4 AI Use Circumstances for CICS Groups
In-Transaction Inference – Executing predictive AI fashions straight inside CICS transaction flows utilizing structured utility knowledge. Fashions are invoked synchronously throughout transaction processing to return scores or choices reminiscent of fraud threat, eligibility, or anomaly detection, with out introducing exterior latency or shifting knowledge off the platform.
Software Workflow Integration – Integrating AI fashions and brokers with CICS providers via standardized interfaces reminiscent of REST APIs and Mannequin Context Protocol endpoints. This allows AI methods to find out there CICS capabilities, retrieve and enrich knowledge from VSAM and Db2, and take part in multi-step enterprise workflows alongside current purposes.
Developer Productiveness – Making use of AI fashions which can be skilled and fine-tuned for COBOL, CICS, and z/OS to assist utility discovery, code evaluation, refactoring, check technology, and validation. These capabilities deal with limitations of generic fashions by accounting for mainframe-specific syntax, tokenization, and execution patterns.
Operations Automation – Utilizing agent-based AI methods to assist operational duties reminiscent of downside willpower, diagnostics, and system administration. These brokers work together with dwell CICS areas and associated subsystems, collect runtime knowledge, consider system state, and supply actionable suggestions whereas sustaining auditability and safety controls.
