Radar - Finding Risks Early

Aylien – Radar Platform Design

Radar was Aylien’s flagship AI-powered platform for real-time financial event monitoring, used by global banks, asset managers, and risk teams to track and act on market-moving news. I led the end-to-end design of the platform from early concept and prototyping through to enterprise adoption, focusing on clarity, trust in AI-generated insights, and usability in high-pressure decision environments.

The Strategic Challenge

Radar needed to surface high-signal events from vast, fast-moving data streams and make them actionable for different user roles, from risk analysts to executive stakeholders. The core challenge was not visual polish, but building confidence in AI-driven insights, supporting rapid decision-making, and scaling the experience across complex enterprise contexts.

My Role

As Product Design Lead, I owned the product experience and design direction for Radar, working closely with engineering, data science, and commercial teams.

• Designed core workflows and interaction patterns that translated complex AI outputs into clear, defensible decisions

• Shaped information architecture and role-based experiences for analysts, compliance teams, and executives

• Partnered with leadership to align product direction with enterprise risk and compliance needs

• Led hands-on design while establishing lightweight design practices to support scale and consistency

Outcomes

• Adopted by 30+ banks and financial organisations during alpha and beta phases

• Directly supported enterprise sales, including Tier 1 banking clients

• Awarded Most Disruptive Fintech at the Deloitte Financial Services Innovation Awards (2021)
  

Why It Matters

Radar was a trust-critical system. Its success depended on users believing, understanding, and acting on AI-generated signals in time-sensitive, high-stakes contexts. This work required balancing hands-on design with careful judgment around transparency, cognitive load, and risk.

This case reflects how I approach complex AI systems: designing for clarity under pressure, enabling confident decision-making, and ensuring that advanced technology earns user trust.