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
Shaun Adams
CTO, Credit Canary · June 2026
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