Your infrastructure. Your perimeter.
Run ZEAP in your private cloud or on-premises, keeping test data and execution logs within your controlled environment.
BUILT FOR AGILE TEAMS
The AI that Tests Your Stack, From Mainframes to AI Agents
From mainframes and enterprise applications to APIs, data platforms and AI agents, ZEAP (Zyrix Enterprise Assurance Platform) connects the dots across your technology ecosystem to uncover failures that isolated testing misses. One platform for end-to-end testing, autonomous validation and release confidence.
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One Platform. Total Business assurance.
Validate business workflows across legacy systems and modern applications without stitching together brittle scripts.
Part of your pipeline. Built for every release.
Integrate ZEAP into your CI/CD workflows to validate changes and trace failures across connected systems before release.
The Problem
Your Business Runs on Many Systems. One Break Can Stop Them All
A single order moves across a storefront, CRM, ERP, warehouse management, billing, data platforms and AI agents. Every system can pass its own tests, yet the end-to-end business process can still fail.
The Regression Tax
Every release adds more tests to rerun.
The Integration Blind Spot
Every system passes. The workflow fails.
The Untested Agent
AI takes action. Nobody checks the outcome.
The Cost of a Miss
One hour of downtime can cost $300,000+.
Total Business Assurance
From Individual Tests to End-to-End Business Assurance
Validate complete workflows, catch failures across connected systems, and understand release impact before changes reach production.
360°Total Business Assurance
Always on
Every system. Every handoff. One clear view of whether your business is ready.
End-to-End Process Testing
One business process. Every system it touches.Test workflows like order-to-cash across mainframes, applications, APIs and data. Verify that every step delivers the expected business outcome.
Regression & Change Impact
Test what changed. Know what it affects.Identify impacted workflows and focus regression testing on the changes that matter for each release.
Data & Integration Validation
The handoff is where the risk hides.Catch data mismatches, broken interfaces and failed handoffs as information moves between connected systems.
Root Cause & Release Readiness
A failed test is the start of the investigation.Trace failures to their source, understand downstream impact and assess release readiness across critical workflows.
AI Agent Behaviour Validation
Validate every decision, verify every actionTest AI agents across real business scenarios, validating their decisions, tool usage, actions and responses against defined rules and expected business outcomes.
How ZEAP works
From testing to continuous business process assurance
ZEAP brings functional, API, data, synthetic test data and AI agent assurance into one connected platform.
Step 01 of 08
Start with what matters to the business.
Choose an application, a requirement or a whole workflow.
Why it matters
Testing can begin at a single application and extend to assurance of the complete business process.
zyrix
ZEAP · Enterprise Assurance Platform
Choose what to assure
Order-to-Cash5 systems · selected
Claims Processing4 systems
Customer Onboarding6 systems
Car Rental4 systems
Modelled workflow · Order-to-Cash
Web UIStorefront
APIOrder service
ERPSAP S/4HANA
CRMSalesforce
DataData warehouse
Expected business outcomes
- Order created with the correct price and tax
- Invoice posts in SAP and matches the order
- Revenue and customer record reconcile
Built from
- RequirementsLinked
- Existing test assetsImported
- Business knowledgeCaptured
AI-drafted validations67 drafts ready for review
AI-Assisted Test Generation24 UI & regression tests
API & Integration18 API checks
Data Validation Checks11 quality checks
Business-Rule Validation9 rule checks
Synthetic Test Data3 schema-aware sets
AI Agent Evaluations2 evaluation suites
Outcome: invoice matches the order
- UIPlace order with promo code
- APIPOST /orders returns priced order
- ERPInvoice posted with the same total
- DataWarehouse amount reconciles
Requirement coverage
- REQ-201 Price & taxCovered
- REQ-207 Invoice postingCovered
- REQ-214 Credit holdGap: no data check
- REQ-220 Returns refundGap: no API test
#1Web UIPlace order on storefrontRetries 2Passed
#2APICreate order · Order serviceRetries 2Passed
#3ERPPost invoice · SAP S/4HANARetries 2Passed
#4CRMUpdate account · SalesforceRetries 2Running
#5DataReconcile · Data warehouseRetries 2Queued
End-to-end business outcome
Order invoiced and reconciledComponents 3 of 5 passedOutcome pending
Review & accept healed locators2 of 2 steps left · 7 tests affected
5. Enter text into “Password”Accept
Locator changes
– //input[@id=’pwd’]
+ //input[@type=’password’]
6. Click on “Place order”Accept
Locator changes
– #btn-submit
+ //button[@data-test=’place-order’]
2 remainingCloseAccept selected
Change impact · release 4.2
- Pricing serviceAPI
- Checkout pageUI
- Tax rule tableData
Affects Order-to-Cash, Returns
Risk-based regression · run first
- Promo pricing end to endHigh risk
- Invoice tax calculationHigh risk
- Refund to original cardMedium
Prioritised 38 of 412 tests
RCA analysis resultJob 4.2-118 · invoice amount mismatch
1Root cause
2Priority fixes
- APIPOST /orders 201 · total 1,180.00OK
- ERPInvoice posted in SAP · total 1,180.00OK
- DataWarehouse total 1,179.99Mismatch
Root cause · data layer
82%Tax rounding in the warehouse transform differs from the ERP rule, so each invoice line can lose one cent after SAP posts correctly.
