FinOps | Cloud Cost Intelligence | Cost Optimization
Stop Tracking Cost. Start Explaining It.
Cloud spend is a systems problem, not a billing problem. QyrusAI FinOps continuously discovers your cloud estate, maps how cost propagates through dependencies, and explains what’s actually driving every dollar — so optimization is safe, sustained, and tied to business value.
CORE FEATURES
Built to Turn Cloud Spend Into a
Strategic Advantage.
Stop reacting to cloud waste after the billing cycle closes. Discover how real-time discovery, contextual attribution, and agentic AI workflows turn cloud spend into a transparent, self-optimizing advantage.
Continuous Cost Discovery
Automatically discovers cloud resources, services, and spend across multi-cloud and hybrid environments in real time — no manual inventory required.
Dependency-Aware Cost Intelligence
Maps how applications, services, and infrastructure interact, so cost drivers are understood in context — not guessed at.
Contextual Cost Attribution
Connects every dollar to an application, team, or business outcome — not just an infrastructure line item.
Agentic Cost Optimization
Detects idle resources and inefficiencies continuously and remediates them through governed, human-in-the-loop AI workflows.
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
See the Spend. Map the Drivers.
Attribute the Cost.
Optimize Continuously.
Explore how QyrusAI maps hidden cost drivers, connects every dollar to its exact business outcome, and continuously eliminates waste through agentic AI workflows without compromising system reliability.
Continuously discover cloud resources and spend — automatically.
QyrusAI reads your cloud environment in real time across hybrid and multi-cloud infrastructure — resources, services, and spend as they happen, not as they’re billed. No manual tagging. No stale spreadsheets. The estate is observed, not surveyed — so it stays current as your systems change.
Understand what's actually driving cost — before you optimize anything.
Every dependency between applications, services, and infrastructure is mapped, so cost is never analyzed in isolation. QyrusAI connects spend to the systems and business services generating it — turning a billing line item into an explanation.
Connect every dollar to an application, team, or business outcome.
Cost is attributed to what it’s actually for — not just the infrastructure it ran on. Finance, engineering, and business leaders finally work from the same picture of where spend goes and why.
Act on waste and inefficiency continuously — not once a month.
QyrusAI detects idle resources, overprovisioning, and inefficiencies in real time, and executes optimization through agentic AI workflows with human-in-the-loop control — so savings are safe, sustained, and never come at the cost of reliability.
Challenges
The FinOps Problem
Every Enterprise Knows.
Cost Without Context
Billing data tells you what you spent, not why. Costs are analyzed without understanding the application and service dependencies that actually drive them.
Fragmented Views Across Teams
Finance, engineering, and operations work from different pictures of reality, so decisions that look correct on a dashboard create operational risk downstream.
Reactive, Not Real-Time
Traditional FinOps tools surface insights after the billing cycle closes — by the time waste is visible, weeks of spend are already gone.
Optimization That Doesn't Stick
Manual tagging and static CMDBs can't keep pace with containers that scale dynamically and infrastructure that changes in real time — so savings erode as fast as they're found.
A GLIMPSE ON THE NUMBERS
Optimize Faster. Stay in Control. Prove the Value.
Unify your financial data, govern optimization with policy-driven automation, and tie cloud spend directly to business outcomes. See how continuous FinOps intelligence turns cost control into a safe, self-sustaining competitive edge.
Faster incident resolution
Fewer reactive incidents
Run cost reduction
ROI — (UK bank, full platform)
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.
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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.
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%.
... 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.
Resources
Dive into our latest research, customer success stories, and practical implementation guides. See exactly how combining real-time cloud resource discovery with policy-governed agentic optimization turns cloud spend into a transparent, self-sustaining competitive advantage.
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 QyrusAI Modernization
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How is this different from a CMDB or an EA repository like LeanIX?
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.
STAY AHEAD, STAY IN THE LOOP
Move From Cost Tracking to
Cost Intelligence.
30-minute walkthrough with a solutions architect — we’ll show you what your cloud estate’s real cost drivers look like, and where QyrusAI would find waste in your environment today.
