New: irAuthor Web delivers AI-assisted decision modeling for regulated industries

Success stories

8 Real Examples of Decision Automation That Drive Business Results


Results

Early outcomes highlight the value of Libra.

Teams are seeing improvements such as:

Reduced risk exposure

Teams can now identify and correct errors in decisioning logic more quickly.

Faster credit approvals

Processes that once depended on manual Excel checks or slow IT updates can be executed more consistently within InRule.

Closer business-IT alignment

Business analysts own rule definition and testing, while IT focuses on integrating InRule into the wider infrastructure, ensuring the bank can move faster without sacrificing stability.

Importantly, Libra has a clear, phased roadmap for extending InRule’s role. Near-term goals include using InRule to support batch processing for annual rescoring of thousands of customers. Longer-term. the bank envisions expansion into compliance, fraud detection collections and operational workflows like account opening and KYC checks. By establishing InRule as a central rules engine, Libra is building the foundation for a broader culture of automation and decision intelligence.


About InRule

InRule Technology® is an Al Decisioning company providing integrated decisioning, machine learning. and process automation software to the enterprise. By enabling IT and business leaders to make better decisions faster, operationalize machine learning, and improve complex processes, InRule@ increases productivity, drives revenue, and provides exceptional business outcomes.

Industry-leading organizations worldwide rely on In Rule for mission-critical applications. InRule Technology has been delivering measurable business and IT results since 2002. Learn how to make automation accessible at www.inrule.com.

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Resources

Explore the platform in action

Explore real-world examples of how organizations use InRule to unify rules, processes, and data. Read articles, watch webinars, and access expert insights on building transparent, adaptable automation.