Recommended action
High
Align the warehouse rounding rule with the ERP (half-up, 2 decimals), then add an invoice-total check to the nightly pipeline.
Data insights6 connectionsType: All
OracleOrders ERP96 tables
SnowflakeFinance warehouse142 tables
BigQueryCustomer 36038 tables
Files · APIPartner feeds14 tables
Reconciliation · ERP → cloud data platformCompleteness ✓Correctness ✓Transform: 1 to review
| Table | Source rows | Target rows | Result |
|---|---|---|---|
| orders | 120,480 | 120,480 | Match |
| invoices | 98,112 | 98,110 | 2 rows missing |
| customers | 41,906 | 41,906 | Match |
Schema-aware synthetic data5,000 synthetic customers · credit-hold, multi-currency, returns
Claims triage agentGoal: route each claim to the right queue
Never approves a payoutDeclines out-of-scopeSchema-valid JSON
Evaluation · 20 repeated trialsModel v3 · prompt rev 12
- Response behaviourPass
- Tool-call executionPass
- Schema adherencePass
- Consistency across trials18 of 20
- Adversarial & out-of-scopePass
Re-evaluate when
Prompt changesModel updatesTool addedWorkflow changesRelease 4.2 Order-to-Cash 31 daysReady with 3 open risks
Validations1,240UI · API · data · AI
Passed1,21297.7% pass rate
Failed282.3% failure rate
Self-healed7awaiting review
Open risks3before release
Needs attention
- Warehouse tax roundingHigh
- 2 invoices not migratedHigh
Modernization assurance
Legacy billingModernized billing
46 of 48 critical functions match
Illustrative console with sample data. The walkthrough plays automatically; select any step or tag to explore.
Discover. Generate. Execute. Diagnose. Assure.
Common Workflows
See Zyrix Test a Real Business Workflow, End to End
Pick a workflow to see each system it crosses, what Zyrix validates at every step, and the kind of failure it catches.
Security & Compliance
Your Data. Your Infrastructure. Your Control.
Run ZEAP in your chosen environment, control access to sensitive data, and maintain traceable evidence across testing workflows.
Your cloud. Your rules.
Deploy on SaaS, private cloud or on-premises infrastructure to meet your operational requirements.
- Tenant-aware isolation
- Private model context
- Policy-controlled retention
01
Production data stays protected
Use encryption, PII masking and synthetic test data to control exposure of sensitive information.
02
Every connection has a control
Manage user permissions, SSO and access to connected systems through defined controls.
03
Every test leaves a trail.
Maintain traceable test runs and execution evidence to support audit and compliance reviews.
04
Your data stays yours
Customer data is never used to train shared AI models.
Case Studies
Results that Compound Across the Enterprise
Explore practical insights, customer stories, and expert guidance that help teams validate AI agents, improve quality, and scale reliable releases.
FAQs
Questions Answered With Your workflow in Mind
If the reference PDF does not contain specific questions, please review these architectural placeholders.
ZEAP, the Zyrix Enterprise Assurance Platform, is an end-to-end testing platform for enterprise systems and AI agents. It tests complete business workflows across every system they touch, from mainframes and ERP apps to APIs, data platforms and AI agents.
Mainframes (IBM z/OS, AS/400, green-screen apps), packaged apps like SAP, Salesforce and Oracle, web, mobile and desktop apps, REST and SOAP APIs, microservices, data platforms like Snowflake and Databricks, and AI agents.
ZEAP generates tests from the mapped workflow and your requirements, then runs them across UI, API and data layers in one orchestrated run.
It checks what an agent does, which tools it calls and whether the business outcome is correct, so agent behavior is tested the same repeatable way as the rest of your stack.
SaaS, private cloud or on-premises, so testing runs where your data and policies require.
No. Customer data is not used to train shared AI models.
Pick one business-critical workflow. We’ll connect your systems, map that workflow and show you results, then expand from there.
Start With One Workflow. See Every System It Touches
Bring your most critical business process. In 30 minutes, we’ll show you how ZEAP maps it, tests it end to end and tells you whether it’s ready to release.