Kaushal Kurapati – QonfX San Francisco 2026 Speaker

Engineering Trust in Agentic AI

Abstract

As enterprises move from deterministic software to autonomous AI agents, traditional testing models are no longer sufficient. Agentic systems reason, plan, and act across applications — introducing non-determinism, emergent behaviors, and new categories of risk.

In this keynote, Kaushal Kurapati, who leads AI Agents platform initiatives at Oracle, explores how quality engineering must evolve from test automation to autonomous assurance. He will outline a new enterprise framework for validating AI agents — spanning model reliability, reasoning traceability, guardrails, governance, and runtime controls — and discuss how QA leaders can redefine their role in an era where intelligence itself must be governed.

 

Key Takeaways

1. Innovation creates noise, making obvious truths harder to see.

2. Question if a problem really needs GenAI or if existing tools suffice.

3. Understand GenAI’s true value beyond the hype.

4. Old and new solutions should complement, not replace, each other.

5. A real-world case study shows how GenAI can be used effectively.

6. Clarity comes from cutting through illusions and embracing simplicity.

About Speaker

SF Kaushal

Kaushal Kurapati

Group Vice President of Products

Kaushal is a Group Vice President of Products at Oracle, leading Fusion AI Agent Studio and the Agents Platform. He is a product executive whose career has been spent in AI and Data spanning Agentic & Generative AI, Customer Data Platforms (CDP), Search, and Personalization. Recently he has been an SVP of Product Management at Salesforce responsible for their Generative AI platform stack and Search initiatives, powering Agentforce. At Salesforce he took the GenAI platform from 0 to 1, building foundational capabilities in the LLM layer, Responsible AI and Agent guardrails, Agentic quality benchmarks, vector search, and low/no code tools for the entire AI stack. Kaushal is a boomerang to Oracle, having led a large global team (~400) of PM, Engineering and Data Science groups overseeing Customer Data Platform (CDP) and Personalization products. Prior to that he was at MasterCard where he built a personalized card-linked offers platform allowing merchants to target cardholders based on past user transaction behavior. Kaushal spent a decade in Search across Yahoo and Ask Jeeves, responsible for web and multimedia search and many NLP based question-answer Search products. Early in his career he developed recommender systems for TV, embedding machine learning algorithms into consumer set-top boxes while at Philips Electronics Research in New York. Kaushal holds 25+ patents issued to-date. He has won many awards, including the Yahoo Founders Award (Super Star) and the Distinguished Alumni Award from the University of Delaware.

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Topic details coming soon..

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