Confidently wrong AI has a price tag, and in 2026, it's a line item. Your AI agent will never tell you it's wrong — it doesn't know it's wrong. It ships code and answers customers with total confidence, whether it's right or has just invented a refund policy that doesn't exist. Confidence isn't correctness, and an agent can't grade its own work. Failures look like green checkmarks — until a customer or regulator finds one. 99% of organizations deploying AI report losses, averaging $4.4M each. The fix: an independent layer that verifies agents before they reach customers, not after.
Kavya Nair
Director of Product Marketing
TestMu AI
With over a decade of experience in marketing and community building, Kavya Nair leads and strategizes multiple marketing verticals at TestMu AI, including community & DevRel marketing, partnerships, field events, and branding. At TestMu AI, she has gained valuable insights into quality engineering, recognizing the critical role that the community plays for testers. Collaborating with partners, testers, and community builders has provided her with a new perspective on the importance of quality.
In her previous role at Internshala, Kavya scaled marketing efforts that contributed to the growth of the edtech startup from 500k to over 10 million users. Her passion lies in fostering communities, promoting diversity and inclusion, and building initiatives from the ground up to drive growth, engagement, and brand awareness