When agentic AI works, it's extraordinary. When it fails, it often looks like it's still working.
Speaker
Gomathi Ramalingam, Director Product and Quality Engineering, SIMBA Chain Ltd
Agenda
6:30pm - Talk
7:30pm - Questions and Answers
7:45pm - Event ends
Synopsis
When agentic AI works, it's extraordinary. When it fails, it often looks like it's still working. No errors. No alerts. No clue.
Gomathi shares first-hand stories of autonomous agents that created their own failure conditions, bypassed security silently, and compounded small mistakes across multi-agent pipelines and this all while reporting clean traces.
This talk explores why agents amplify unknown unknowns in ways traditional software can't, and what you can practically do about it - probing reasoning traces, adversarial testing and building the habit of questioning what looks obvious.
You will leave with a framework for discovering the failures your dashboards won't show you.
About the speaker
Gomathi Ramalingam has spent over 20 years asking the question that matters most in software: "How do we know this actually works?" As Director of Product and Quality Engineering at SIMBA Chain, she leads delivery for blockchain solutions including NFT marketplaces and Digital Product Passports, while driving the adoption of agentic AI and LLMs across products, testing, and workflows.
Her career spans financial services, eCommerce, healthcare and retail, from a developer to a BA to a test analyst to directing global cross-functional teams. She believes the best quality engineering starts with the courage to question what everyone else assumes is working.
She's an international speaker and committee member with BCS SIGiST and BCS Cheltenham & Gloucester, and a community voice in Women in Blockchain Talks. Outside of work, you'll find her running marathons or chasing her next travel adventure.
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