Figma/FigJam for design; analytics and session tools for evidence; internal AI accelerators for synthesis and variant generation.
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Agentic UI/UX Modernization augments product design with intelligent assistants. We use AI to cluster research, summarize insights, generate UI options, and draft content—always constrained by your design system. The result: faster cycles, clearer decisions, and consistent UX that reflects your brand.
We start with journeys and jobs-to-be-done, then use AI to propose flow variants, states, and microcopy. Designers curate options, apply tokens/components, and validate with usability tests. Accessibility (WCAG 2.2 AA) and performance budgets are checked before handoff to engineering.
Interactive prototypes, redlines, and component specs; content guidelines and error/empty-state patterns; analytics and experiment plans tied to KPIs (conversion, activation, time-to-task, CSAT). Clean handoffs reduce dev rework and speed time-to-value.
We bake in guardrails for privacy, brand safety, and accessibility. Prompts, content rules, and approvals are documented; outputs are reviewed by humans-in-the-loop. Artifacts include checklists and audit trails so changes remain explainable and policy-aligned.
Figma/FigJam for design; analytics and session tools for evidence; internal AI accelerators for synthesis and variant generation.
No. AI accelerates exploration; designers decide patterns, content, and quality. Humans remain accountable for outcomes.
Yes. We extend tokens/components or help formalize them; all AI-generated outputs are constrained to approved patterns.
We target WCAG 2.2 AA—contrast, focus order, keyboard/AT support, labels, and error messaging—validated before build.
Prototype variants in days; a validated thin slice typically within two weeks, ready for engineering handoff.
KPIs defined up front: conversion, activation, time-to-task, task success, and CSAT—validated via usability tests, A/Bs, and telemetry.
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