Connect/AI  ·  Complete AI Stack
Mainframe AI Platform

Unlock Mainframe Intelligence
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 a chat-only workspace 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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Feature / Aspect Connect/AI (Complete Stack) IBM Traditional Stack (z/OSMF) IBM watsonx.ai (on Z) Cloud AI + Connector Custom / Open-Source
Native z/OS Execution Excellent — fully native binaries Good (JVM-based) Partial No Varies
Batch JCL Integration Excellent Limited Good Limited Manual
3270 Navigation & Agentic Flow Best-in-class — native structured screen mining + full agentic loop, approval-gated for writes Limited Limited / requires custom integration Limited (scraping) Custom
Agentic Capabilities Very strong — built-in reasoning + approval-gated 3270 actions Limited Strong (general agents) Good Limited
Web AI Agentic Workspace Yes — real-time, browser-based agentic AI console (native on z/OS) No native equivalent Yes (watsonx studio, cloud/hybrid) Yes (cloud consoles) Varies
Performance & Efficiency Superior: tens of MB footprint, no JVM/GC, low latency Higher overhead Higher overhead Network bound Varies
Security & Compliance Excellent — native SAF throughout Strong Strong Weaker Depends
Data Movement None for on-Z operations Minimal Minimal on-Z Required None (if on-Z)
Zero App Code Changes Yes — target application unchanged Often required Often required High effort High effort
Pricing Model MIPS-based, no toll fees Included in z/OS + Zowe Subscription + consumption Consumption Free + infra
Deployment Effort Low Medium–High Medium High Very high
Skills Required Low–Medium: e.g., JCL, REXX, basic prompt engineering Medium: JCL + web services / Java High: prompt engineering, AI/ML, integration High Very high: AI engineering + mainframe dev
Best For High-performance native agentic AI on files and live 3270 data with an interactive workspace General management & modernization Broad enterprise AI Hybrid/cloud Custom control

Comparison reflects typical deployment patterns as of 2026 and general industry positioning; specific results vary by environment and configuration.

Connect/AI  ·  Complete AI Stack  ·  Data 21

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Secure · Native · Intelligent · Sovereign · High-Performance

Data Sovereignty by Design. Built for the Mainframe.