Whitepaper
·
9 min read
Don’t ask.
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
Written by
SA
Shaun Adams
CTO, Credit Canary · June 2026
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