Timely identification of at-risk customers

RDC.AI Automated Reviews replaces schedule-driven commercial credit reviews with risk-driven ones. It automates the assessment of low-risk business and commercial customers and produces explainable insights for those at higher risk, so your relationship managers spend their review effort where it changes an outcome. Reviews are triggered by what the data says rather than by a date, populated from live customer data, and delivered with a traceable explanation your credit team and your regulator can follow.

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solution highlights

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The problem with reviewing everything on a schedule

Mandatory customer reviews are essential. They are also, in most banks, a calendar exercise. Every customer in a segment gets the same review at the same interval regardless of whether anything has changed, which produces two failures at once: effort spent confirming that healthy businesses are still healthy, and deteriorating businesses waiting their turn.

The work itself is heavy. Financials to gather and spread, ratios to compute, policy checks to apply, a memo to write, approvals to route, an audit trail to assemble. Multiply by a portfolio and the review cycle becomes the single largest consumer of credit team capacity, most of it spent on customers who did not need it.

Animation of a search scanning customer profiles one at a time and marking each teal, orange or red by review outcome
Animation titled 'Review less. Know more.' sorting customers into automated reviews, with only one sent to manual review

What Automated Reviews Do

While mandatory customer reviews are essential, they are often time-consuming for lenders. Our Automated Reviews solution optimizes this process by automating assessments for low-risk business and commercial customers and providing explainable insights for those at higher risk. This enables relationship managers to have purposeful, proactive risk management discussions.

The shift is from processing reviews to triaging them. The platform assesses every customer continuously, clears the ones where the evidence supports clearing them, and escalates the ones that need a human with the reasoning already assembled.

Solution Value

Key Benefits

Red icon of a bar chart with a question mark, representing risk reduction

Reduce Risk

Enhance risk oversight through auditable, transparent, and traceable review processes that help you focus on the right customers at the right time.

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Improve Decisions

Utilize the latest data to assess both current and future credit health of customers.

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Increase Efficiency

Convert lengthy review processes into efficient, automated operations, reducing costs and saving time.

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Enhance Customer Relationships

Equip your team with the insights necessary for proactive conversations that help mitigate risk and strengthen customer relationships.

Frequently Asked Questions

How does Automated Reviews decide which customers to automate?

Assessment is driven by the customer's risk and enriched with cash flow health. By monitoring customers regularly we can prioritize the review activities and also justify the appropriate level of review activity required. Those showing risk or material change are escalated with an explainable insight package.

Does this replace our review policy?

No. It executes your policy more efficiently. Your institution retains control of configuration, use case design and operational decisions, including where the automation thresholds sit. The ability to iterate and improve quickly is built in.

How do we evidence an Automated Review to a regulator?

Every assessment carries a Self-Describing Decision: a controlled-language explanation traceable from input data through to outcome. Comprehensive versioning across data, models, strategies and decisions means you can always show what ran, on which version, and why.

Can relationship managers override an outcome?

Yes. RDC.AI is built on the principle that AI augments human capability rather than replacing human judgment. Recommendations are provided to the relationship manager and escalation pathways are defined to enable follow up.