
Fraud Investigation
My Role in AWS:
Redesigning AWS Fraud Investigation Platform
Lead UX designer
Lead cross-functional alignment across complex problem spaces to define product strategy & set design vision.
Design for scale, autonomy, and impact. Work with internal & external customers to understand the challenges & bring their voice to the table
Recommend design solution, create end-to-end user experience & collaborate with engineers along with AI/ML scientists for bringing design to life. Bringing AI, compliance, and usability into a single user experience.
Platform: AWS Commerce and Fraud Management Platform
Team: Product, Engineering, AI/ML, Fraud Operations
Impact: +58% investigation efficiency | +80% Task efficiency | +Investigator trust
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud offering with millions of active customers and tens of thousands of partners globally. AWS Fraud Prevention team offers various fully managed solutions to monitor customer’s businesses globally, enabling them to identify potentially fraudulent activities and catch more online fraud faster.
AWS currently offers legacy fraud investigation tool which is used by external partners and internal investigation team to monitor fraud at all Amazon & AWS businesses. The tool is complex to use & difficult to understand. Due to complexity, it is not efficient in investigations and hard to maintain.
Business Goals
Design a modern, scalable, and user-centered investigation platform that:
Reduces investigation time.
Empowers non-technical users with self-service tools.
Consolidates workflows across the fraud lifecycle.
Aligns with AWS’s internal security, compliance, and branding standards.
Current State and Challenges
To understand the scope of work, I conducted cognitive walkthroughs and 1:1 interviews with current investigators. This research provided great insights about who users are, their daily activities & pain points in using current process.
AWS’s legacy fraud investigation process was:
Visibility of information
Many users complained about not able to quickly read thorough & understand the content due to too many colors and tables. This increases investigation time significantly for new users.
Workflow Fragmentation
Users had to switch between fraud applications during the investigation. More than 50% users asked to consolidate info into one system.
Visually outdated
Users mentioned that the screens don’t look modern and feel old with many colors & icons. It gave impression that AWS is not paying attention to experience & forcing users to learn old school system.
Developer Bottlenecks
The steps for updating business workflow are unclear & complicated. PMs couldn’t update workflows without engineering help. They have to raise tickets to AWS teams to make any changes to their system & reply on their availability to resolve it.
Low trust
The inefficient and cumbersome product delivered low trust and engagement from both internal and external teams.
Design Strategy
We kicked off a multi-disciplinary design workshop with stakeholders from:
Product
Engineering
AI/ML
Business Ops
Persona
Persona
Key workshop outcomes:
Agreement on pain points & priorities
Definition of a role-based system
Alignment on MVP and long-term vision
Investigator
Program Manager
Needs & Frustrations
Needs faster access to actionable data, hates jumping between tools.
Needs ability to configure workflows without dev dependency.
We mapped their daily investigation flows and identified moments of friction and opportunity.
Journey Map
Navigation
Defining investigation journey for users in the system
Defined how information will be structured. Program manager will have access to entire architecture and Investigators will access part of it based on their role.
Design Solution
Self-Serve Configuration flow
Empowered PMs to manage their workflows without ticketing devs.
Unified Task View
Combined all investigation data in a single screen. Eliminated tool-switching.
Role-Based Dashboards
Delivered context-aware dashboards tailored to each persona to provide investigation insights & bring attention to important notification/tasks
Modern UI
Redesigned with cleaner typography, fewer colors, and improved visual hierarchy.
Landing Pg
Final Mocks
Self-Service Configuration : Step-by-step configuration wizard for PMs
Complete Configuration
Work Stream Dashboard
Investigation Dashboard : Detailed case view with linked evidence, notes, and AI/ML fraud insights
Investigation Dashboard
Self-serve Configuration
Investigate
Impact
Stakeholder Feedback
“This is the first time the platform actually feels like it’s built for us.” – Fraud Analyst
“Our PMs no longer need to file tickets for every change. This is a game-changer.” – Program Manager