Cloud Migration Intelligence | Migration Automation | Cutover Confidence
Stop Migrating Blind. Start Migrating with Certainty.
Most migrations fail on what wasn’t mapped, not what was planned. QyrusAI continuously assesses cloud-readiness, predicts the downstream impact of every move before it happens, and validates each workload automatically — so migration becomes a repeatable capability, not a high-risk event.
Challenges
The Migration Problem
Every Enterprise Knows.
Portfolios grow faster than anyone’s ability to track them. Discover how replacing static, assumption-driven assessments with continuous discovery and dependency intelligence turns rationalization from a one-time project into an ongoing discipline.
Readiness Assessed Once, Trusted Too Long
Cloud-readiness is evaluated at a single point in time, but the environment keeps changing — so the assessment is stale before the migration window even opens.
Validation That Happens Too Late
Performance and parity issues in the target environment are discovered after cutover, not before – when the cost of rollback is highest.
Hidden Interdependencies Break Cutovers
Undocumented connections between applications and infrastructure surface mid-migration, turning a planned move into an unplanned outage.
Orphaned Resources After the Move
Without continuous tracking through deploy and optimize, migrated workloads accumulate cost sprawl and unmanaged assets that no one is watching.
How it works
Discover Assess the Landscape. Deploy with Confidence.
Optimize Continuously. Retire Cleanly.
Explore how QyrusAI turns cloud migration from a discrete, high-risk project into a continuous, intelligence-driven lifecycle — from readiness scoring to safe decommissioning.
Know exactly what’s ready to move – and what isn’t.
QyrusAI auto-discovers infrastructure entities, configurations, and application interdependencies across the full estate, then scores workload cloud-readiness on a live dashboard. Critical, “noisy,” and fragile applications are flagged before they can disrupt a migration window.
Execute the move with impact predicted before a single workload is touched.
Migration Automation handles complex data and application movements through low-code/no-code workflows, while the Digital Twin simulates the cutover to surface downstream effects in advance. Auto-Validate and change management run alongside deployment to catch issues in real time, not after the fact.
Prevent cost sprawl the moment a workload lands.
Newly migrated resources are continuously tuned, with ML-driven capacity forecasting and Auto-Optimize keeping spend and performance aligned as the environment settles into its new state.
Decommission legacy footprints without leaving orphaned resources behind.
Once a migration is complete, Decommission Automation retires the legacy footprint, with automated impact analysis mitigating the risk of orphaned resources and knowledge retention preserving what mattered before the old system goes dark.
Know exactly what’s ready to move – and what isn’t.
QyrusAI auto-discovers infrastructure entities, configurations, and application interdependencies across the full estate, then scores workload cloud-readiness on a live dashboard. Critical, “noisy,” and fragile applications are flagged before they can disrupt a migration window.
Know exactly what’s ready to move – and what isn’t.
QyrusAI auto-discovers infrastructure entities, configurations, and application interdependencies across the full estate, then scores workload cloud-readiness on a live dashboard. Critical, “noisy,” and fragile applications are flagged before they can disrupt a migration window.
Execute the move with impact predicted before a single workload is touched.
Migration Automation handles complex data and application movements through low-code/no-code workflows, while the Digital Twin simulates the cutover to surface downstream effects in advance. Auto-Validate and change management run alongside deployment to catch issues in real time, not after the fact.
Execute the move with impact predicted before a single workload is touched.
Migration Automation handles complex data and application movements through low-code/no-code workflows, while the Digital Twin simulates the cutover to surface downstream effects in advance. Auto-Validate and change management run alongside deployment to catch issues in real time, not after the fact.
Prevent cost sprawl the moment a workload lands.
Newly migrated resources are continuously tuned, with ML-driven capacity forecasting and Auto-Optimize keeping spend and performance aligned as the environment settles into its new state.
Prevent cost sprawl the moment a workload lands.
Newly migrated resources are continuously tuned, with ML-driven capacity forecasting and Auto-Optimize keeping spend and performance aligned as the environment settles into its new state.
Decommission legacy footprints without leaving orphaned resources behind.
Once a migration is complete, Decommission Automation retires the legacy footprint, with automated impact analysis mitigating the risk of orphaned resources and knowledge retention preserving what mattered before the old system goes dark.
Decommission legacy footprints without leaving orphaned resources behind.
Once a migration is complete, Decommission Automation retires the legacy footprint, with automated impact analysis mitigating the risk of orphaned resources and knowledge retention preserving what mattered before the old system goes dark.
Core Features
Built to Turn Migration
Into a Repeatable Capability.
Stop treating every migration as a one-off, high-risk project. Discover how continuous discovery, impact prediction, and automated validation turn cloud migration into a controlled, data-validated process.
Cloud-Readiness Assessment
Continuously evaluates workload readiness and establishes the technical baseline for transformation- not a stale, point-in-time snapshot.
