Automated AI Test Reporting Tool Built for Release Assurance

A pass rate shows the outcome of the tests that ran, but not whether the right requirements were covered. Virtuoso QA captures evidence at every step and links each journey to the requirement and source document behind it, giving teams a traceable record of what was verified before every release.

Test Authoring

Automated AI Test Reporting Tool Built for Release Assurance

A pass rate shows the outcome of the tests that ran, but not whether the right requirements were covered. Virtuoso QA captures evidence at every step and links each journey to the requirement and source document behind it, giving teams a traceable record of what was verified before every release.

Test Authoring

Automated AI Test Reporting Tool Built for Release Assurance

A pass rate shows the outcome of the tests that ran, but not whether the right requirements were covered. Virtuoso QA captures evidence at every step and links each journey to the requirement and source document behind it, giving teams a traceable record of what was verified before every release.

Test Authoring

Used by the world's leading companies

Used by the world's leading companies

Used by the world's leading companies

Used by the world's leading companies

Why Traditional Test Reporting Rarely Answers the Question

Most testing platforms report execution results. Release stakeholders need evidence of what was covered, which requirements were verified and how each decision was supported.

Pass rates do not show requirement coverage

A high pass rate reflects the tests that ran, not the requirements that remain untested. Removing or quarantining an unreliable test can improve the percentage without reducing release risk.

Release coverage is difficult to establish

Answering whether a specific change was verified often requires information from test tools, ticketing systems and spreadsheets. When evidence is fragmented, teams rely on manual investigation and institutional knowledge.

Evidence is gathered after the release

Audit, compliance and incident reviews require a clear record of what was tested, what changed and who approved it. Rebuilding that history afterwards consumes time and provides weaker assurance than evidence captured during the testing process.

Why Traditional Test Reporting Rarely Answers the Question

Most testing platforms report execution results. Release stakeholders need evidence of what was covered, which requirements were verified and how each decision was supported.

Pass rates do not show requirement coverage

A high pass rate reflects the tests that ran, not the requirements that remain untested. Removing or quarantining an unreliable test can improve the percentage without reducing release risk.

Release coverage is difficult to establish

Answering whether a specific change was verified often requires information from test tools, ticketing systems and spreadsheets. When evidence is fragmented, teams rely on manual investigation and institutional knowledge.

Evidence is gathered after the release

Audit, compliance and incident reviews require a clear record of what was tested, what changed and who approved it. Rebuilding that history afterwards consumes time and provides weaker assurance than evidence captured during the testing process.

Why Traditional Test Reporting Rarely Answers the Question

Most testing platforms report execution results. Release stakeholders need evidence of what was covered, which requirements were verified and how each decision was supported.

Pass rates do not show requirement coverage

A high pass rate reflects the tests that ran, not the requirements that remain untested. Removing or quarantining an unreliable test can improve the percentage without reducing release risk.

Release coverage is difficult to establish

Answering whether a specific change was verified often requires information from test tools, ticketing systems and spreadsheets. When evidence is fragmented, teams rely on manual investigation and institutional knowledge.

Evidence is gathered after the release

Audit, compliance and incident reviews require a clear record of what was tested, what changed and who approved it. Rebuilding that history afterwards consumes time and provides weaker assurance than evidence captured during the testing process.

Agentic Test Reporting From Requirement to Evidence

Virtuoso QA combines real time execution intelligence with the requirement context and change traceability provided by Touchstone, our agentic AI capability. Teams can connect a test result to its technical cause, business requirement and supporting evidence without consolidating information from multiple systems.

Accelerate root cause analysis

Analyse failed steps, network events, console errors and execution history to identify likely causes, reduce investigation time and support faster remediation.

Maintain complete requirement traceability

Touchstone connects source documentation to requirements and proposed journeys, while Virtuoso QA links execution results to the coverage they verify. This creates a continuous record from business intent to test outcome.

Provide reporting for every stakeholder

Give QA teams visibility into execution history and stability trends, developers access to detailed diagnostics, and leadership a clear view of coverage, quality and release readiness.

Retain step level execution evidence

Capture screenshots, DOM snapshots, network requests, console activity, API calls and self healing actions for every journey step, providing the technical context behind each result.

Support governance and compliance reviews

Export executive summaries, coverage metrics and detailed execution evidence in PDF, Excel and CSV formats to support release governance, audit preparation and compliance reporting.

Connect failures to delivery workflows

Create and link work through Jira, TestRail, Xray, GitHub and Azure DevOps while preserving comments, diagnostic evidence and journey context throughout the resolution process.

Agentic Test Reporting From Requirement to Evidence

Virtuoso QA combines real time execution intelligence with the requirement context and change traceability provided by Touchstone, our agentic AI capability. Teams can connect a test result to its technical cause, business requirement and supporting evidence without consolidating information from multiple systems.

