Autonomous Testing | Test Orchestration | SAP Testing
Prove Every Change. Automatically.
Testing is no longer a gate you pass at the end of a sprint. It is a continuous signal that every change is safe to ship.
Qyrus AI Quality Engineering is a single agentic platform that covers every channel — web, mobile, API, SAP, and data — with tests that sense every commit, heal themselves when applications change, and generate the evidence that gates every release.
Challenges
The Testing Problem
Every QA Team Knows.
Stop letting testing bottlenecks, fragmented toolchains, and brittle maintenance cycles slow down your release velocity. Discover how intelligent test automation replaces unverified pass/fail counts with robust, audit-ready governance.
Testing Is the Release Bottleneck
Every sprint ends with the same conversation: will QA finish in time? Regression windows grow as applications grow, but the team does not. Testing is slowing the business it is supposed to protect.
Maintenance Erodes Every Coverage Gain
Every UI change breaks scripts. Every sprint introduces flaky tests that get quarantined instead of fixed. The quarantine list grows faster than the coverage list.
Fragmented Tools Across Every Channel
Web testing, mobile testing, API testing, SAP testing, and data testing run on separate tools with separate teams and no shared coverage picture. The regression suite is always incomplete somewhere.
No Proof — Just a Pass/Fail Count
Release sign-off is a yes or no at the end of a test cycle. There is no structured evidence of what was tested, how it behaved, and why the decision was made. Regulators and boards are starting to ask.
How it works
The SEER Orchestration Framework: Sense. Evaluate. Execute. Report.
Understand the four pillars of our SEER framework: sensing pipeline changes instantly, evaluating intelligent test selection, executing parallel cloud runs with self-healing scripts, and generating structured evidence for every release decision.
Native monitoring across every CI/CD platform
SEER’s Watch Towers connect natively to GitHub, GitLab, Azure DevOps, Jenkins, and every major CI/CD platform your teams already use. The moment a commit lands or a pipeline runs, SEER knows before anyone has to tell it. There’s no separate integration project and no webhook you have to wire up by hand.
UI, API, and data changes surface
SEER detects UI, API, and data changes the instant they happen — before a single test run is even queued. That’s the difference between catching a regression in minutes and finding it three environments downstream. Every change gets classified by type and location before it ever reaches the Evaluate stage.
Incidents become tomorrow's regression tests
Production signals from Operate feed straight back into SEER, so a real incident automatically becomes a regression test input instead of a one-off fire drill. This closes the loop between what actually broke and what gets tested before the next release. Quality gets sharper with every incident, not just documented after it.
Jira, Figma, and user journeys watched
SEER’s Watch Towers extend beyond code to the tools where requirements and design actually change — Jira, ServiceNow, and Azure DevOps for story updates, Figma for UI/UX design changes. A modified user story or design file is a change signal, exactly like a code commit is. Testing stays aligned to what the product is supposed to do, not just to what the code currently does.
Relevant tests only, not full suite
SEER evaluates every change against the full test suite and selects only the tests relevant to what actually changed. Regression that used to take days now runs in hours, without cutting a single test that matters. Coverage doesn’t shrink — it gets aimed.
See what a change could break
The Impact Analyzer uses static analysis, dependency graphs, and historical data to trace exactly which modules, components, or APIs a change could ripple into. It answers the question every developer asks before a release: if this changes, what else moves? That answer shapes the entire test plan before a single test runs.
New tests generated for coverage gaps
Where the existing suite doesn’t cover a change, TestGenerator compares updated requirements against what’s already tested and writes new, relevant test cases automatically. UXtract does the same for visual and UX changes, mapping design differences straight to test steps. Coverage gaps get closed the moment they’re found, not discovered during the next outage.
Past results inform every new decision
Every evaluation draws on the Context DB — a running memory of historical test results, defect trends, and traceability data from every previous run. The Orchestration Layer uses that history to sequence tests in the right order, applying your testing policies and business rules automatically. Evaluation gets smarter the more you test, instead of starting from zero every time.
Every channel tested at once
SEER executes the selected tests across web, mobile, API, SAP, and data pipelines in parallel using cloud-hosted execution infrastructure. There’s no environment to set up and no queue to wait behind — tests that used to run sequentially now run together. What took an overnight regression run now delivers feedback in minutes.
