Connect/AI  ·  Complete AI Stack
Mainframe AI Platform

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Connect/AI’s Complete AI Stack

Enterprise-Grade AI Inference, Driven Natively from z/OS — Where Your Data Lives

System-SSL + SAF Security No JVM Overhead No Data Movement Native z/OS

Your mainframe contains your most valuable business data and decades of proven logic. Moving it off-platform introduces risk, cost, and complexity.

Connect/AI is Data 21’s complete AI integration layer for z/OS — scheduled batch inference inside your existing JCL, and a browser-based agentic workspace for real-time work, against any model: mainframe-resident, your own local model, or a cloud provider like Claude, OpenAI, or Grok. It’s built on Connect/Web’s native z/OS HTTP foundation, and reaches into Connect/3270 to mine and act on live 3270 screen data — all without leaving the mainframe. Built on high-performance, z/OSMF-compatible access with no JVM layer, Connect/AI delivers a smaller footprint and lower overhead — all while fully leveraging native System-SSL and SAF security.

Connect/Web and Connect/3270 already ship with MCP API access and AI chat on their own — Connect/AI is what turns that connectivity into a full agentic stack: tool-use workspace and native batch agentic inference, from day one.

No risky data movement
No expensive replication
No core application changes

Connect/AI’s Complete AI Stack

Powerful Automation and Intelligent Workflows

Connect/AI reaches z/OS resources through Connect/Web’s native infrastructure, and mines live CICS, VTAM, and z/OS 3270 screen data through Connect/3270 — turning both into inference, agentic automation, and real-time decision support. With Connect/AI, you can:

Submit and monitor JES jobs directly via the MCP API, included with any license — Connect/AI adds native agentic execution
Access z/OS datasets and USS files through Connect/AI or automation pipelines
Navigate and interact with 3270 applications (CICS, IMS, TSO, monitoring tools, and more)
Capture and analyze live screen data in real time
Apply reasoning and business logic through natural language
Execute actions and complete transactions — with your approval gating every agentic write
Seamlessly combine traditional automation (REXX, Python, etc.) with advanced AI capabilities

All processing can remain securely on the mainframe, protected by native System-SSL encryption and SAF security controls — fully respecting data sovereignty and data gravity.

Supported Languages & Integration

Connect/AI REXX Python PHP Java

Key Benefits

Enterprise-grade security with native System-SSL and SAF integration
Superior performance with z/OSMF-compatible REST APIs and no JVM overhead
Broad language support — Connect/AI, REXX, Python, PHP, and Java
Ready-made MCP API access exposes JES and file system access to automation tools and your own agents, on any license — Connect/AI adds native agentic execution
Accelerate modernization without rewriting legacy applications or moving data
Dramatically reduce manual effort on repetitive 3270-based processes
Preserve batch SLAs with low-latency, on-platform inference
Interactive, browser-based AI workspace for real-time, agentic inference — no batch job required
Unlock the value of your existing mainframe investments with modern AI

Real-World Impact

Faster claims processing and exception handling

Intelligent operations and performance analysis

Automated policy reviews and customer service workflows

How Connect/MP Fits Your Stack

Connect/MP is designed to complement and extend IBM’s mainframe AI and modernization stack. While IBM provides powerful models, governance, and core services, Connect/MP delivers specialized native capabilities that help organizations operationalize AI more efficiently on z/OS.

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AspectConnect/AIIBM watsonx Assistant for ZIBM watsonx Code Assistant for Zz/OSMF + Zowe, including open-source MCPCloud AI or custom build
Primary purposeConnects z/OS to the AI model of your choice, in two modes: conversational chat only, or agentic with a Reason/Act/Observe loop and 3270 automationConversational and agentic assistant for IBM Z operationsAI for application development and modernization, such as COBOLAPIs and CLI for z/OS; an open-source MCP server lets AI agents work with jobs and datasetsVaries
Modes and agentic capabilityAI chat mode for questions and analysis, plus an agentic mode that can act. READ permits inference; UPDATE permits agentic actions. 3270 writes are approval-gated.Chat interface, plus an agentic framework and agent builder that lets agents reason, plan and actUnified agentic workflow for modernizationAgent supplied by the AI client; the server provides toolsVaries
Where the chat or agent runtime runsWebUI and JCL invocation on z/OSAn OpenShift cluster, built on the watsonx Orchestrate platform; also available on Linux on Z (s390x)Developer IDE (such as VS Code) connected to a watsonx.ai service, deployed on-premises or in a hybrid cloud; analysis and refactoring components run in Windows and Linux VMsOn the client or a container, connecting to z/OS over RESTCloud or your own infrastructure
Supported platformsz/OS; the Connect/MP suite is also supported on Linux x86, Windows and macOSOpenShift on x86 or Linux on Z (s390x); reaches z/OS through skills and servicesIDE on the developer workstation; supporting components on Windows and Linux VMs; works with z/OS source codez/OSMF on z/OS; Zowe CLI runs from Linux, macOS or Windows clientsCloud or your own infrastructure; the z/OS side varies
JVM or application server on z/OSNone required, for Connect/AI, the REST APIs (including the z/OSMF-compatible ones) or any other Connect/MP componentToken exchange for authorized access runs as a Liberty applicationNo z/OS component identified in the architecture reviewedz/OSMF dependency (Liberty-based)Varies
Model choiceAny: mainframe-resident (for example, Granite via vLLM on your own LPAR), local, or cloud (Claude, OpenAI, Grok)IBM Granite-based models; third-party model supportIBM-tuned modelsWhatever the connected AI client usesProvider-specific, or your choice
HardwareIBM mainframe running z/OS; no accelerator or other new hardware required; model hosting is your choiceIBM mainframe plus a separate OpenShift cluster (x86 or Linux on Z), or on-platform with the Spyre Accelerator, supported since 12 December 2025IBM mainframe for the z/OS applications, plus developer workstations, Windows and Linux VMs for supporting components, and infrastructure for the watsonx.ai serviceIBM mainframe running z/OS with z/OSMF, plus a client machineIBM mainframe plus cloud services or your own infrastructure for the model
Agentic 3270Yes, included with Connect/AI: mines 3270 screen data for AI inference and automates 3270 applications, with approval-gated writesNot identified in IBM material reviewedNot identifiedNot identified in the tool lists reviewedCustom screen scraping
MCP supportMCP-compatible and z/OSMF-compatible REST APIs for Files, JES and 3270Integration layer requiredMCP-based toolsetOpen-source Zowe MCP server, at an early stageClient-dependent
Security and authorizationSAF-based, with FACILITY-class READ and UPDATESAF-based access using token exchange and PassTicketsNone identifiedz/OSMF and SAF permissions; guardrails vary by MCP serverDepends on the build
Access methodsChat or agentic sessions in the WebUI, JCL step, shell, REST APIs (MCP- and z/OSMF-compatible), CLIChat interface in watsonx OrchestrateLikely IDE-basedAI client, such as an IDE or desktop assistantVaries
Pricing basisMIPS-tiered; OTC or subscription optionsQuote requiredRequest pricing from IBM or resellers; as-a-service is per userOpen source; infrastructure costConsumption or infrastructure
Best forConnecting any model to z/OS data, jobs and 3270 applications under existing SAF controls, from read-only chat through to approval-gated agentic actionsConversational operations support within IBM’s ecosystemApplication modernization and code understandingDevelopers and teams building their own agent workflowsMaximum custom control, or cloud-first strategies

Based on publicly available product information as of October 2026. Features and pricing change; confirm details with each vendor. Results vary by environment and configuration.

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