Customer Credit Risk Assessment Automation

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Evaluate customer creditworthiness by combining internal data and scoring logic to automate credit approvals and limit assignment.

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This automation analyzes customer risk by combining internal payment history, financial ratios, and optionally credit scores (via the Credit Score Integration). It applies your custom risk model to classify customers and suggest credit limits or escalations.

It integrates with ERPs, CRMs, financial statement databases, and optional score sources. The workflow runs scoring logic, applies approval rules, and routes cases based on risk tier.

It empowers AR and finance teams to make faster, data-backed credit decisions while enforcing policy and minimizing default exposure.

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“Minimizes risk and saves up our time!”
Mario Nasser
Head of FP&A

About Abstra

Abstra is a Python-based workflow engine to design and manage custom business processes with no overhead, powered by AI. Merge automated tasks with manual reviews, gain real-time insights into operations, and track history with logs & git-friendly versioning.