Architecture
A runtime between the transaction and the model.
ZInfer is being designed as a governed AI runtime for mainframe environments. Applications invoke ZInfer; the runtime handles context, policy, data controls, model routing, validation and audit — then returns a predictable structured response.
Design principles
RUNTIME ABSTRACTION
Applications invoke ZInfer, not a specific model or provider. The runtime interface stays stable while AI infrastructure evolves behind it.
GOVERNANCE IN THE PATH
Policy, identity and data controls are evaluated inside the request path — before any inference occurs, not as a separate afterthought.
PREDICTABLE CONTRACTS
Transactional applications receive validated, structured responses. Arbitrary model output never flows directly into application logic.
COMPLETE AUDITABILITY
Every request, policy decision, routing event and validation outcome is designed to leave a recorded trail.
The ZInfer Runtime
One runtime between your applications and AI.
ZInfer is not a direct wire from COBOL to a model API. Every request passes through a governed pipeline before inference — and a validated path back.
Mainframe Application
request initiatedCONTEXT
Transaction context prepared
POLICY
Enterprise AI policy evaluated
DATA CONTROL
Sensitive fields protected
MODEL ROUTING
Eligible model selected
INFERENCE
Request processed
VALIDATION
Response contract verified
AUDIT
Decision trail recorded
STRUCTURED RESPONSE
Application response prepared
Mainframe Application
AI wasn't designed for transaction systems.
Directly wiring decades-old application logic to rapidly changing AI models creates a fragile architecture. Every integration duplicates controls, couples business logic to a specific provider, and breaks when the model changes.
Today
- Tight coupling
- Provider dependencies
- Duplicated controls
- Inconsistent governance
- Changing APIs
- Model-specific application logic
With ZInfer
ZInfer becomes the stable runtime abstraction. Applications invoke one consistent interface — models, providers and controls evolve behind it.
From transaction to intelligence — and back.
01
INVOKE
The mainframe application invokes ZInfer.
02
GOVERN
ZInfer prepares context and evaluates enterprise policy.
03
INFER
The runtime selects an eligible AI model and processes the request.
04
RETURN
The response is validated and returned to the application in a predictable structure.
Models will change.
Your applications shouldn't have to.
ZInfer separates mainframe business logic from AI model infrastructure so organizations can evolve their AI strategy without repeatedly redesigning core applications.