Whitepaper · 9 min read

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Verify, then play it back.

The FCA’s own data shows a single-bureau risk read is a lottery, and self-reported income is the least reliable field in lending. Here’s how Credit Canary separates risk for acceptance from liquidity for repayment and terms — and uses a data-quality score and AI agents to build a complete, validated picture of every customer.

Inside this whitepaper

The bureau lottery, in one chart

Why only 16–29% of customers land in the same risk decile across two bureaus — and what to do about it.

Why the form is the wrong tool

Customers aren’t lying about income — they don’t know it. Verification beats interrogation.

The Data Quality Score

A live measure of how complete the picture is — and the trigger for AI agents to fill the gaps before a decision is made.

Two engines, one explainable system

Risk for acceptance, liquidity for repayment — on different inputs, gated by data quality, defensible end to end.

From the FCA’s own data

16–29%

Same risk decile across two bureaus

54%+

Income differs by 2+ deciles

91%

Decisions on one bureau

94%

Auto-decline on one data point

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Inside this whitepaper

From the FCA’s own data

Written by

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More from Credit Canary

Don’t ask.Verify, then play it back.

Inside this whitepaper

From the FCA’s own data

Written by

Check your inbox

More from Credit Canary

Don’t ask.
Verify, then play it back.