MODERNIZE + ASSURE
Change is no
longer a Choice
AI, automation, and obsolescence are forcing organizations to modernize faster and at greater scale. But the path is blocked by brittle systems, vanishing expertise, and the constant risk of breaking mission-critical operations. QyrusAI turns modernization from a risky one-time project into a continuous, AI-powered discipline.
Legacy code
Various coding standards. No documentation. Brittle test suites. Manual regression.
Codeless regression code base
Automatically tested. Continuously proved. Evidence by default.
The Weight of Complexity
The path to Modernization is blocked
by real, compounding obstacles.
Enterprise transformation rarely fails from a lack of vision; it stalls under the crushing weight of accumulated complexity. Every attempt to move forward forces teams to navigate a tangled web of interconnected risks.
Legacy Technology
01brittle, tightly-coupled systems that resist change and punish anyone who touches them without a full picture of what connects to what
Aging Workforce
02A shrinking pool of experts who hold critical tacit knowledge about how these systems actually work, and no mechanism to capture it before they leave
Poor or Missing Documentation
03Decades of undocumented logic and tribal knowledge that makes every modernization decision a guess
Technical Debt
04years of shortcuts and workarounds that make every change riskier and slower, with no reliable way to know what you're inheriting
Talent shortage
05A widening skills gap between legacy expertise and modern engineering practice; the people who built these systems are retiring faster than they can be replaced
Cost and Risk of Failure
06Modernization projects are expensive, slow, and prone to breaking mission-critical systems at the worst possible moment; most large-scale rewrites fail or stall
Regulatory and compliance pressure
07Modernization must happen without disrupting audit trails, controls, or compliance posture; regulated industries cannot afford a go-live incident
THE RESOLUTION
QyrusAI turns modernization from a risky, one-time project into a continuous
We help enterprises understand legacy systems, convert them with confidence, test every change automatically, and observe application health in real time. Teams modernize faster, break less, and operate autonomously.
Transform Complexity Into Confidence
From brittle legacy to continuously proved codeless
The transformation in plain terms.
Modernization is only truly successful if the resulting system is actually easier to maintain. See how moving from brittle, human-dependent processes to an AI-maintained ecosystem changes the reality of your daily operations.
Before
Legacy Code
- Inconsistent coding standards create architectural complexity
- Missing documentation leaves critical knowledge inaccessible
- Fragile Selenium tests require constant maintenance
- Manual regression testing slows every release
- Unknown dependencies increase production failure risks
- Critical knowledge remains locked with individuals
- Assumptions drive modernization decisions, not data
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
From Legacy Chaos to Continuous Certainty
Customer Journey Rail
In Practice
Walk through a real-world scenario where thousands of undocumented, brittle test scripts are seamlessly transformed into a modern, codeless regression suite. See how AI-driven analysis and automated conversion replace years of technical debt with continuous testing certainty.
- IT / Enterprise Architect Can Analyse legacy code architecture automatically — no documentation required
- QALead Can Generate a full regression suite from the analysed code base, without writing a single test from scratch
- Dev Team Can Convert 6,000+ Selenium scripts to codeless tests at scale — in the optimal sequence
- Compliance / Audit Can Get a full evidence trail for every conversion step — generated by the platform, not assembled by the team
Qyrus Ai Engine
6,000+ custom Selenium suites. Poorly documented. Multiple Java libraries, Excel dependencies. Code built by different developers over years.
IT / Enterprise Architect Can
Analyse legacy code architecture automatically — no documentation required
Modernize
Code Analysis
Model all Java classes, libraries, architecture
QALead Can
Generate a full regression suite from the analysed code base, without writing a single test from scratch
Modernize
Optimal Path
Figure out the optimal conversion sequence
Dev Team Can
Convert 6,000+ Selenium scripts to codeless tests at scale — in the optimal sequence
Assure
Codeless Convert
Convert 6,000+ Selenium scripts to codeless tests
Compliance / Audit Can
Get a full evidence trail for every conversion step — generated by the platform, not assembled by the team
Continuous
Code Analysis
Monitor the modernized suite, close the loop
THE UNLOCK: QyrusAI’s code analysis models the legacy test architecture; converts it to codeless. Conversion path validated. Evidence generated at every step — automatically, without a separate compliance workflow.
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Sense → Evaluate → Execute → Report – an autonomous AI-driven test orchestration framework that intelligently manages testing workflows.
One Intelligent Path From Code to Confidence
Two Disciplines
One unbroken outcome
True modernization requires both deep architectural intelligence and rigorous quality validation. By bridging the gap between system discovery and automated testing, every transformation is mapped out before it begins and proven before it deploys.
