Automate your bug triage in Qase with AI
Swiftask analyzes your test feedback in Qase. It qualifies, categorizes, and prioritizes bugs instantly for your QA teams.
Result:
Save hours every week by eliminating manual ticket sorting and accelerate the resolution of critical incidents.
AI Agents
qase
Connector qase · Secure OAuth 2.0
Manual bug triage slows down your release cycles
Your testers and developers spend valuable time manually sorting bugs in Qase. Between duplicates, missing information, and miscalculated priorities, the backlog becomes unmanageable and velocity drops.
Main negative impacts:
QA backlog saturation
The accumulation of unsorted bugs makes it difficult to identify critical issues that actually impact the end user.
Wasted time in qualification
Technical teams waste time re-qualifying bugs that could have been filtered or better documented from the start.
Inconsistent communication
Without automated triage rules, criticality criteria vary from one tester to another, creating confusion within the team.
Swiftask acts as an intelligent assistant connected to Qase. It reads every new bug, checks for relevance, classifies it according to your standards, and automatically assigns it to the right team.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A bug is reported. A tester must check if it already exists, manually categorize it, assess its priority, and assign it. It's a repetitive task that interrupts the continuous testing flow.
With Swiftask + Qase
As soon as a bug is created in Qase, the AI agent analyzes it. It checks for duplicates, extracts relevant logs, defines the priority level, and assigns it automatically. Your QA team only handles validated bugs.
Setting up your intelligent triage in 4 steps
1
STEP 1 : Define your triage criteria
Configure in Swiftask the criticality and categorization rules specific to your project on Qase.
2
STEP 2 : Connect your Qase instance
Link Swiftask to your Qase project via API. The connection is secure and respects your existing access.
3
STEP 3 : Enable AI analysis
The agent starts monitoring new incoming tickets to process them according to your business guidelines.
4
STEP 4 : Monitor and adjust
Check the dashboard to validate AI decisions and adjust rules for optimal precision.
Advanced features for Qase
The agent evaluates the title, description, reproduction steps, and attachments for a complete analysis.
- Target connector: The agent performs the right actions in qase based on event context.
- Automated actions: Automatic duplicate detection, intelligent assignment by module, custom field updates, notifications to managers via Slack/Teams.
- Native governance: All triage actions are logged for complete transparency on your backlog management.
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.
Why automate your triage with Swiftask
Reduced cycle time
Developers receive qualified and prioritized tickets, reducing initial diagnostic time.
Quality standardization
Every bug is handled with the same rigorous rules, ensuring consistency across the project.
Focus on value
Your testers focus on finding complex bugs rather than administrative data entry.
Seamless integration
Swiftask adapts to your existing workflow in Qase without requiring changes to your testing processes.
Scalability
Manage thousands of tickets without increasing your QA team's workload.
Security and compliance
Swiftask applies enterprise-grade security standards for your qase automations.
- Secure Qase API: Use of encrypted API keys to ensure the integrity of your test data.
- Data privacy: Your test data is used only for processing, in accordance with our GDPR commitments.
- Full control: You maintain control over the rules and can disable automation at any time.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your productivity
| Metric | Before | After |
|---|---|---|
| Manual triage time | 5-10 minutes per bug | 0 minutes (automated) |
| Backlog duplicates | 15% of tickets | Less than 2% |
| Average response time | Several hours | A few minutes |
Take action with qase
Save hours every week by eliminating manual ticket sorting and accelerate the resolution of critical incidents.