Accelerate root cause analysis

Analyse failed steps, network events, console errors and execution history to identify likely causes, reduce investigation time and support faster remediation.

Maintain complete requirement traceability

Touchstone connects source documentation to requirements and proposed journeys, while Virtuoso QA links execution results to the coverage they verify. This creates a continuous record from business intent to test outcome.

Provide reporting for every stakeholder

Give QA teams visibility into execution history and stability trends, developers access to detailed diagnostics, and leadership a clear view of coverage, quality and release readiness.

Retain step level execution evidence

Capture screenshots, DOM snapshots, network requests, console activity, API calls and self healing actions for every journey step, providing the technical context behind each result.

Support governance and compliance reviews

Export executive summaries, coverage metrics and detailed execution evidence in PDF, Excel and CSV formats to support release governance, audit preparation and compliance reporting.

Connect failures to delivery workflows

Create and link work through Jira, TestRail, Xray, GitHub and Azure DevOps while preserving comments, diagnostic evidence and journey context throughout the resolution process.

Agentic Test Reporting From Requirement to Evidence

Virtuoso QA combines real time execution intelligence with the requirement context and change traceability provided by Touchstone, our agentic AI capability. Teams can connect a test result to its technical cause, business requirement and supporting evidence without consolidating information from multiple systems.

Accelerate root cause analysis

Analyse failed steps, network events, console errors and execution history to identify likely causes, reduce investigation time and support faster remediation.

Maintain complete requirement traceability

Touchstone connects source documentation to requirements and proposed journeys, while Virtuoso QA links execution results to the coverage they verify. This creates a continuous record from business intent to test outcome.

Provide reporting for every stakeholder

Give QA teams visibility into execution history and stability trends, developers access to detailed diagnostics, and leadership a clear view of coverage, quality and release readiness.

Retain step level execution evidence

Capture screenshots, DOM snapshots, network requests, console activity, API calls and self healing actions for every journey step, providing the technical context behind each result.

Support governance and compliance reviews

Export executive summaries, coverage metrics and detailed execution evidence in PDF, Excel and CSV formats to support release governance, audit preparation and compliance reporting.

Connect failures to delivery workflows

Create and link work through Jira, TestRail, Xray, GitHub and Azure DevOps while preserving comments, diagnostic evidence and journey context throughout the resolution process.

Operational Outcomes of Traceable Test Reporting

Virtuoso QA gives each team the same record to work from, so readiness, investment and accountability are all assessed against what was actually verified rather than against a status update.

Faster release sign off

Teams can assess readiness from a shared evidence record instead of reconciling updates across test tools, tickets and spreadsheets.

Better allocation of testing investment

Coverage gaps can be prioritised against business requirements, helping leaders direct resources towards the areas carrying the greatest release risk.

Clearer accountability for quality decisions

Recorded ownership and approval history establish who reviewed each change and the evidence available when the decision was made.

Stronger control over suite reliability

Execution trends support informed decisions about which journeys should be maintained, redesigned or retired before unreliable coverage affects release confidence.

Operational Outcomes of Traceable Test Reporting

Virtuoso QA gives each team the same record to work from, so readiness, investment and accountability are all assessed against what was actually verified rather than against a status update.

Faster release sign off

Teams can assess readiness from a shared evidence record instead of reconciling updates across test tools, tickets and spreadsheets.

Better allocation of testing investment

Coverage gaps can be prioritised against business requirements, helping leaders direct resources towards the areas carrying the greatest release risk.

Clearer accountability for quality decisions

Recorded ownership and approval history establish who reviewed each change and the evidence available when the decision was made.

Stronger control over suite reliability

Execution trends support informed decisions about which journeys should be maintained, redesigned or retired before unreliable coverage affects release confidence.

Operational Outcomes of Traceable Test Reporting

Virtuoso QA gives each team the same record to work from, so readiness, investment and accountability are all assessed against what was actually verified rather than against a status update.

Faster release sign off

Teams can assess readiness from a shared evidence record instead of reconciling updates across test tools, tickets and spreadsheets.

Better allocation of testing investment

Coverage gaps can be prioritised against business requirements, helping leaders direct resources towards the areas carrying the greatest release risk.

Clearer accountability for quality decisions

Recorded ownership and approval history establish who reviewed each change and the evidence available when the decision was made.

Stronger control over suite reliability

Execution trends support informed decisions about which journeys should be maintained, redesigned or retired before unreliable coverage affects release confidence.

Operational Outcomes of Traceable Test Reporting

Virtuoso QA gives each team the same record to work from, so readiness, investment and accountability are all assessed against what was actually verified rather than against a status update.

Faster release sign off

Teams can assess readiness from a shared evidence record instead of reconciling updates across test tools, tickets and spreadsheets.

Better allocation of testing investment

Coverage gaps can be prioritised against business requirements, helping leaders direct resources towards the areas carrying the greatest release risk.

