Automated, All-In-One Software Testing Solutions

CIO / HEAD OF IT

Drive Visibility, Control, and Transformation Across Enterprise IT

Most enterprise IT functions are stuck in a paradox: too much time keeping systems running, not enough time driving transformation — and leadership asking for both simultaneously. The problem is not ambition. It is the absence of a single, continuously-updated picture of what you actually have, what it costs, what it connects to, and what it is safe to change.

QyrusAI gives CIOs and transformation leaders the AI-native platform to understand their estate, modernize it with confidence, and run it without firefighting — on one platform, with one shared knowledge graph across every pillar.

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.

The CIO Paradox: Every Leadership Mandate Requires the Visibility You Don't Yet Have.

Executive mandates demand total visibility, but fragmented hybrid estates leave leaders flying blind. Discover how an AI-native platform eliminates tool sprawl, maps invisible dependencies, and unifies application discovery, testing, and operations into a single strategic engine.

No single source of truth across a fragmented hybrid estate

CMDBs are maintained by FTEs and are outdated by design; architects draw different dependency maps for the same application

Too much engineering capacity going to run, not change

The ratio of effort between keeping systems running versus driving transformation is the CIO's defining problem, yet most organisations cannot measure it precisely

Growing complexity and rising technical debt becoming board-level risk

legacy systems accumulate debt faster than transformation programs can clear it; the business case for modernization is hard to make without evidence

Pressure to adopt AI responsibly while keeping governance and trust

Enterprise AI rollouts have outrun their controls; the board wants AI progress and the regulator wants proof of governance

Tool sprawl inflating cost, integration effort and vendor risk

The average enterprise runs 2+ monitoring tools, 3+ testing tools, and multiple EA repositories; none of them share context

M&A and carve-out estate integration

Nobody knows what the combined estate contains until something breaks; discovery is always reactive, never planned

Business service reliability as a board metric (COO / Business Service Owner angle)

IT dashboards show green while customer-facing business processes are silently degrading; the COO finds out from a customer complaint, not a dashboard

THE RESOLUTION

One AI-native platform for your entire application lifecycle from understanding what you have today, to modernizing it, assuring every release, and operating it intelligently tomorrow."

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.

What QyrusAI Gives the CIO That No Single- Pillar Tool Can

Replace fragmented monitoring, testing, and EA tools with a single AI-native platform. Explore how real-time dependency mapping, change simulation, and automated governance give CIOs total control over cost, complexity, and transformation.

Enterprise Knowledge Graph

A single, always-current model of every application, dependency, business service, transaction, and cost line. Not maintained by FTEs — observed in real time. Every pillar reads from it and writes back to it. The graph is the product.

Application Discovery & Dependency Mapping

Intelligent Twin & Change Simulation

AI-Driven Operations & Run Cost Reduction

Application Rationalization & Portfolio Intelligence

AI Governance & SEER Guardrails

Toolchain Consolidation

Application Discovery & Dependency Mapping

LOREM IPSUM DOLORSIT. AMETARS.

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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.