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

BizOps | Business-Aware Operations | Impact Intelligence

Bridge the Gap Between Tech Health and Commercial Success.

While traditional tools reveal infrastructure performance, they fail to demonstrate how failures affect overarching enterprise goals. Our platform links digital architecture directly to commercial services, empowering leaders to execute strategic choices based on actual operational consequences.

BizOps

CORE FEATURES

Designed to Translate Technical Telemetry Into Commercial Reality.

Equip your cross-functional teams with dynamic mapping capabilities that eliminate guesswork. Shift your organizational posture from reactive firefighting to proactive, value-driven management.

Continuous Environmental Discovery

Automatically detects shifting digital assets across complex environments instantly, negating the requirement for tedious manual record-keeping or outdated static registries.

Commercial Service Mapping

Actively links disparate infrastructure components to the specific business workflows they support, ensuring technical teams understand the real-world weight of every alert.

Dynamic Relationship Intelligence

Evaluates exactly how distinct applications and databases interact, guaranteeing that true incident origins and their downstream commercial consequences are identified immediately.

Context-Aware AI Governance

Leverages artificial intelligence to intelligently rank critical actions based purely on enterprise value, applying targeted recommendations that respect your specific operational boundaries.

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.

HOW IT WORKS

Identify Assets. Connect Services.
Measure Influence.
Prioritize Intelligently.

Understand the four pillars of our platform: automatically uncovering technical assets, linking infrastructure to commercial services, gauging customer impact, and intelligently prioritizing AI-driven remediation tasks.

Identify critical applications, underlying infra, and dynamic system interdependencies

The system continuously evaluates your complete technological footprint in real time. Eradicating manual tracking ensures the architectural blueprint remains perfectly accurate, laying a flawless foundation for advanced commercial analysis.

Operate

Bind underlying tech infra directly to essential commercial services

Every intricate relationship between hardware and revenue streams is charted dynamically. By merging raw telemetry with enterprise workflows, isolated warnings instantly translate into clear indicators of overarching operational degradation.

Operate

Evaluate how unexpected tech disruptions degrade customer experiences

Incidents are rigorously analyzed through the lens of commercial importance to immediately expose severe vulnerabilities. Cross-functional leaders finally gain a synchronized perspective detailing exactly where financial friction originates.

Operate

Deploy advanced AI to rank remediation tasks by importance

Moving beyond basic alerts, the platform evaluates risks and recommends proactive resolutions using secure analytical protocols. This guarantees interventions remain dependable, protecting vital enterprise objectives while maintaining human oversight.

Operate

Challenges

The Hidden Costs of
Isolated Technical Visibility.

IT-Centric Monitoring Limitations

Dashboards frequently highlight infrastructure anomalies perfectly, yet completely fail to articulate the corresponding commercial degradation, leaving engineering groups blind to actual service consequences.

Reactive Symptom Treatment

Without clear visibility into overarching architectural relationships, response teams are forced to address superficial alerts rather than prioritizing the issues that actively disrupt customer experiences.

The Operational Disconnect

Functional silos separate infrastructure managers from financial stakeholders, preventing a synchronized understanding of reality and significantly delaying responses to revenue-impacting events.

Ineffective Static Registries

Legacy configuration databases and manual mapping exercises rapidly become obsolete within dynamic cloud environments, rendering any extracted operational intelligence dangerously inaccurate during actual emergencies.

A GLIMPSE ON THE NUMBERS

Resolve Faster. Stay in Control. Prove the Resilience.

Transform operational data into a definitive strategic advantage across all departments. Enable your engineering and leadership teams to protect critical workflows with unwavering confidence.

0 %

reduction in MTTR & time-to-diagnose

~ 0 %

reduction in operational costs

20- 0 %

legacy application rationalization

0 %

Uptime

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.

Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo
Logo

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

Delve into advanced frameworks to elevate your enterprise resilience and strategic alignment. Equip your organization with the intelligence to conquer digital complexity.

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

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

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. 

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

Transition From Isolated Monitoring to
Commercial Awareness.

Schedule a bespoke 30-minute consultation with a strategy architect — we will expose the hidden dependencies within your architecture and demonstrate exactly how contextual intelligence protects revenue.