AI Adjudication Prototype
Designed an AI-assisted adjudication prototype for the AI Studio's Defense & Security vertical, creating a transparent review experience that makes automated risk scoring visible, traceable, and easy to validate — improving analyst confidence without adding complexity.
Guidehouse: AI Studio – Defense & Security · 2025–2026
Project Overview
Part of the AI Studio's Defense & Security vertical, this project focused on designing an AI-assisted review experience that improves transparency and confidence in how analysts interpret automated insights.
I led the UX direction from concept to delivery, defining the user flow, facilitating stakeholder sessions, and collaborating with AI engineers to turn complex reasoning into a clear and explainable interface.
Using Figma Make and prompt engineering, I created multiple layout directions, refined prompts based on feedback, and helped stakeholders align quickly on a final design. This workflow reduced early concept time and influenced how the AI Studio approaches ideation across verticals.
A walkthrough of the AI-assisted review flow highlighting document intake, risk scoring visualization, and explainability features
Problem & Context
Analysts were spending extensive time manually reviewing and cross-checking long reports with little visibility into how automated models scored or flagged risks.
The goal was to design a workflow that made AI reasoning visible, traceable, and easy to validate without adding complexity for the analyst.
My Role
- Led UX design within the AI Studio's D&S vertical
- Defined the end-to-end experience from document intake to result summary
- Partnered with AI engineers to align model outputs with explainable design patterns
- Created layouts, interactions, and data visualization logic
- Co-led stakeholder workshops and testing sessions to validate direction
Design Goals
- Transparency: Show how AI decisions are derived and supported
- Clarity: Present risk information in a simple and verifiable format
- Speed: Reduce review time while preserving control and accuracy
Discovery
- Reviewed existing analyst workflows and documentation methods
- Identified areas where AI could support decision-making without replacing human oversight
Concept Exploration
- Used Figma Make to generate two design directions: structured dashboard and conversational layout
- Applied prompt engineering to refine structure, hierarchy, and tone
- Gathered stakeholder feedback and aligned on a hybrid layout combining both directions
- Reduced the concept phase by more than half compared to previous projects
Design Development
- Integrated explainability through rationale snippets, field mapping, and source references
- Created a color-coded scoring system across 13 evaluation categories for quick scanning
- Designed a conversational side panel for real-time clarification and recalculation
- Extended design system patterns to fit D&S use cases, adapting global AI Studio standards
Testing & Iteration
- Conducted internal reviews for clarity, speed, and comprehension
- Refined hierarchy, contrast, and interaction states based on user feedback
Key Design Solutions
Explainability Panel
Displays the reasoning behind each AI insight, linking scores to data fields for quick context.
Interactive Scoring Visualization
Color-coded indicators communicate confidence levels and patterns clearly.
Conversational Feedback Loop
Analysts can clarify or adjust information through a side panel, triggering instant recalculation.
Traceability View
Each insight links back to its source, ensuring accountability and verification.
Outcome
Delivered an AI-powered workflow that demonstrated how design can make automated insights trustworthy and practical for analytical work.
Received strong feedback for clarity, transparency, and adaptability, and is now referenced across the AI Studio as a model for explainable AI experiences.
Next Steps
- Continue refining prompt engineering for faster stakeholder alignment
- Apply learnings from this project to improve collaboration speed across future AI Studio workflows
- Reinforce design standards for explainability and traceability across verticals