Dependency & Impact Mapping
Maps application interdependencies and uses the Digital Twin to predict the downstream effects of a move before it happens.
Migration Automation & Validation
Executes complex data and application movements through low-code/no-code workflows, with automated testing confirming performance and parity in the target environment.
Continuous Post-Migration Optimization
Applies resource tuning and ML-driven capacity forecasting to newly migrated workloads, preventing cost sprawl before it starts.
A GLIMPSE ON THE NUMBERS
Migrate Faster. Cut Risk. Prove the Business Case.
These aren’t projections — they’re the measurable result of replacing static, assumption-driven migration planning with continuous, dependency-aware intelligence.
25-
25
%
reduction in migration timelines
98
%+
migration success rate
99.99
%+
system uptime and
100% SLA adherence
20-
21
%
increase in change deployment frequency
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.
CUSTOMER TESTIMONIALS
Enterprises running the loop
in their own words.
Real Teams. Real Outcomes. Real Confidence in what ships next.
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
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
… 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
Dive into our latest research and implementation guides. See how continuous discovery, dependency intelligence, and knowledge retention turn portfolio rationalization into a self-funding modernization engine.
Blog
test automationTest Scripts
September 4, 2026 | 
14 min
How to Write Effective Test Scripts: A Straightforward Guide
Read More
SAP Test Automation ToolSAP Testing
September 4, 2026 | 12 min
SAP Test Automation: The Complete 2026 Guide
August 19, 2026 | 18 min
User Acceptance Testing Best Practices: A Complete UAT Strategy Guide for SAP Teams
Read More
Load More 
Case Study
September 17, 2025 | 5 min
From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation
Read More
Food and Beverages
June 27, 2025 | 5 min
AI-Powered Testing Transforms One of the Largest Beverage Companies
Read More
BFSI
June 20, 2025 | 8 min
150% Efficiency Boost for Banking Client Using Device Farm
July 13, 2026 | 1 min
Meet Qyrus at the BFSI Innovation & Technology Summit India 2026
April 6, 2026 | 3 min
Qyrus at QonfX Bangalore: AI Testing, Context Engineering & QA Innovation
March 23, 2026 | 3 min
STAREAST 2026: Joining the Quality Engineering Conversation in Orlando
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
August 12, 2026 | 2 min
Modernize SAP Before 2027 Without Letting Defects Reach Go-Live
June 29, 2026 | 3 min
Why UK Fintechs Are Making QA Central to Operational Resilience.
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
August 12, 2026 | 2 min
Modernize SAP Before 2027 Without Letting Defects Reach Go-Live
June 29, 2026 | 3 min
Why UK Fintechs Are Making QA Central to Operational Resilience.
Blog
test automationTest Scripts
September 4, 2026 | 14 min
How to Write Effective Test Scripts: A Straightforward Guide
Read More
SAP Test Automation ToolSAP Testing
September 4, 2026 | 12 min
SAP Test Automation: The Complete 2026 Guide
August 19, 2026 | 18 min
User Acceptance Testing Best Practices: A Complete UAT Strategy Guide for SAP Teams
Case Study
Case Study
September 17, 2025 | 5 min
From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation
Read More
Food and Beverages
June 27, 2025 | 5 min
AI-Powered Testing Transforms One of the Largest Beverage Companies
Read More
BFSI
June 20, 2025 | 8 min
150% Efficiency Boost for Banking Client Using Device Farm
Events
July 13, 2026 | 1 min
Meet Qyrus at the BFSI Innovation & Technology Summit India 2026
April 6, 2026 | 3 min
Qyrus at QonfX Bangalore: AI Testing, Context Engineering & QA Innovation
March 23, 2026 | 3 min
STAREAST 2026: Joining the Quality Engineering Conversation in Orlando
Reports
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
August 12, 2026 | 2 min
Modernize SAP Before 2027 Without Letting Defects Reach Go-Live
June 29, 2026 | 3 min
Why UK Fintechs Are Making QA Central to Operational Resilience.
Whitepaper
August 13, 2026 | 2 min
Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools
August 12, 2026 | 2 min
Modernize SAP Before 2027 Without Letting Defects Reach Go-Live
June 29, 2026 | 3 min
Why UK Fintechs Are Making QA Central to Operational Resilience.
FREQUENTLY ASKED QUESTIONS
Common Questions About QyrusAI Modernization
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor
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.
Does Qyrus Modernize work with SAP S/4HANA migrations?
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.
How long does the initial discovery scan take?
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.
Does it require agent installation on every system?
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.
What happens to the modernization plan if the estate changes while the programme is running?
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.
Does Qyrus Modernize integrate with Assure for testing?
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.
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.
Go Deeper on QyrusAI
Cloud Migration Intelligence.
Dive into our latest research and implementation guides. See how continuous discovery, impact prediction, and automated validation turn the “Code to Cloud” journey into a streamlined, repeatable competitive advantage.