Moody's Maxsight

TL;DR: A ground-up redesign of Moody's flagship compliance and risk platform. Enabled expansion into multiple use cases, and onboarded major enterprise customers including Amazon (AWS).

Moody's Maxsight

Context

Maxsight is Moody's workflow platform for KYC compliance and third-party risk management. It enables organisations to onboard entities, run risk assessments, screen against sanctions, and make compliance decisions with a full audit trail. The platform was expanding beyond KYC into Supply Chain, Trade Credit, and Screening, but the existing product wasn't built for that.

Problem

The legacy UI was architected exclusively for single-application KYC workflows. It had a rigid IA, making it impossible to scale to new use cases. Navigation couldn't accommodate multiple workflows, the content choices created cognitive overload, and there was no focus on next actions. The product was organised around its own internal structure, not around what users were trying to do.

Research

I benchmarked workflow platforms with similarly complex structures, then conducted a thorough evaluation including a service blueprint of the existing product - documenting issues across navigation, feedback, consistency, and efficiency. This surfaced core patterns and pain points for myself and the team to act on.

Usability testing via Lyssna and a structured client feedback program validated designs in real environments throughout the project.

Miro based Service Blueprint
Service Blueprint on the legacy product

Ideate & Iterate

I proposed a fundamental restructuring of the information architecture - moving from a rigid hierarchy to a network model where items lived independently but were clearly linked. I introduced a modular content model for scalability and consistency.

Sketches, wireframes, and prototypes were iterated extensively with stakeholders, PMs, and engineering leads.

Miro based IA
Early ideas exploring a new information architecture

Refine & Deliver

Hi-fidelity Figma designs were paired with detailed interaction specs for engineering collaboration. I maintained a master set of design files covering the full platform, keeping them updated as scope evolved. I worked directly with front-end teams to review development and ensure design intent was preserved.

I also authored the UX Vision for AI in Maxsight, establishing principles for how AI chat and agent capabilities should be integrated into the platform.

🤖 I leveraged AI tools extensively to accelerate design communication during this project. Using Cursor and Figma's MCP, I built functional prototypes that demonstrated navigation patterns and interaction behaviours far more effectively than static mocks.

Hi-fidelity screens
Hi-fidelity prototype screens

Results

  • Platform expansion - The redesigned architecture successfully supports KYC, Supply Chain, Trade Credit, and Screening use cases on a single platform
  • Enterprise adoption - Major organisations including Amazon (AWS) entered structured pilot programs
  • V1.0 shipped on schedule - First major release delivered October 2025
  • AI-accelerated design workflow - Functional prototypes built with Cursor/Claude and programmatic design file generation via Figma MCP reduced iteration cycles and improved stakeholder alignment
  • Scalable UX foundation - The modular architecture provides a stable base for ongoing development, allowing new capabilities to build on top without architectural rework