Qyrus Named a Leader in The Forrester WaveTM: Autonomous Testing Platforms, Q4 2025 – Read More

 Application Discovery  ·  Dependency Mapping  ·  Legacy Modernization

Know It Before You Change It.

Most modernization projects fail not because the technology was wrong, but because the estate was never fully understood. QyrusAI Modernization AI continuously discovers every application, maps every dependency, and scores every modernization decision against real operational data – so you transform with confidence, not guesswork.

Challenge

The Modernization Problem
Every Enterprise Knows.

It's not about execution. It's about clarity.
Most organizations modernize without truly understanding what they have, what's connected, and what should actually be modernized.

Hidden Dependencies

Every enterprise has applications no one fully understands — systems built over decades, dependencies documented nowhere, and blast radius unknown until something breaks at go-live.

 

Transformation Without Evidence

Modernization roadmaps are built on spreadsheets, consultant assessments, and assumptions. When wave 1 executes, the surprises arrive — because the dependency map was never observed.

Legacy Knowledge Loss

The people who know how your legacy systems actually work are retiring. When they leave, the tacit knowledge goes with them - and no CMDB, documentation, or consulting engagement can recover it.

Technical Debt as an Invisible Tax

Every year of deferred modernization adds complexity, security risk, and run cost. But without a scored, dependency-aware view of the portfolio, it is impossible to know which debt is costing the most.

How it works

Modernize — Bridge Sentence

Here is how Qyrus Modernization AI addresses each of these — starting from a continuously observed picture of your estate, not a point-in-time survey.

Continuously discover your full IT estate — automatically.

QyrusAI reads your environment in real time — applications, APIs, data flows, infrastructure, and business services. No agent installation on every system. No manual inventory. The estate is observed, not surveyed — which means it stays current as your systems change.

  •   Discovers on-premise, cloud, hybrid, and SaaS environments from one platform
  •   Maps every application to the business service it supports and the infrastructure it depends on
  •   Detects shadow IT, undocumented systems, and CMDB drift automatically

Understand what connects to what — before you touch anything

Every dependency between applications, APIs, databases, and business services is mapped and scored. Blast-radius analysis shows exactly which downstream systems are affected by any proposed change — so your architects work from observed reality, not drawn assumptions.

  •   Application-to-application, application-to-infrastructure, and application-to-business-service dependency mapping
  •   Blast-radius scoring: confidence level, criticality, and number of downstream consumers per change
  •   Intelligent Twin simulation: model the impact of any change before it runs in production

Score your modernization portfolio from evidence — not a Gantt chart

Every application in your estate is scored by a composite of run cost, technical debt, business value, and dependency risk. The highest-cost, highest-risk applications surface to the top. The wave plan is sequenced from the dependency map — not from political priority or consultant recommendation.

  •   Application Rationalization: retire, re-platform, or renegotiate — with dependency evidence behind every decision
  •   Technical Debt Analysis: scored per application against business risk and operational cost
  •   Cloud Migration Intelligence: sequence your cloud migration waves from observed dependency data, not from a migration assessment spreadsheet

Execute each modernization slice — validated, sequenced, and safe.

QyrusAI converts legacy code, transforms data models, and re-platforms applications in the optimal sequence determined by the dependency map. Every slice is validated against the same business processes the legacy system ran — equivalence proof before any release decision is made.

  •   Optimal conversion path intelligence: figure out what to modernize first, what to retire, what to retain
  •   Legacy code conversion for standard programming languages with context from the Knowledge Graph
  •   Every converted slice tested for equivalence by Assure before it enters production

Core Features

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Built to Handle
Full Complexity of Enterprise Modernization.

Continuous Application Discovery

Auto-discovers your full IT estate in real time — no manual inventory, no stale spreadsheet. Finds what your CMDB has missed.

Dependency Mapping

Maps every application-to-application, API, and business-service dependency. Produces a blast-radius score before any change is approved.

Application Rationalization

Scores every application by run cost, technical debt, business value, and dependency risk. Identifies what to retire, re-platform, or renegotiate — with evidence.

Technical Debt Analysis

Quantifies technical debt per application against operational cost and security risk. Makes the business case for modernization from data, not gut feel

Cloud Migration Intelligence

Sequences cloud migration waves from observed dependency data. Prevents cascade failures from undiscovered cross-system connections.

