100% Reliable AI for Enterprise? How PromptQL Is Doing It - Imagine AI Live 25 - E118

Episode Overview

How can enterprises achieve 100% reliable and accurate AI without the risk of hallucinations? Anushrut Gupta, who leads applied research for PromptQL at Hasura, joins host Chris Madden in this live pop-up podcast from Imagine AI Live 25 to reveal how they are tackling one of the biggest challenges in AI implementation today: reliable data access. He explains that the fundamental problem isn't the AI model itself, but its inability to securely and accurately interact with complex, siloed enterprise data sources.

This episode provides a masterclass in the next generation of enterprise AI architecture. Anushrut breaks down PromptQL's core innovation: decoupling AI-driven planning from deterministic query execution. This unique approach uses the AI to create a strategy for finding an answer but relies on code to execute it, effectively eliminating hallucinations and ensuring data integrity. He also introduces the concept of an "agentic semantic layer"—a self-learning system that understands the specific language and tribal knowledge of your business, becoming more intelligent and context-aware with every interaction.

For business leaders and AI practitioners, this conversation is packed with tangible value. Anushrut walks through a real-world use case with a Fortune 50 company, demonstrating how PromptQL unified disparate sales data to create a cohesive strategy and improve forecasting. He details the platform's practical advantages, including a rapid two-week proof-of-concept timeline and flexible access via a UI, a standard API, and a powerful "Programs API" for automating complex workflows. This is a must-listen for anyone looking to move beyond AI experimentation and build scalable, trustworthy AI solutions that drive real business outcomes.