The expertise your critical systems cannot afford to lose.
As your mainframe experts retire, zPersona’s AI keeps their knowledge working—so your business never stops.
From raw signal to trusted action.
Mainframe teams do not lack alerts. They lack a safe way to connect live signals with history, dependencies, runbooks, approvals and expert judgment.
Watch
Read live console activity, logs, events and documents inside the customer's chosen boundary.
Understand
Correlate signals into cases with customer-specific history, baselines, procedures and dependencies.
Recommend
Explain the evidence and suggest a bounded next step, with confidence and sources visible.
Act with approval
Route each action through deterministic policy, exact approvals and a complete audit trail.
One platform. Six domain experts.
Built on shared customer knowledge, operational memory, policy and audit. The product starts with zORA, zETA and zARA, then expands across the mainframe lifecycle. Use cases below are representative examples.
zORA Available now
Turns fragmented runbooks, tickets, logs and expert feedback into reviewed organizational memory and customer-specific Q&A.
zETA Available now
Groups noisy console messages into operational cases, explains impact with cited evidence and recommends a governed next step.
zARA Available now
Reasons across RACF and Top Secret findings, permissions and access risk, then guides or escalates changes under policy.
zENO Roadmap
Traces batch flows and abends, shows upstream and downstream impact and brings the right recovery playbook into one case.
zED Roadmap
Supports IPL, storage, subsystem and configuration work with evidence-backed plans adapted to the local environment.
zIVA Roadmap
Connects CICS, Db2, IMS and MQ symptoms with service impact, history and dependencies for shared investigation.
AI can advise. Policy holds authority.
Deterministic first
Facts, policy, execution and audit do not depend on a language model.
Evidence visible
Recommendations cite logs, cases, runbooks or other governed sources.
Safe boundaries
Read, recommend, approve, block or escalate according to risk and policy.
Deploy your way
On-prem appliance, customer-hosted or isolated hosted deployment.
Built for the operations floor.
Intelligent Mainframe Operations
People, evidence and governed AI assistance.
The zPersona Operating Model
Specialized AI team members across the lifecycle.
Built by people who understand mission-critical operations.
An AI-native Mainframe DevOps platform for organizations that cannot choose between resilience, expertise and control.
Our mission
Make critical systems easier and safer to operate as expert talent becomes scarce.
Our method
Start with knowledge and console operations, prove value under governance, then add Personas by priority.
Our partner model
Work with qualified partners and distributors on discovery, implementation and customer use cases.
The people behind zPersona.
A founding team with the buyer's lens, deep mainframe expertise and product execution, joined by commercial and financial leadership.
Dr. Ronen Yochpaz
35+ years in regulated financial-services IT and mainframe environments. Leads strategy, customers and commercial execution.
Magen Margalit
25+ years of experience as a C-level executive. Enterprise mainframe and core-platform leader in mission-critical IT and modernization. Leads product and architecture.
Roee Vulkan
ex-Boxee (cofounder, acquired by Samsung), ex-Meta. 30+ years in engineering leadership. Still hands-on.
Stuart Steinberg
28+ years building sales organizations and strategic partnerships across 20+ countries. Leads commercial expansion.
Roni Giladi
CPA with 30+ years in finance, including 18 years as CFO of Sapiens. Leads financial strategy.
Request a demo or get in touch.
Tell us about your environment and what you want to prove. We start with agreed success criteria and a focused use case, then move from offline learning to a read-only live pilot.