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Trigger Qase test executions automatically with AI agents

Swiftask orchestrates your Qase test campaigns without manual intervention. Trigger, track, and analyze your QA results in record time.

Result:

Accelerate your deployments by eliminating manual bottlenecks in your test management process.

Manual Qase test management slows down your productivity

Running test suites, updating statuses, and centralizing results in Qase takes significant time for QA teams. These repetitive, error-prone tasks slow down your software delivery.

Main negative impacts:

  • Longer feedback loops: Delays between development and QA validation prevent rapid iteration and stall production releases.
  • QA operational overhead: Engineers spend more time configuring test runs than analyzing the actual code quality.
  • Data inconsistencies: Manual data entry into Qase inevitably leads to reporting errors and incomplete documentation.

Swiftask automates the execution of your Qase test plans. Your AI agents trigger suites at the right moment and inject results directly into Qase, ensuring a single source of truth.

BEFORE / AFTER

What changes with Swiftask

The manual way

A tester waits for a build, logs into Qase, manually triggers tests, monitors progress, and documents results one by one after execution.

The Swiftask automation way

As soon as new code is deployed, Swiftask detects the event, triggers the corresponding Qase test suites, and centralizes reports automatically.

Deploy your automated tests in 4 steps

STEP 1 : Set up your Swiftask agent

Create a dedicated QA agent directly within the Swiftask interface with zero code.

STEP 2 : Link to your Qase instance

Connect your Qase workspace via API to allow the agent to access your suites and test cases.

STEP 3 : Configure triggers

Define the events (CI/CD, webhooks, schedules) that automatically initiate test execution.

STEP 4 : Execution and AI reporting

The agent runs the tests, retrieves logs, and updates statuses in Qase in real-time.

AI orchestration capabilities for Qase

The agent analyzes test criticality, dependencies between suites, and environment availability to optimize execution.

  • Target connector: The agent performs the right actions in qase based on event context.
  • Automated actions: Launch specific test suites. Update test case statuses. Retrieve execution results. Notify teams in case of critical failures.
  • Native governance: Every execution orchestrated by Swiftask is logged, offering total visibility into your test history.

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.

Strategic benefits for your QA

1. Increased velocity

Drastically reduce test completion time through continuous orchestration.

2. Data reliability

Eliminate human entry errors by automatically syncing your results into Qase.

3. High-value focus

Free your QA engineers from repetitive tasks to focus on exploratory testing.

4. Unified governance

Centralize the audit of your executions and ensure process compliance.

5. Effortless scalability

Add new test cases to your automation pipeline without infrastructure complexity.

Security and test audit

Swiftask applies enterprise-grade security standards for your qase automations.

  • Secure authentication: Using encrypted API tokens to ensure secure access to your Qase instance.
  • Granular access control: Precisely control your AI agents' permissions across different test suites.
  • Full audit trail: Detailed history of every execution and modification made by the agent in Qase.
  • Enterprise compliance: Architecture designed to meet data security and privacy standards.

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

RESULTS

Impact on your QA performance

MetricBeforeAfter
Launch timeSeveral hours (manual)Instant (automated)
Report accuracyHuman error risk100% reliable
Test coverageLimited by human timeOptimized by AI
Operational costHigh (engineer time)Significantly reduced

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Accelerate your deployments by eliminating manual bottlenecks in your test management process.

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