Zero infrastructure to manage yourself
Browser Farm and Device Farm give SEER access to real browsers and real devices at cloud scale, without your team standing up or maintaining any of that infrastructure. Hundreds of tests spin up clean, temporary environments and run simultaneously. It’s the difference between a single-lane road and a hundred-lane highway for test execution.
Scripts survive UI and API changes
When an application update legitimately changes the UI or an API, Healer AI analyzes the change and updates the affected test scripts automatically. There’s no maintenance sprint after every release and no engineer stuck repairing brittle scripts instead of building. This alone typically cuts script maintenance effort by well over half.
Rover explores what scripts don't
Alongside scripted execution, Rover autonomously explores your application to uncover bugs and untested pathways that a predefined script would never think to check. It’s the difference between testing what you planned for and testing what’s actually there. This exploratory layer catches the defects that scripted coverage alone consistently misses.
Timestamped, policy-attributed, and fully queryable
Every SEER execution produces a structured evidence record — what was tested, what passed, what failed, when, under what policy, and whose approval it carries. This record lives in Qhive, where it’s queryable rather than buried in a log file nobody reopens. Evidence becomes a searchable asset, not a one-time export.
Which business processes are actually proved
Reporting goes beyond a simple pass/fail percentage to show which business processes were actually exercised and proved by the test run. A release manager sees not just “92% passed,” but exactly which customer-facing processes that 92% covers — and which ones it doesn’t. This is the detail that turns a test report into something a release decision can actually be based on.
One-click reports across major regulatory frameworks
SEER generates one-click audit reports mapped to the frameworks your industry answers to — HIPAA, FSMA, DORA, FCA/PRA, and the EU AI Act among them. What used to take a compliance team days of manual evidence-gathering becomes a report generated on demand from evidence already captured during execution. Every report traces back to the same structured, timestamped record, so there’s nothing to reconcile after the fact.
Severity and business impact scored automatically
Every defect or anomaly found gets evaluated for severity and potential business impact, not logged as just another generic failure. This turns a wall of red test results into a prioritized list of what actually needs attention first. Release decisions get made on business risk, not on how loudly a dashboard is flashing.
Core Features
Cover every channel from web and mobile to SAP and data pipelines. Discover how unified multi-channel testing, self-healing scripts, and SEER orchestration turn QA into a frictionless, audit-ready engine.
Built to Cover Every Channel
Keep Up with Every Change.
Web Testing
Codeless and scripted testing across all browsers and viewports — with self-healing scripts that survive UI changes without manual maintenance.
Mobile Testing
Native iOS and Android testing plus mobile web — across real devices in the Device Farm. Zero infrastructure setup.
API Testing
REST and SOAP API testing with assertions, parameterization, and regression suites. Continuous API validation triggered by every commit.
SAP Testing
AI-generated SAP test cases covering IDoc chains, BAPI flows, RFC calls, and business processes. Blast-radius analysis before every transport.
Data Testing
Continuous ETL/ELT pipeline validation. Business-logic assertion layer on top of infrastructure checks. DataChain test data management for AI and analytics pipelines.
Test Orchestration
SEER orchestrates tests across all channels from one platform — risk-based selection, parallel execution, and evidence generation at every stage.
AI Agents
TestPilot, TestGenerator, and Rover: AI-generated tests from screens, tickets, and autonomous exploration.
SEER — Evidence Layer
Every test execution generates a structured, queryable evidence record — the audit trail that regulators, compliance teams, and release managers require by default.
A GLIMPSE ON THE NUMBERS
Outcomes & Benefits
Release Faster. Cover More. Break Less. Prove It Every Time
Fewer escaped defects with shift-left
Reduction in testing time
ROI on test automation
SAP testing time reduced (8d → 22hrs)
Continuous testing. Continuous learning. Continuous value.
Join leading enterprises
driving the loop forward.
Integrations
Integrates With Your Delivery Pipeline No Rip-and-Replace Required
QyrusAI connects to your existing CI/CD toolchain, test management tools, and monitoring stack.
Every integration preserves your existing data and reporting — Assure adds the agentic orchestration and evidence layer on top.
CUSTOMER TESTIMONIALS
Enterprises running the loop
in their own words.
Real Teams. Real Outcomes. Real Confidence in What Ships Next.
Discover how teams worldwide are leveraging QyrusAI.
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
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.
