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Automatically sort your Dropboard tickets with AI agents

Swiftask connects your AI agents to Dropboard. Your tickets are analyzed, classified, and prioritized instantly upon arrival — with no human intervention.

Result:

Slash ticket processing time. Deliver a fast, consistent customer experience.

Manual ticket sorting slows down your customer support

In many companies, support agents spend hours reading, categorizing, and assigning tickets manually. This repetitive process creates bottlenecks and delays customer issue resolution.

Main negative impacts:

  • High response times: Urgent tickets sit in the global queue before being manually sorted.
  • Categorization errors: Human sorting is prone to error, leading to misassigned priorities or wrong departments.
  • Team burnout: Your experts spend more time managing tickets than solving complex issues.

Swiftask automates workflows in Dropboard. Our AI agents analyze the content of each ticket, identify the topic and urgency, and route them to the right columns or experts.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A customer sends a request. A support agent must open the ticket, read it, decide its priority, and manually move it to the right Dropboard column. This process is slow and delay-prone.

With Swiftask + Dropboard

As soon as a ticket is created, the AI agent analyzes it in real-time. It automatically adjusts status, priority, and assignment in Dropboard. Your team starts work on pre-qualified tickets.

Deploying intelligent sorting in 4 steps

STEP 1 : Define sorting rules

Configure your Swiftask agent to recognize request types: bugs, sales questions, technical support.

STEP 2 : Connect your Dropboard instance

Authorize Swiftask to access your Dropboard boards to securely read and update tickets.

STEP 3 : Enable intelligent analysis

The AI agent processes every incoming ticket and applies the appropriate labels and columns.

STEP 4 : Monitor performance

View sorting statistics on your Swiftask dashboard and adjust the agent's logic as needed.

Intelligent sorting features

The agent analyzes keywords, customer tone, and historical context to make the most relevant sorting decisions.

  • Target connector: The agent performs the right actions in dropboard based on event context.
  • Automated actions: Automatic ticket movement to specific columns, automatic label application, assignment to team members, and priority setting based on SLAs.
  • Native governance: All agent actions are logged to ensure full transparency in ticket processing.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-dropboard@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.

Operational benefits of automated sorting

1. Reduced response time

Tickets are sorted in milliseconds, enabling immediate action.

2. Increased accuracy

AI eliminates human sorting errors, ensuring the right ticket reaches the right expert.

3. Maximum productivity

Your teams focus exclusively on solving problems.

4. Easy scalability

Handle a growing volume of tickets without needing to increase your support team size.

5. Full transparency

Complete tracking of the sorting logic applied by the agent.

Security and privacy

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

  • Secure, limited access: Swiftask uses restricted API access to interact only with necessary data.
  • Data compliance: Your data remains private and is processed according to the strictest security standards.
  • Full audit log: A detailed log of every action performed by the agent on Dropboard is available.
  • Technology independence: Automation does not lock you into a single provider, ensuring total flexibility.

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

RESULTS

Impact on key performance indicators

MetricBeforeAfter
Average triage time5-10 minutesInstant
Assignment errorsHighNear 0%
Resolution timeStandardReduced by 40%

Take action with dropboard

Slash ticket processing time. Deliver a fast, consistent customer experience.

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