Pricing

Analyze your QA trends in Tricentis qTest with AI

Swiftask connects your qTest data to AI models to turn your test results into clear, predictive trends.

Result:

Identify risk areas before production and accelerate your release cycles.

Complex QA data slows down decision-making

QA teams accumulate thousands of test results in Tricentis qTest. Without intelligent analysis, it is impossible to spot recurring bug patterns or predict future code fragility.

Main negative impacts:

Hidden risks in logs: Regression trends go unnoticed until it is too late, impacting the stability of your deployments.
Overwhelming manual analysis: Your experts spend too much time manually correlating test data instead of improving product quality.
Lack of strategic visibility: Management lacks consolidated data to prioritize test efforts on the most unstable modules.

Swiftask automates the analysis of your Tricentis qTest data, extracting meaningful trends to guide your testing decisions.

BEFORE / AFTER

What changes with Swiftask

Traditional approach

Testers manually export qTest reports to Excel, trying to build charts to guess trends. The analysis is static, manual, and often obsolete by the time it is published.

Swiftask augmented approach

The AI agent continuously ingests your test executions from Tricentis qTest. It automatically detects anomalies, correlates failures by module, and provides real-time insights.

Setting up AI analysis in 4 steps

STEP 1 : Secure qTest connection

Connect Swiftask to your Tricentis qTest instance via secure API to authorize test result reading.

STEP 2 : Define analysis metrics

Configure the analysis axes: success rate per module, bug frequency, cycle duration.

STEP 3 : AI processing

The Swiftask agent analyzes the data, identifies correlations, and generates automated trend reports.

STEP 4 : Corrective actions

Receive alerts on drifts and adjust your test strategy directly from your management tools.

Predictive analysis capabilities

The AI examines execution history, defect severity, and test coverage to model your application's future behavior.

Target connector: The agent performs the right actions in tricentis qtest based on event context.
Automated actions: Automatic regression detection. Risk area prediction. Automated test health reports. Quality threshold-based alerts.
Native governance: All analyses are stored in an auditable history for continuous improvement.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-tricentis-qtest@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Major operational benefits

1. Reduced time-to-market

Identify bottlenecks sooner with immediate visibility into test trends.

2. Intelligent prioritization

Focus your resources on the most error-prone features.

3. Data-driven decisions

Eliminate guesswork from your test planning.

4. Automated reporting

Generate insights for stakeholders without manual effort.

5. Improved software quality

Learn from past failures to prevent future issues.

Security and compliance

Swiftask applies enterprise-grade security standards for your tricentis qtest automations.

Data encryption: Your qTest data is processed securely and is never used to train public models.
Access governance: Precisely control which team members can access AI insights.
Enterprise compliance: Solution designed to meet the security standards of large organizations.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your key indicators

Metric	Before	After
Trend analysis time	Hours per week	Real-time
Risk detection	After production failure	Predictive (pre-release)
Test accuracy	Human estimation	Historical data-based

Take action with tricentis qtest

Identify risk areas before production and accelerate your release cycles.

Streamline your Tricentis qTest scheduling with AI

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