Blog
October 15, 2026 | 
4 min
Data-Rich, Context-Poor: Why Enterprise AI Fails Without Context—And How to Fix It
Read More
October 14, 2026 | 5 min
The Cost of Flying Blind: Why Disconnected IT Operations Bleed Business Value
Read More
October 9, 2026 | 8 min
Application Discovery and Dependency Mapping: The First Step Before You Modernize Anything
Read More
September 24, 2026 | 6 min
How a Global Data & Analytics Leader Scaled SAP GUI and Fiori Test Automation for Complex BRIM Workflows
Read More
September 17, 2025 | 5 min
From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation
Read More
June 27, 2025 | 5 min
AI-Powered Testing Transforms One of the Largest Beverage Companies
Read More
Blog
October 15, 2026 | 4 min
Data-Rich, Context-Poor: Why Enterprise AI Fails Without Context—And How to Fix It
Read More
October 14, 2026 | 5 min
The Cost of Flying Blind: Why Disconnected IT Operations Bleed Business Value
Read More
October 9, 2026 | 8 min
Application Discovery and Dependency Mapping: The First Step Before You Modernize Anything
Read More
Case Study
September 24, 2026 | 6 min
How a Global Data & Analytics Leader Scaled SAP GUI and Fiori Test Automation for Complex BRIM Workflows
Read More
September 17, 2025 | 5 min
From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation
Read More
June 27, 2025 | 5 min
AI-Powered Testing Transforms One of the Largest Beverage Companies
Read More
Reports
Whitepaper
FREQUENTLY ASKED QUESTIONS
Common Questions About
QyrusAI Assure
How is Assure different from Tricentis, UFT, or our current test automation tool?
The three meaningful differences: (1) breadth — one platform covering web, mobile, API, SAP, and data; Tricentis requires multiple SKUs for the same coverage; (2) the production feedback loop — Assure receives incident signals from Operate and converts them into regression tests automatically; no other testing vendor can do this because they have no production data; (3) the evidence layer — every SEER execution generates a structured audit record; your current tool produces a pass/fail count. If you have a Tricentis renewal coming up, we are happy to show you the consolidation maths.
What is the SEER framework and how does it differ from traditional test orchestration?
SEER stands for Sense, Evaluate, Execute, Report. Traditional orchestration schedules tests. SEER senses changes as they happen and selects only the tests relevant to what changed — which means regression runs in hours, not days. It also generates evidence at every stage: what was sensed, what was evaluated, what was executed, and what the outcome was. That evidence is not a test report — it is a structured, queryable record that gates the release decision.
Does it integrate with our CI/CD pipeline?
Yes. SEER integrates natively with GitHub, GitLab, Azure DevOps, Jenkins, and most CI/CD platforms. The SEER trigger can be set on commit, on PR creation, on deployment, or on a production event from Operate. The integration is configured in minutes — it does not require a dedicated infrastructure project.
How is evidence generated automatically — and is it acceptable for compliance frameworks like HIPAA, FSMA, or DORA?
Every SEER execution writes a structured record to Qhive: timestamp, test cases run, pass/fail status, business processes covered, policy context, and the approval chain. This record is queryable and exportable as a PDF audit report with one click. For HIPAA, FSMA 204, DORA, and FCA/PRA, the evidence record covers what was tested, when, by what policy, and with what outcome. Several Qyrus customers in regulated industries use this record as their primary compliance evidence — we are happy to walk through the specific framework requirements on a call.
What happens to our existing test assets — manual scripts, Selenium suites, Tricentis models?
They become inputs to Assure, not liabilities. Existing Selenium scripts are converted to codeless tests using the optimal conversion sequence from Modernize’s code analysis. Manual test cases are imported and used as context for AI-generated test generation. Tricentis models can be migrated with a structured conversion programme. You do not start from zero — you start from everything you already know, made maintainable.
How does SEER handle SAP testing, which is more complex than web or API testing?
Assure includes native SAP testing capabilities: AI-generated test cases for IDoc chains, BAPI flows, RFC calls, and S/4HANA business processes. SAP transport-aware blast-radius analysis shows what each transport will affect across all satellite systems before it is imported. DataChain traces document flows end-to-end — including Lead-to-Cash and Source-to-Pay processes — with masked, realistic datasets. The evidence record covers SAP-specific attributes: transport number, business process, and system of record.
• STAY AHEAD, STAY IN THE LOOP •
Stop Gating Releases on a QA Team's Best Guess.
Start Gating on Evidence.
4–6 week pilot on your most critical application — scoped to your next named release date, with a pre-agreed success metric you choose.
