VP QUALITY / QA LEAD / RELEASE MANAGER

Turn QA From the Release Bottleneck
Into the Release Accelerator.

Quality teams face a structural paradox: the faster development moves, the more testing is needed, but the team does not scale with the pipeline. Regression windows grow. Flaky scripts break coverage. AI-generated code arrives faster than manual review can absorb it. And DORA metrics show the change failure rate is the number nobody wants to talk about in the release retrospective.

QyrusAI gives quality, engineering, and release leaders a single agentic platform for web, mobile, API, SAP, and data testing — with tests that sense every change, heal themselves, and send production failures straight back into the regression suite.

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Fragmented tools. CMDB drift.

Too much run, not enough change. No single source of truth for the board.

One continuously-discovered estate.

AI-driven operations. Modernization sequenced from evidence. Board reporting by default.

LOREM IPSUM DOLORSIT. AMETARS.

Every Release Cycle, QA Is Asked to Do More — With the Same Team and a Shorter Window.

Developer output is accelerating, but QA headcount isn’t. Stop wasting sprint cycles on flaky scripts, fragmented tools, and manual triage. See how a unified, self-healing testing platform eliminates the release bottleneck and accelerates every deployment.

Testing is the critical path — —

the release waits on QA, not the other way around; every sprint review includes a conversation about whether QA will finish in time

Fragmented tooling across channels and technology stacks —

web testing, mobile testing, SAP testing, API testing, and data testing run on separate tools with separate teams and no shared coverage picture

Maintenance eats every coverage gain —

every UI change breaks scripts; every sprint introduces flaky tests that get quarantined rather than fixed; the quarantine list grows faster than the coverage list

AI-generated code is arriving faster than QA can absorb it —

developers using Copilot, Cursor, and similar tools are producing more code per sprint; the testing surface grows but the QA headcount does not

DORA metrics expose what QA already knows —

change failure rate and time-to-restore are the numbers that show up in engineering retrospectives; QA is blamed for the former and excluded from the latter

No production feedback into the test suite —

when something breaks in production, the knowledge usually stays in the incident ticket; the regression suite is not updated, and the same failure recurs

I cannot prove QA’s business value to leadership —

defect-escape economics, regression window duration, and coverage-per-FTE are the numbers QA leaders need to make a budget argument; most QA tools do not produce them

THE RESOLUTION

Turn QA from the release bottleneck into the release accelerator — one agentic platform for web, mobile, API, SAP and data, with tests that sense every change and heal themselves.

LOREM IPSUM DOLORSIT. AMETARS.

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The transformation table

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Before

Legacy Code

Various coding standards and styles
No documentation
Brittle test suites built on Selenium
Manual regression cycles taking weeks
Risk of breaking unknown dependencies
Knowledge locked in individuals, not systems

AFTER

Regression Code Base

Codeless business process tests
Automated test generation and execution
Self-healing test scripts (Healer AI)
Continuous regression coverage
Full dependency visibility before any change
AI-maintained, not person-dependent

LOREM IPSUM DOLORSIT. AMETARS.

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The Joint Motion Diagram

How Modernize + Assure Work in One Motion. Lorem Ipsum Dolor Sit Amet.
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IT / Enterprise Architect
Analyze legacy code architecture automatically
QALead
Generate a regression suite from the analyzed code base
Dev Team
Convert Selenium scripts to codeless tests at scale
Compliance / Audit
Get a test evidence trail for every conversion
CIO
Track modernization progress against a real-time roadmap

Qyrus Ai Engine

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Modernize

Code Analysis

Model all Java classes, libraries, architecture

Modernize

Code Analysis

Model all Java classes, libraries, architecture

Modernize

Code Analysis

Model all Java classes, libraries, architecture

Modernize

Code Analysis

Model all Java classes, libraries, architecture

THE UNLOCK: QyrusAI’s code analysis models the legacy test architecture; converts it to codeless. Conversion path validated.

LOREM IPSUM DOLORSIT. AMETARS.

Built for Quality, Engineering, and Release Leaders
Who Ship at AI Speed Without AI Risk.

Ship fast without compromising stability. Discover how SEER orchestration, self-healing AI scripts, and native DORA metric reporting turn your QA organization into an unstoppable release accelerator.

SEER Agentic Test Orchestration

Sense · Evaluate · Execute · Report. Risk-based test selection triggered by commits and changes, not a schedule. Parallel cloud execution. Full evidence at every stage. The orchestration layer that makes continuous testing operationally real.

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Multi-Modal Coverage (Web · Mobile · API · SAP · Data)

One platform replacing separate tools for every channel. Web (desktop + cross-browser), mobile (native iOS/Android + mobile web), REST and SOAP API, SAP and desktop applications, and data pipelines — all in one suite with one coverage report.

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AI Test Generation (TestPilot · TestGenerator · Rover)

TestPilot generates tests from application screens. TestGenerator transforms JIRA tickets and requirements into executable scenarios. Rover explores the application autonomously and identifies uncovered paths. 70–80% of coverage generated without manual scripting.

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Self-Healing Test Scripts (Healer AI)

Tests update themselves when the application changes. Element-level AI healing: when a locator breaks, Healer identifies the correct element from context. The quarantine list shrinks instead of growing. Maintenance burden is structural — not a people problem.

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Browser Farm + Device Farm

Real devices and browsers available instantly in the cloud. Zero infrastructure setup or maintenance. Cross-platform financial application testing on the actual hardware users run. Full visual testing and screenshot capture included.

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Two disciplines. One outcome.

Neither pillar can do this alone. Modernize knows what the code is. Assure knows how to test it. Together, they convert legacy architecture into verified, continuously-tested codeless suites — without breaking anything along the way.