Banking & Finance

The problem

• Manual KYC/AML eats staff time
• Thin-file SMB lending is slow & risky
• Legacy data blocks a single view

What AI actually does about it

• GNN fraud/AML cutting false positives ~60%
• Alternative-data credit scoring
• Conversational account servicing

Outcome

AI fraud prevention saved banking ~$10.4bn in 2025 (Finastra).

Constraints that apply

Gulf: Sharia-compliant (no-riba) framing. UK: FCA + Consumer Duty. US: fair-lending (ECOA) on AI models.

About the figures on this page

These are indicative industry figures, not BvLogic measurements, and we have not verified them. They came from vendor and industry coverage when this page was written. We have not re-sourced them, we do not know the sample they came from, and we would not put them in front of you as evidence.

We are saying so because elsewhere on this site we refuse to print a peer median on the grounds that a number from no respondents is a fabricated number in the position of maximum influence. That standard has to apply here too, or it is not a standard. Use these to frame a question, not to support a business case — and if you need a figure you can defend, the Enterprise Outcome Record sets out what it takes to produce one.

Loan affordability (DSCR)

Can the cash flow cover it?

Runs in your browser. Estimates only, not professional advice.

Work with us

If you want this implemented rather than explained, see Enterprise Services or tell us what you need.