Clearer accountability for quality decisions

Recorded ownership and approval history establish who reviewed each change and the evidence available when the decision was made.

Stronger control over suite reliability

Execution trends support informed decisions about which journeys should be maintained, redesigned or retired before unreliable coverage affects release confidence.

Explore Related Virtuoso QA Capabilities

Author from the requirements behind the test

Turn specifications, stories and process documentation into requirements and journeys written in plain English.

Run approved journeys at scale

Deterministic execution across browsers, environments and datasets, on demand or from your pipeline.

Keep coverage current as the application changes

Repairs proposed for review and requirement changes traced to the journeys built on them.

Explore Related Virtuoso QA Capabilities

Author from the requirements behind the test

Turn specifications, stories and process documentation into requirements and journeys written in plain English.

Run approved journeys at scale

Deterministic execution across browsers, environments and datasets, on demand or from your pipeline.

Keep coverage current as the application changes

Repairs proposed for review and requirement changes traced to the journeys built on them.

Explore Related Virtuoso QA Capabilities

Author from the requirements behind the test

Turn specifications, stories and process documentation into requirements and journeys written in plain English.

Run approved journeys at scale

Deterministic execution across browsers, environments and datasets, on demand or from your pipeline.

Keep coverage current as the application changes

Repairs proposed for review and requirement changes traced to the journeys built on them.

Al-native, proven in production.

10x

Faster execution

9x

Faster authoring

85%

Less maintenance

50%

Lower QA cost

Al-native, proven in production.

10x

Faster execution

9x

Faster authoring

85%

Less maintenance

50%

Lower QA cost

Al-native, proven in production.

10x

Faster execution

9x

Faster authoring

85%

Less maintenance

50%

Lower QA cost

Proven where quality and accountability matter

Recognized by independent analysts, trusted by enterprise teams, and built with the security controls required for critical software.

WAVE STRONG PERFORMER

Proven where quality and accountability matter

Recognized by independent analysts, trusted by enterprise teams, and built with the security controls required for critical software.

WAVE STRONG PERFORMER

Proven where quality and accountability matter

Recognized by independent analysts, trusted by enterprise teams, and built with the security controls required for critical software.

WAVE STRONG PERFORMER

Frequently Asked Questions

Practical answers on evidence, traceability and what reporting shows beyond a single run.

What makes Virtuoso QA test reporting different?

What evidence does Virtuoso QA capture during execution?

How does Virtuoso QA help diagnose failed tests?

Can Virtuoso QA show how a journey performs over time?

Does Virtuoso QA provide reporting beyond individual test runs?

Frequently Asked Questions

Practical answers on evidence, traceability and what reporting shows beyond a single run.

What makes Virtuoso QA test reporting different?

What evidence does Virtuoso QA capture during execution?

How does Virtuoso QA help diagnose failed tests?

Can Virtuoso QA show how a journey performs over time?

Does Virtuoso QA provide reporting beyond individual test runs?

Frequently Asked Questions

Practical answers on evidence, traceability and what reporting shows beyond a single run.

What makes Virtuoso QA test reporting different?

What evidence does Virtuoso QA capture during execution?

How does Virtuoso QA help diagnose failed tests?

Can Virtuoso QA show how a journey performs over time?

Does Virtuoso QA provide reporting beyond individual test runs?

See what your next release looks like with Virtuoso

Book a walkthrough on your applications and your workflows. Bring a requirement, a user journey, or a brittle Selenium script, and watch the loop run on something you recognise.

See what your next release looks like with Virtuoso

Book a walkthrough on your applications and your workflows. Bring a requirement, a user journey, or a brittle Selenium script, and watch the loop run on something you recognise.

See what your next release looks like with Virtuoso

Book a walkthrough on your applications and your workflows. Bring a requirement, a user journey, or a brittle Selenium script, and watch the loop run on something you recognise.

Virtuoso QA is establishing the standard of proof for software releases. Its governed QA loop turns business requirements into tests for any browser-based application: AI proposes, a deterministic engine executes, a person approves what matters, and every decision leaves evidence.

AICPA

SOC

WAVE STRONG PERFORMER

@ Copyright 2026 SpotQA, Creators of Virtuoso QA

Virtuoso QA is establishing the standard of proof for software releases. Its governed QA loop turns business requirements into tests for any browser-based application: AI proposes, a deterministic engine executes, a person approves what matters, and every decision leaves evidence.

AICPA

SOC

WAVE STRONG PERFORMER

@ Copyright 2026 SpotQA, Creators of Virtuoso QA

Virtuoso QA is establishing the standard of proof for software releases. Its governed QA loop turns business requirements into tests for any browser-based application: AI proposes, a deterministic engine executes, a person approves what matters, and every decision leaves evidence.

AICPA

SOC

WAVE STRONG PERFORMER

@ Copyright 2026 SpotQA, Creators of Virtuoso QA