LIGER AI — Defining the future of productivity and collaboration through AI and Agentic tooling for US Gov
Role
Principle Designer
Lead AI / Agent UX
UI Visual Design
Interaction Design
Year
2025
Surface
Desktop
Browser
Overview
LIGER 1.0 launched with serious technical muscle—multi-LLM, RAG pipelines, agent frameworks—but the user experience was fragmented and closer to MVP than Product. Analysts faced multiple AI tools (Chat, Assistants, Workflows, Generators) and little confidence about when to use which or how to trust results.
I was brought in to lead the UX re-architecture of LIGER 2.0, reframing it as a goal-driven, Toolkit-first platform where analysts can complete complex, repeatable work with AI as a transparent teammate.
Business & User Goals
Business goal | Reposition LIGER as a scalable GenAI productivity system for the federal market—moving from engineering showcase to user-value platform.
User goal | Help analysts trust and reuse AI outputs by unifying tasks, data, and context in one secure workspace.
Design Process
Architecture Audit — Mapped how current entry points overlapped and why users disengaged.
System Redesign — Overall UI design elevation, realignment of principles, hierarchy, nuanced color and type improvements.
Competitive UX/UI Analysis and Research-based Agent Scaffolding — Deep UI breakdown of LLM productivity tools; collaboration with Engineering to bring user-based Research to Agent design.
Net-new UI surface — introduced Toolkits: modular, goal-based AI experience templates that leverage system prompts, SME context, and RAG sources into reusable AI outputs or workflows.
Workspace Layer — Created ProjectSpace, a persistent area that houses conversations, citations, and outputs under compliance rules.
Telemetry & Testing — Partnered with engineering to gather and analyze user telemetry; partnered with GTM to engage focus groups and design surveys.
Outcomes
The Toolkit-first UX simplified decision-making, reduced redundant AI paths, and clarified the AI’s role within analyst tasks.
> Huge reduction in user friction per user interviews.
> Strong traction with pilots, key features identified as clinchers in Sales conversions.
> Strong executive alignment behind the 2.0 strategy.
Impact
LIGER 2.0 now serves as a durable, extensible GenAI system—clearer, faster, and trusted. The redesign created the blueprint for our differentiated strategy for our very first 0-1 conversions from pilot to sales across multiple Federal agencies.
Jess Scott, California U.S.A.
I've been thinking deeply about how design transforms technology for over ten years. I scale ideas from head-scratching kernels of 'what-if' into cutting-edge portfolios for Fortune 50 companies.
