The Geniez GenAI Framework is designed to seamlessly connect cutting-edge Large Language Models (LLMs) and AI agents with real-time mainframe data sources and services. This integration empowers enterprises to unlock the full potential of their vast, critical mainframe data by enabling sophisticated AI-driven analysis, automation, and intelligent decision-making.
Real-time data access
Directly access mainframe data in real-time from AI applications using standard protocols
All data readily available
Access all mainframe data from any data source without having to set up complex ETL or CDC processes
Optimized for Mainframe
Leverage zIIP engines, Telum II and the Spyre accelerator to efficiently serve mainframe data from various data sources, including DB2, IMS, MQ, RACF, VSAM and COBOL-mapped data sets.
Security-first design
Built-in encryption, access tokens and mainframe-native access controls (such as RACF) ensure data security and compliance with industry standards
Intelligent data mapping
Automate the mapping of complex mainframe data structures to AI-friendly formats such as JSON, CSV, Parquet and others
Ease of use
A robust python SDK facilitates easy connection with popular LLMs and AI platforms without requiring deep mainframe skills
Leverage AI insights from both historical and real-time mainframe data to inform strategic and tactical decisions.
Impact Improved business outcomes and competitive advantage.
Power intelligent chatbots and personalized services with real-time mainframe data.
Impact Increased customer satisfaction and loyalty.
Rapidly develop and deploy new AI-powered applications leveraging existing mainframe assets without requiring deep mainframe skills.
Impact Accelerated digital transformation and market responsiveness.
Automate complex mainframe data integration tasks and processes using AI agents.
Impact Reduced manual effort, faster processing, and lower operational costs.
Avoid costly data migration projects and leverage zIIP engines to prolong the value of mainframe investments.
Impact Optimized IT budget allocation.
Key Benefits
Enhanced Decision Making
Leverage AI insights from both historical and real-time mainframe data to inform strategic and tactical decisions.
Impact Improved business outcomes and competitive advantage.
Customer Experience
Power intelligent chatbots and personalized services with real-time mainframe data.
Impact Increased customer satisfaction and loyalty.
Innovation & Agility
Rapidly develop and deploy new AI-powered applications leveraging existing mainframe assets without requiring deep mainframe skills.
Impact Accelerated digital transformation and market responsiveness.
Operational Efficiency
Automate complex mainframe data integration tasks and processes using AI agents.
Impact Reduced manual effort, faster processing, and lower operational costs.
Cost Savings
Avoid costly data migration projects and leverage zIIP engines to prolong the value of mainframe investments.
Impact Optimized IT budget allocation.
Support for Leading AI Providers
Use Cases
Enhancing customer experience and business decision making
Digital assistant / chatbot
AI agents accessing mainframe customer records in real-time for instant, personalized answers and support
Anomaly Detection
LLMs analyzing millions of transactions from mainframe applications to identify deviations and anomalous patterns
Financial advisors
AI agents collecting client data from multiple data sources, including the mainframe, and providing curated recommendations to clients
Innovation and operational efficiency
Training Models
Tap into decades of historical mainframe data such as customer transactions, mortgage payments, insurance claims and more stored in proprietary formats to bring your corporate knowledge into AI models.
Enterprise Search
Seamlessly search through mainframe data leveraging organization-wide knowledge without requiring deep understanding of mainframe applications and data structures
DevOps / IT Integration
Leveraging standard SDK to easily access mainframe data and include the main in the standard AI toolchain
Mainframe Modernization
Leverage LLMs to derive operational insights about mainframe application and data usage to reduce modernization efforts and shorten project timelines
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