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Where AI actually earns its place in a financial product

May 28, 2026 · 5 min read

AI in fintech gets pitched as a chatbot bolted to a banking app. The high-value applications are quieter and sit further down the stack.

Risk and fraud scoring

Behavioral models catch patterns rule engines miss, and they improve as volume grows. Keep them advisory to a deterministic rules layer so decisions stay explainable to regulators.

Transaction enrichment

Merchant name cleanup and categorization is unglamorous and drives nearly every downstream feature: budgets, insights, search, and dispute context.

Support deflection with retrieval

A retrieval-grounded assistant answering questions from your actual policy documents deflects real volume. One rule: it answers, it never transacts.

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Wve Labs designs, builds and launches secure financial products — mobile, web and the platform behind them.

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