Intelligent Twin

Simulates the impact of any planned change in a digital twin before it runs in production. The blast-radius check that prevents go-live incidents.

Legacy Code Conversion

Converts legacy code in the optimal sequence determined by the dependency map. Context-aware conversion that understands what the code does, not just what it says.

Knowledge Graph (shared layer)

A continuously-observed model of every application, dependency, business service, and cost line in your estate. Every pillar reads from it. Every action writes back to it.

A GLIMPSE ON THE NUMBERS

Outcomes & Benefits

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incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud.

90- 0 %

IT estate visible on first discovery

10 - %

Run cost reduction — capacity for change

30- 0 %

Lower migration volume with Phase Zero

2- 0 X

Faster modernization programme execution

Continuous testing. Continuous learning. Continuous value.

Join leading enterprises
driving the loop forward.

Integration

Works With Your Existing Enterprise Stack.

QyrusAI Modernize connects to your existing tools — CMDBs, ITSM platforms, cloud providers, and enterprise architecture repositories — so discovery enriches the tools you already use rather than replacing them.

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CUSTOMER TESTIMONIALS

Enterprises running the loop
in their own words.

Real Teams. Real Outcomes. Real Confidence in what ships next.
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Shawbrook Bank

Qyrus not only supports the testing of our Web, Mobile, and API components as part of our CI/CD processes, but also in ongoing regression-testing across our partner ecosystem. The real power of Qyrus is that we have this extremely broad testing capability in one tool, run in the cloud, and reusable across all our development teams.

Shawbrook Bank
Subaru

The transition to Qyrus has marked a significant turning point for us. By embracing automation, we not only streamlined our SAP test automation process but also achieved a remarkable reduction in overall project testing time by 40%.

Subaru
Monument

... the Qyrus platform have been a great addition to Monument's product delivery capabilities. Within a few months, we have been able to create a comprehensive test suite of complex end-to-end test scenarios spanning multiple platforms and channels. The Quinnox team has helped us embed the Qyrus solution, and the supporting processes around it, into our agile delivery methodology.

Monument

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.

August 19, 2026 | 18 min

User Acceptance Testing Best Practices: A Complete UAT Strategy Guide for SAP Teams

Read More
SAP UAT Test Cases Templates, Examples & Design Best Practices-Thumnail

August 6, 2026 | 14 min

SAP UAT Test Cases: Templates, Examples & Design Best Practices

Read More

July 27, 2026 | 10 min

SAP IBP Testing: A Practical Guide for QA and Planning Teams

Read More
coca-cola bottler case study
Case Study

September 17, 2025 | 5 min

From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation 

Read More
CCEP Case Study
Food and Beverages

June 27, 2025 | 5 min

AI-Powered Testing Transforms One of the Largest Beverage Companies

Read More
Banking Digital Transformation
BFSI

June 20, 2025 | 8 min

150% Efficiency Boost for Banking Client Using Device Farm 

Read More
BFSI Mumbai, 2026

July 13, 2026 | 1 min

Meet Qyrus at the BFSI Innovation & Technology Summit India 2026

Read More
QonfX-BLR-2026

April 6, 2026 | 3 min

Qyrus at QonfX Bangalore: AI Testing, Context Engineering & QA Innovation

Read More
Stareast 2026

March 23, 2026 | 3 min

STAREAST 2026: Joining the Quality Engineering Conversation in Orlando

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More
THE 2027 FORCING FUNCTION White Paper Featured Image

August 12, 2026 | 2 min

Modernize SAP Before 2027 Without Letting Defects Reach Go-Live

Read More
Qyrus_UK_Fintech_Whitepaper_1 1

June 29, 2026 | 3 min

Why UK Fintechs Are Making QA Central to Operational Resilience.

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More
THE 2027 FORCING FUNCTION White Paper Featured Image

August 12, 2026 | 2 min

Modernize SAP Before 2027 Without Letting Defects Reach Go-Live

Read More
Qyrus_UK_Fintech_Whitepaper_1 1

June 29, 2026 | 3 min

Why UK Fintechs Are Making QA Central to Operational Resilience.

