Swiftask synchronizes your AI agents with Qase. Centralize test results, automate incident notifications, and streamline communication between testers and developers.
Result:
Reduce feedback loops and improve the quality of your software releases.
AI Agents
qase
Connector qase · Secure OAuth 2.0
Manual test management in Qase creates silos. Testers spend time documenting bugs, developers struggle to get actionable details, and overall test cycle tracking lacks agility.
Main negative impacts:
Information silos
Test results remain isolated in Qase, preventing fluid communication with development teams.
Administrative overhead
Manual bug documentation eats up time that could be spent on deep analysis.
Limited reactivity
Delays between bug detection in Qase and developer resolution slow down the delivery cycle.
Swiftask acts as an intelligent layer above Qase. Our AI agents automatically analyze test results, generate summary reports, and instantly alert the right people.
BEFORE / AFTER
Traditional QA management
A test fails in Qase. The tester must manually create a ticket, copy logs, notify the dev team. The developer then asks for details. This manual ping-pong delays resolution.
Augmented collaboration with Swiftask
As soon as a test fails in Qase, Swiftask captures the error, analyzes it with AI, and sends a contextual summary to the relevant developer. Collaboration is immediate and effective.
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STEP 1 : Connect Qase to Swiftask
Configure API integration in Swiftask to allow your agent to access your test projects.
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STEP 2 : Define your business rules
Set up triggers (e.g., critical test failure) and agent actions (e.g., Slack/Teams report sending).
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STEP 3 : Automate analysis
The AI agent processes Qase logs to isolate potential root causes before human intervention.
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STEP 4 : Optimize continuously
Adjust collaboration workflows based on your team's feedback in the Swiftask dashboard.
Intelligent log analysis, correlation between test failures and development tickets, and automatic synthesis of test campaign reports.
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.
Developers receive complete information immediately, speeding up debugging.
QA and Dev work from the same source of truth, synchronized in real time.
AI handles reporting and routing, freeing up time for exploratory testing.
Every automation action is documented and auditable.
Adapt your workflows to project growth without increasing workload.
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 |
|---|---|---|
| Bug cycle time | Several hours | A few minutes |
| QA team productivity | Low (manual tasks) | High (AI assisted) |
| Communication error rate | Frequent | Minimal |
| Setup time | Complex development | No-code setup |
Reduce feedback loops and improve the quality of your software releases.