Modernization
Continuous Application Discovery
Automatically discover and continuously update the full application inventory across on-premise, cloud, and hybrid environments; no stale spreadsheets
Application Portfolio Intelligence (APR)
Analyse business value, usage frequency, and technical debt to generate a ranked modernization roadmap based on data, not opinion
Dependency Mapping
Visualise how applications connect across infrastructure, data, and business services before making any change; know the blast-radius before it happens
Business Impact Analysis
connect applications to the business services they support so modernization decisions reflect real operational priority, not IT convenience
Agentic AI Recommendations
AI-generated modernization recommendations with configurable human-in-the-loop review and approval gates at every decision point
ASSURE
AI-Powered Test Generation
SEER generates test cases from the code analysis output; 70–80% of coverage produced automatically, without manual test scripting (LegacyLeap AI, 2026)
Codeless Conversion of Selenium and Legacy Scripts
convert 6,000+ Selenium scripts or any scripted test asset to codeless tests using the optimal conversion sequence from Modernize
Self-Healing Test Scripts (Healer AI)
Test suites update themselves when the application changes; regression coverage never goes stale after a UI or API update
SEER Orchestration Framework
Sense → Evaluate → Execute → Report; plans and runs tests with full estate context from the Modernize knowledge graph
Equivalence Proof
prove that every modernized slice produces the same business outcomes as the legacy system it replaced; every test result is a named, evidence-backed record
A GLIMPSE ON THE NUMBERS
Modernize faster
Break less. Prove everything.
Exponential results are impossible with disconnected tools. When modernization and quality assurance share the exact same underlying knowledge graph, organizations unlock unprecedented speed, cost savings, and verifiable ROI.
Reduction in AMS / application management costs post-modernization
Reduction in testing time when Assure's SEER replaces manual regression cycles
Of test cases required for functional validation generated automatically by AI
ROI on test automation investment
Continuous testing. Continuous learning. Continuous value.
Join leading enterprises
driving the loop forward.
Resources
Explore our curated library of expert blog posts, in-depth whitepapers, and real-world case studies, designed to help you stay ahead in the world of AI-driven application lifecycle management.
Blog
August 19, 2026 | 
18 min
User Acceptance Testing Best Practices: A Complete UAT Strategy Guide for SAP Teams
Read More
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
Read More
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
Read More
Blog
August 19, 2026 | 18 min
User Acceptance Testing Best Practices: A Complete UAT Strategy Guide for SAP Teams
Read More
Case Study
Events
Reports
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
Read More
Whitepaper
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
Read More
FREQUENTLY ASKED QUESTIONS
Common questions about Modernize + Assure.
Whether you are trying to untangle decades of undocumented logic or wondering how to sequence your platform adoption, we have you covered. Explore exactly how Modernize and Assure adapt to the messy, real-world constraints of enterprise IT.
How is this different from a manual application assessment followed by a separate test automation project?
A traditional assessment produces a static inventory — a point-in-time snapshot that is outdated before the ink is dry. QyrusAI’s Continuous Application Discovery updates the inventory in real time. And the connection between the code analysis (Modernize) and the test generation (Assure) is not a handoff — it is a shared Knowledge Graph. The code analysis output is the direct input to SEER’s test generation. There is no translation step, no manual test design phase, and no re-discovery needed when the application changes. One analysis feeds both the transformation roadmap and the regression suite.
Do we need to adopt both Modernize and Assure together, or can we start with one?
You can start with either pillar independently. Modernize delivers standalone value — Estate X-Ray, dependency mapping, prioritization scoring. Assure delivers standalone value — codeless test generation, SEER orchestration, self-healing regression. But the joint value — converting legacy code and immediately generating a tested regression suite from the same code analysis — requires both. Most customers start with Assure (faster time to value, most immediate QA business case) and add Modernize once they have established testing confidence. SAP-facing customers often start with Modernize, where the blast-radius mapping is the most urgent need.
How does this handle undocumented legacy code — systems where nobody knows how they actually work?
This is specifically what Modernize’s code analysis is designed for. It reads the code itself — not the documentation — and constructs the dependency map from what is actually there: class hierarchies, library dependencies, integration points, API calls. It works in the complete absence of documentation by design. The messier the estate, the more value the analysis provides — because that is exactly the scenario where transformation decisions without a dependency map cause go-live failures.
What happens to our existing test assets — manual scripts, Selenium suites, spreadsheet-based test cases?
QyrusAI ingests and analyses them as inputs to the conversion. You do not lose historical test intelligence; it becomes the foundation for the new codeless suite. Selenium scripts are converted to codeless tests in the optimal sequence determined by the code analysis. Spreadsheet-based test cases are imported and converted. Manual test cases are used as context for AI test generation. What you end up with is a codeless regression suite that reflects everything your existing assets knew — and self-heals as the application changes.
What does "equivalence proof" actually mean — how do we know the modernized system does the same thing the legacy system did?
SEER’s equivalence testing runs the same business process through both the legacy system and the modernized system and compares the outputs. For SAP, this includes IDoc processing, BAPI calls, and Lead-to-Cash flows. For Java / desktop applications, it includes UI flows, API responses, and data outputs. The test results — pass or fail — are logged as evidence. If the modernized system produces a different outcome, the conversion fails at that stage and Modernize adjusts the conversion path. No release decision is made without evidence that the new system and the old system produce the same business result.
Our board is asking about AI governance — if AI is making conversion recommendations, how do we control what it does?
ANALYSTS’ REPORTS
Analysts Endorse Resources
Explore the independent reports and endorsements that affirm Qyrus’s position
as the transformative, all-in-one platform for modern software quality.
• STAY AHEAD, STAY IN THE LOOP.
Stop modernizing blindly
Start testing every change, automatically.
30-minute walkthrough with a solutions architect — we will map the Modernize + Assure workflow to your actual legacy estate and show you what a code analysis reveals about your specific environment.