Read More

Blog

August 19, 2026 | 18 min

User Acceptance Testing Best Practices: A Complete UAT Strategy Guide for SAP Teams

Read More
SAP UAT Test Cases Templates, Examples & Design Best Practices-Thumnail

August 6, 2026 | 14 min

SAP UAT Test Cases: Templates, Examples & Design Best Practices

Read More

July 27, 2026 | 10 min

SAP IBP Testing: A Practical Guide for QA and Planning Teams

Read More

coca-cola bottler case study
Case Study

September 17, 2025 | 5 min

From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation 

Read More
CCEP Case Study
Food and Beverages

June 27, 2025 | 5 min

AI-Powered Testing Transforms One of the Largest Beverage Companies

Read More
Banking Digital Transformation
BFSI

June 20, 2025 | 8 min

150% Efficiency Boost for Banking Client Using Device Farm 

Read More

BFSI Mumbai, 2026

July 13, 2026 | 1 min

Meet Qyrus at the BFSI Innovation & Technology Summit India 2026

Read More
QonfX-BLR-2026

April 6, 2026 | 3 min

Qyrus at QonfX Bangalore: AI Testing, Context Engineering & QA Innovation

Read More
Stareast 2026

March 23, 2026 | 3 min

STAREAST 2026: Joining the Quality Engineering Conversation in Orlando

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More
THE 2027 FORCING FUNCTION White Paper Featured Image

August 12, 2026 | 2 min

Modernize SAP Before 2027 Without Letting Defects Reach Go-Live

Read More
Qyrus_UK_Fintech_Whitepaper_1 1

June 29, 2026 | 3 min

Why UK Fintechs Are Making QA Central to Operational Resilience.

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More
THE 2027 FORCING FUNCTION White Paper Featured Image

August 12, 2026 | 2 min

Modernize SAP Before 2027 Without Letting Defects Reach Go-Live

Read More
Qyrus_UK_Fintech_Whitepaper_1 1

June 29, 2026 | 3 min

Why UK Fintechs Are Making QA Central to Operational Resilience.

Read More

 FREQUENTLY ASKED QUESTIONS

Common Questions About QyrusAI Modernization

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incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud.

How is this different from a CMDB or an EA repository like LeanIX?
A CMDB is maintained by FTEs and is outdated within days of any infrastructure change. LeanIX and similar repositories are populated by surveys — they capture what people say is true, not what the system is actually doing. QyrusAI discovers your estate by observing it in real time: reading APIs, data flows, system calls, and infrastructure events. The graph stays current because it is updated continuously, not because someone remembers to update a ticket. The moment your CMDB says a dependency does not exist, QyrusAI’s observed graph is the source of truth. 

Yes — and SAP migrations are one of the highest-urgency use cases. QyrusAI reads your SAP environment in read-only mode, inventories all RFCs, IDocs, OData services, SOAP connections, CPI integrations, background jobs, and Z-objects, and produces a blast-radius score for every proposed S/4HANA change. The Estate X-Ray and Phase Zero governance workflow are specifically designed for ECC-to-S/4HANA programmes with fixed cutover dates.

The first scan of a mid-market estate (200–400 applications) typically produces an initial topology map within 48–72 hours. The map enriches continuously from that point — adding confidence detail, business-service attribution, and dependency validation as more signals are observed. A Phase Zero engagement (discovery, dependency mapping, and modernization prioritization) is typically scoped at 4–6 weeks.

No. QyrusAI reads from APIs, connectors, log streams, and cloud provider metadata — it does not require an agent on every application or server. For some legacy on-premise environments a lightweight collector may be deployed, but this is scoped per engagement and never required across the full estate before value is delivered.

The Knowledge Graph is continuously updated. If a new application is deployed, a dependency changes, or a system is decommissioned mid-programme, the change is reflected in the graph and the modernization wave plan is re-scored automatically. Your transformation plan is always based on the current estate, not the estate as it was when the programme started.

Yes — this is the core joint value of the two pillars. Every modernization slice Modernize produces is automatically handed to Assure for equivalence testing. Assure generates test cases from the code analysis output, runs them against the modernized slice, and produces an evidence record before any release decision is made. The conversion is never marked complete until Assure has proved it works.

• STAY AHEAD, STAY IN THE LOOP •

See Your Estate the Way It Actually Is enterprise
Not the Way Anyone Thinks It Is.

30-minute walkthrough with a solutions architect
we will show you what the dependency map looks like for your environment, and what a Phase Zero discovery engagement would deliver.