Swiftask automatically analyzes and qualifies every incoming data point in Dispatch. Stop wasting time manually sorting your critical information.
Result:
Turn raw data streams into actionable insights instantly, without maintaining complex manual filtering rules.
Manual Dispatch data processing slows down your agility
With an increasing volume of incoming information in Dispatch, manual sorting becomes a bottleneck. Your teams waste valuable time categorizing data, risking human error and processing delays.
Main negative impacts:
Swiftask deploys AI agents capable of intelligently filtering your Dispatch data in real time. The AI understands context, categorizes entries based on your needs, and routes information to the right teams.
BEFORE / AFTER
What changes with Swiftask
Traditional management
A team receives hundreds of Dispatch notifications daily. Each member must open, read, assess urgency, and manually move the item to the right folder or to the right colleague. A slow, tiring, and error-prone process.
Swiftask smart filtering
As soon as data arrives in Dispatch, the Swiftask AI agent analyzes it instantly. It classifies it, extracts key information, and alerts only the relevant person if the urgency is real. The workflow is fluid, precise, and 100% automated.
Automate your Dispatch filtering in 4 simple steps
STEP 1 : Initialize your sorting agent
Create an AI agent in Swiftask and give it clear instructions on your desired filtering and prioritization criteria.
STEP 2 : Connect the Dispatch stream
Link your Dispatch instance to Swiftask. The agent begins receiving data for real-time analysis.
STEP 3 : Define routing rules
Configure the agent's actions: archive, tag, notify a user, or trigger an external process based on the analyzed content.
STEP 4 : Deploy and optimize
Activate the filtering. The agent learns and adjusts to maintain optimal precision as your needs evolve.
Advanced capabilities of your filtering agent
The agent examines each Dispatch stream by evaluating relevance, sentiment, urgency, and contextual keywords for precise classification.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-dispatch@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 AI-powered filtering
1. Increased precision
The AI applies consistent filtering rules, eliminating judgment errors caused by human fatigue.
2. Massive time savings
Automate repetitive sorting tasks and free up hours of work every week for your teams.
3. Real-time reactivity
Critical information is immediately identified and routed, ensuring fast handling.
4. Total scalability
Whether you receive 10 or 10,000 entries per day, the AI agent maintains the same filtering quality without extra effort.
5. Data governance
Maintain control over your stream management with auditable and instantly modifiable rules.
Secure and compliant infrastructure
Swiftask applies enterprise-grade security standards for your dispatch automations.
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 sorting time | Several hours per day | 0 minutes (fully automated) |
| Classification error rate | Significant (variable) | Near zero |
| Emergency processing delay | Dependent on availability | Instantaneous |
| Stream volume handled | Limited by human resources | Unlimited |
Take action with dispatch
Turn raw data streams into actionable insights instantly, without maintaining complex manual filtering rules.