About
A Senior UX Designer with 9+ years of experience designing complex digital products across enterprise, fintech, and data-driven platforms. I specialise in systems thinking, decision-centric UX, and scaling design practices that align user needs with business strategy. My work focuses on simplifying complexity, improving product adoption, and enabling cross-functional collaboration through research-backed design approaches. Alongside product design, I actively explore organisational change, AI-enabled workflows, and the evolving role of design leadership in modern teams. I am passionate about creating thoughtful, human centered experiences and contribute to conversations that push UX beyond interfaces into strategy, culture, and meaningful impact.
Talk details
The AI Was Wrong; Now What? Designing Recovery Into High Stakes AI
About this talk
What happens when AI gets it wrong and the user stops trusting it? In high stakes products, an incorrect answer is not always the biggest problem. Sometimes, the real failure begins after the mistake. This talk explores a question we often overlook when designing AI: When things go wrong, have we designed what happens next? Through a real-world story, we will look at why recovery deserves a place in the design process and what changes when we design not just for AI to succeed, but for the moments when it does not.
Key takeaway
- A new way to think about trust after AI makes a mistake—and why recovery deserves to be designed, not patched on later.
- A practical perspective on designing AI experiences that are honest about uncertainty while still helping users move forward.
- A shift in mindset: instead of asking only “How do we make AI right?”, start asking “What happens when it isn't?”
- A way to pressure-test high-stakes AI experiences by looking beyond accuracy—and considering what happens to the person, their confidence, and their next step when the system gets it wrong.