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DevOps use cases

Connecting Generative AI with real-time mainframe data - Use cases
Companies have a lot of data that has grown from its inception until today. Not all companies are able to know where the data is or how to find it? Connecting generative AI to mainframe data enables companies to find a needle in a haystack.
Enterprise Search

Most enterprise search and knowledge management tools do not natively support mainframe data. By connecting mainframe datasets to these tools, Geniez AI allows enterprises to finally achieve a single, unified search experience across all data sources — distributed and mainframe alike. This capability helps employees find answers faster, improves decision-making, and creates new value from data that was previously hidden.

Connecting Generative AI with real-time mainframe data - Use cases
Code Analysis

Many companies have decades-old mainframe systems with legacy programs (COBOL, PL/I) written by employees who have since retired. Generative AI can help by analyzing the code to understand dependencies and identify unused or critical modules. This is a crucial step for modernization projects. For example, a simple query on SMF data, such as “Use the SMF data to check which programs were executed in the period and which are not,” can quickly restore this understanding and "lost knowledge."

Connecting Generative AI with real-time mainframe data - Use cases
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Geniez AI

The enterprise framework for connecting LLMs and AI-agents to real-time mainframe data