Directing end-to-end UX strategy for JPMorgan's firmwide AI assistant on mobile — translating complex enterprise AI into a secure, compliant, and intuitive experience for 200,000+ employees on the go.
JPMorgan's LLM Suite was scaling rapidly on desktop — but mobile remained an open question. For a global workforce of 200,000+ employees, many of whom operate primarily from phone and tablet while travelling, attending client meetings, or working across time zones, the absence of a well-considered mobile experience was a significant adoption gap.
The challenge wasn't simply porting a desktop product to a smaller screen. It meant rethinking navigation architecture, conversation flow, security constraints, and compliance patterns in a form factor where context-switching is constant, sessions are shorter, and cognitive overhead must be minimal.
Discovery ran in parallel across four workstreams: competitive analysis of the consumer AI landscape, an internal UX audit of existing JPMorgan patterns and the Salt Design System, user interviews with employees across Lines of Business, and a shared library review to identify reusable components versus gaps requiring new design investment.
Key signal: All consumer products optimise for speed & delight. None address enterprise trust, compliance framing, or regulated context signals — a significant white space for JPMC.
Navigation pattern consensus → bottom tab + persistent input bar. Thumb-reachable. Adopt.
Themes: (1) Data trust as prerequisite — security framing must be visible, not assumed. (2) Cross-device continuity expected. (3) Speed as a signal of quality. (4) Progressive disclosure essential for mobile. (5) High-value use cases narrow and consistent.
Salt DS covers ~60% of mobile needs. Conversation primitives (bubbles, typing, AI disclosure) require new component designs to be contributed back to the system. This work will benefit all future AI surfaces across the firm.
Research artefact — FigJam board: competitive analysis, user interviews & internal audit / Salt Design System gap mapping
The concept designs explored a light-mode conversational interface — clean, readable, and clearly enterprise in character. The phone form factor prioritised single-focus conversation with thumb-native input. The tablet design leveraged the additional screen real estate with a persistent sidebar for conversation history and context management, while keeping the main conversation area open and uncluttered.
Both surfaces shared a unified design language aligned with Salt Design System tokens — ensuring this work could be contributed back as reusable components for future AI surfaces across the firm.
Firmwide · Secure session
iPhone — Light mode chat
375 × 812 · Single-focus conversation
iPad — Light mode split view
834 × 1194 · Sidebar + conversation
iPhone — Simplified preview
Single-focus conversation