Identify Industry Trends Before They Become Issues.

Full-population testing is the only way to truly protect consumers.

Azimuth Validator is the first platform to perform data-driven regulatory compliance testing at scale.

Protect consumers by testing every transaction across regulations.

Ensure consumers benefit from regulations, even ones they are not aware of.

Drive an efficient, data – driven examination process.

Insert Video of cross entity analysis.

  1. Ingest normalized data request from multiple regulated entities.
Cross entity test portfolio on laptop screen

2. Algorithms test regulatory requirements and regulator’s specific requirements. 

Regulators cross analysis validator software screen shoot

3. Detect industry and regulated entity specific issues and trends by product, by regulation.

Cross entity portfolio trends from Validator software on computer screen

Focus on remediation with regulated entities
vs. detection

Use data-driven monitoring as an early indicator of consumer harm.

CASE STUDY

Scenario 1

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  • Bank merger, banks on different instances of MSP
  • Same full population test applied to data from both portfolios and MSP instances
  • Tested for borrower protection during forbearance period and up to 6 months after, if
    actively seeking assistance

Outcome

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  • Testing identified business process and data differences between the two portfolios for a specific group of customers in forbearance
  • Conversion without this insight could have negatively impacted one group of customers, requiring post conversion manual cleanup

Scenario 2

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  • Large consumer loan sub – servicer tested compliance to required response times for qualified requests
  • Requirements vary across states

Outcome

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  • Testing identified compliance issues
  • Business processes not designed to capture the data required to demonstrate compliance
  • Processes and training did not consider state specific differences in timing and conditions
  • Identified non–compliance trends across certain types of requests, e.g., email vs. letters

See the Benefits