Build one in four situations: before scaling a product; during a redesign or modernization effort; once design inconsistency starts slowing delivery; and…
Financial products scale across mobile, web, and internal tools faster than most teams plan for, and inconsistency in a regulated product carries…
At minimum: design principles, tokens for color, type, spacing, and state, a documented component library, UX patterns for flows like onboarding and…
A documented set of design tokens, reusable UI components, and UX patterns built specifically for financial products. Whether the term used is…
The model that consistently works in regulated environments is: AI and agents execute while humans decide. In practice this means tiered guardrails…
Leading fintech engineering teams deploy AI across the full software development lifecycle: coding agents write and review code, AI tools generate and…
How should fintech teams manage AI-generated code in regulated environments?
By Yura Gnatyuk
1 Mins read
Through a layered governance model: classify repositories and services by risk level, require senior engineering review for all AI-generated code touching payment…
The four that matter most are: (1) the share of AI-generated work that reaches production without rework; (2) how often engineers override…
No. The May 2026 Digital Omnibus agreement defers high-risk obligations for standalone systems to December 2027, but other AI Act provisions continue…