Practical Applications

Key Use Cases

A closer look at past decisions can show where a process needs work.

Use cases

Practical applications of FairBorrow™.Ai

These are some of the ways the approach can help. To discuss your own data or needs, Get in Touch.

Home lending and mortgages

Compare loan outcomes and find cases that need review.

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The mortgage use case draws on public HMDA data from the CFPB. It helps teams study loan outcomes and spot differences.

A firm can discuss a custom review using its own data. Agree the data access, safeguards and place of work before sharing records. Options may include work within the firm’s own systems.

Auto loans and credit cards

Check how similar credit cases are handled across teams and products.

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The same need for sound decisions applies to auto loans and cards. Teams can review past cases to see where outcomes differ.

A custom scope can use the firm’s own data. Agree how records will be protected and where the work will run before data is shared.

Anti-money laundering and BSA

Review the steps from an alert to a case and a filing decision.

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An automated rule may raise an alert. Staff then decide whether it needs more review. A case may lead to a Suspicious Activity Report, or SAR, when the relevant rules require it.

Each step calls for judgment. Even with automated alerts, similar cases may be handled in different ways.

A review can compare those decisions and check the facts behind them. It can also help staff find gaps in the process. Data access and work within the firm’s systems are agreed in the scope.

Stock trading

Review trade patterns and exceptions against the firm’s policies.

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Trading tools do not remove the need for sound oversight. Unusual trades can help show where a team needs to look more closely.

The SEC’s 2023 enforcement report is one source of lessons. The report covered $4.949 billion in financial remedies across its enforcement work. It was not a measure of insider trading alone.

A custom review can use trade records to find differences and test possible causes. Agree the scope, data safeguards and review roles first.

Insurance underwriting

Check why similar requests for cover led to different decisions.

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An insurer weighs several facts when it sets cover. Staff judgment still matters when a model is used.

A review can compare past cases and trace differences to the records. It can help show where the process needs work. The insurer keeps control of its decisions.

Insurance claims

Review claim outcomes and the records that support them.

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Claim decisions may depend on policy terms, loss estimates and other facts. Similar cases can still lead to different results.

A review can show where those differences occur and which cases need a closer look. Claim staff can use the findings to improve how they review cases.