce delinquency and charge-offs, lower collections cost-to-serve, increase operational productivity, strengthen customer engagement strategies, and build a future-ready collections organization powered by data and AI.