Swiftask connects your Qase data to AI agents to produce comprehensive analytical reports. Get a clear view of your test quality without wasting time.
Result:
Save hours every week on test reporting. Make decisions based on reliable, up-to-date data.
AI Agents
qase
Connector qase · Secure OAuth 2.0
Manually compiling test results from Qase into presentations or tracking documents is a time-consuming, error-prone task. QA teams waste valuable time extracting and formatting data instead of analyzing the actual product quality.
Main negative impacts:
Operational time loss
Collecting and formatting reports takes hours, diverting QA engineers from their core responsibilities.
Outdated data
The gap between test execution and report generation makes release decisions less reliable.
Lack of analytical depth
Manual reports are often limited to basic metrics, lacking deep trend or root cause analysis.
Swiftask automates Qase report generation. Our AI agent extracts relevant data, analyzes it, and generates ready-to-use summaries tailored to your needs.
BEFORE / AFTER
Without Swiftask
A QA lead manually exports data from Qase, cleans it in a spreadsheet, creates charts, and writes a summary. This process is repeated before every meeting, creating a bottleneck.
With Swiftask + Qase
As soon as a test cycle ends or on a set schedule, the Swiftask agent queries Qase, compiles results, generates AI insights, and sends the final report via email or Slack. Zero human intervention.
1
STEP 1 : Configure Qase access
Connect your Qase instance to Swiftask using secure API keys. Your data remains confidential.
2
STEP 2 : Define report templates
Create custom report templates: key indicators, trends, failure rates, coverage.
3
STEP 3 : Set the AI trigger
Choose if the report should be generated after every test run, daily, or weekly.
4
STEP 4 : Automate distribution
Configure the automatic distribution of the generated report to stakeholders via your usual channels.
The AI agent analyzes success rates, test duration, identified regressions, and coverage by module.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-qase@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.
Eliminate repetitive reporting tasks and focus on improving quality.
Access up-to-date reports as soon as tests finish for increased reactivity.
Ensure consistency of your metrics across all projects in your organization.
Automatically share clear and readable reports with all stakeholders.
Identify vulnerability trends using AI's analytical capabilities on your past data.
Swiftask applies enterprise-grade security standards for your qase automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Reporting time | 2-4 hours / week | Seconds (automated) |
| Data accuracy | Risk of human error | 100% reliable and consistent |
| Report frequency | On-demand (occasional) | Continuous and automated |
| Decision speed | Slow (waiting for report) | Immediate (real-time data) |
Save hours every week on test reporting. Make decisions based on reliable, up-to-date data.