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

 Application Discovery  ·  Dependency Mapping  ·  Legacy Modernization

Software Asset Management That Gives You Complete Control Over Every License, Device, and SaaS Subscription.

QyrusAI uses continuous discovery, real-time usage intelligence, and Agentic AI to transform software asset management from passive tracking into proactive optimization.

  • Discover Every Software Asset Continuously identify software licenses, SaaS applications, cloud services, and shadow IT across your enterprise from a single source of truth.
  • Reduce Software Spend by Eliminating Waste Find unused licenses, duplicate applications, and underutilized subscriptions before renewals impact your budget.
  • Stay Audit-Ready with Real-Time Compliance Track software usage, ownership, and licensing obligations continuously to reduce vendor audit risk and compliance exposure.

Challenges

Do you actually know what you're using
and what you're wasting?

Today's enterprise environments are dynamic, distributed, and constantly changing. Software now exists across SaaS platforms, cloud environments, containers, virtual machines, and shadow IT ecosystems that conventional tools struggle to discover. The consequences:

Silent Software Waste

Unused and underutilized licenses quietly drain software budgets month after month.

Poor Renewal Decisions

Teams negotiate contracts and renew licenses without understanding actual software usage.

Hidden Compliance Exposure

Incomplete inventories create significant financial and legal risk during vendor audits.

Shadow IT Growth

Departments adopt SaaS applications outside approved procurement channels, creating governance challenges.

How it works

From tracking assets to
business-aware optimization.

Leading enterprises are rethinking SAM. They are no longer asking, “What licenses do we own?” They are asking, “What should we keep, optimize, or eliminate based on actual business impact?”

QyrusAI shifts your approach across three dimensions:

We replace periodic scans with real-time discovery across cloud, on-prem, SaaS, and container environments.

We don’t just list inventory. We connect software to specific users, infrastructure, and business services so you understand how it is used.

We move from manual analysis to automated action—reclaiming licenses and optimizing renewals automatically.

Core Features

Qyrus iAM for SAM:
The engine for autonomous optimization.

Even with better visibility, acting on insights quickly and consistently is a challenge for manual teams. QyrusAI solves this by combining deep discovery with a Live Enterprise Knowledge Graph and Agentic AI.

Live Enterprise Knowledge Graph

Move from fragmented data to connected intelligence. Qyrus maps software assets, usage patterns, infrastructure dependencies, and business services into a single, continuously updated model.

Real-Time Usage Analytics

Finally answer the hard questions: Who is actually using this? How often? What business function does it support?

Automated Audit Defense

Maintain a real-time, mathematically accurate record of your entire software estate to instantly neutralize compliance risks and vendor audits.

Agentic AI Workflows

Create a closed-loop system (Discover → Understand → Decide → Act → Optimize). Qyrus AI agents analyze usage patterns, identify optimization opportunities, and execute actions across systems within your defined governance boundaries.

A GLIMPSE ON THE NUMBERS

Outcomes & Benefits

Assess Faster. Decide with Evidence. Reduce the Risk.

Replace subjective SME knowledge with a continuously updated, evidence-based view of where technical debt actually lives — so modernization decisions are objective, defensible, and low-risk.

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.

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CUSTOMER TESTIMONIALS

Enterprises running the loop
in their own words.

Real Teams. Real Outcomes. Real Confidence in what ships next.
Lorem Ipsum Dolor Sit Amet. Lorem Ipsum Dolor Sit Amet. Lorem

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

Go Deeper on QyrusAI 

 

Explore strategic insights and practical frameworks to elevate your system observability and automated operations. Empower your teams with the knowledge to build a highly resilient engineering culture.

Featured Image
Operate

October 16, 2026 | 6 min

The Blind Spot of Observability: Why IT Visibility Without Business Context Fails

Read More
Featured Image
Operate

October 15, 2026 | 4 min

Data-Rich, Context-Poor: Why Enterprise AI Fails Without Context—And How to Fix It

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Business Impact in IT Operations
Operate

October 14, 2026 | 5 min

The Cost of Flying Blind: Why Disconnected IT Operations Bleed Business Value

Read More
Featured image
Operate

October 19, 2026 | 3 min

Accelerating Network Modernization Through Intelligent IT Discovery With QyrusAI

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Data-Analytics Leader Case Study
Assure

September 24, 2026 | 6 min

How a Global Data & Analytics Leader Scaled SAP GUI and Fiori Test Automation for Complex BRIM Workflows

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 

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SAPinsider Chicago Skyline Experience

October 21, 2026 | 3 min

QyrusAI at SAPinsider Chicago: Bringing Quality Into SAP Transformation

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Featured Image

October 12, 2026 | 1 min

Next Stop, Madison: QyrusAI Joins the ASUG Community

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Jack Henry Blog Featured Image

September 21, 2026 | 1 min

Meet QyrusAI at Jack Henry Connect 2026

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Finops Featured Image1
Operate

October 13, 2026 | 2 min

FinOps: From Cost Visibility to Cost Predictability

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Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

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The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

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Finops Featured Image1
Operate

October 13, 2026 | 2 min

FinOps: From Cost Visibility to Cost Predictability

Read More
Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

Read More

Blog

Featured Image
Operate

October 16, 2026 | 6 min

The Blind Spot of Observability: Why IT Visibility Without Business Context Fails

Read More
Featured Image
Operate

October 15, 2026 | 4 min

Data-Rich, Context-Poor: Why Enterprise AI Fails Without Context—And How to Fix It

Read More
Business Impact in IT Operations
Operate

October 14, 2026 | 5 min

The Cost of Flying Blind: Why Disconnected IT Operations Bleed Business Value

Read More

Featured image
Operate

October 19, 2026 | 3 min

Accelerating Network Modernization Through Intelligent IT Discovery With QyrusAI

Read More
Data-Analytics Leader Case Study
Assure

September 24, 2026 | 6 min

How a Global Data & Analytics Leader Scaled SAP GUI and Fiori Test Automation for Complex BRIM Workflows

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

SAPinsider Chicago Skyline Experience

October 21, 2026 | 3 min

QyrusAI at SAPinsider Chicago: Bringing Quality Into SAP Transformation

Read More
Featured Image

October 12, 2026 | 1 min

Next Stop, Madison: QyrusAI Joins the ASUG Community

Read More
Jack Henry Blog Featured Image

September 21, 2026 | 1 min

Meet QyrusAI at Jack Henry Connect 2026

Read More

Finops Featured Image1
Operate

October 13, 2026 | 2 min

FinOps: From Cost Visibility to Cost Predictability

Read More
Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

Read More

Finops Featured Image1
Operate

October 13, 2026 | 2 min

FinOps: From Cost Visibility to Cost Predictability

Read More
Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

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.

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.