Swiftask integrates Deep Tagger to automate data classification and sorting. Stop wasting time manually filtering your incoming information.
Result:
Gain operational clarity by instantly isolating the data that matters most to your business.
AI Agents
deep tagger
Connector deep tagger · Secure OAuth 2.0
Companies handle massive volumes of unstructured data every day. Without an effective filtering system, your teams spend a disproportionate amount of time identifying actionable information among the noise.
Main negative impacts:
Loss of operational efficiency
Manual data sorting is a repetitive task that distracts your staff from high-value missions.
Risk of processing errors
Fatigue from managing massive flows increases the likelihood of missing critical information or misclassifying data.
Slow reaction times
The lack of automated filtering delays decision-making, hindering the responsiveness needed in a competitive environment.
Deep Tagger, orchestrated by Swiftask, analyzes and filters your data streams in real time. Thanks to AI, every piece of data is classified, tagged, and routed to the right process, with zero human intervention.
BEFORE / AFTER
Traditional workflow management
Your teams receive hundreds of documents or logs per day. They must manually read, categorize them into folders or third-party tools, and extract key points. A colossal waste of time.
Intelligent filtering with Swiftask
Deep Tagger analyzes every entry instantly. Relevant data is automatically tagged, filtered, and sent to your work tools, while useless data is archived or ignored.
1
STEP 1 : Define filtering criteria
Configure classification rules for Deep Tagger in Swiftask: which data types are priority?
2
STEP 2 : Connect data sources
Connect your streams (emails, APIs, forms) to the Swiftask agent equipped with Deep Tagger.
3
STEP 3 : Automate routing
Determine where filtered data should be sent (CRM, Slack, database).
4
STEP 4 : Monitor and adjust
Adjust AI tagging models to refine filtering precision continuously.
AI analyzes text content, metadata, and semantic context for precise categorization.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-deep-tagger@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.
Focus only on what matters. Critical data automatically rises to the top of the pile.
Automate sorting to free up hundreds of hours per month for your teams.
Apply uniform classification rules across your entire organization.
The system effortlessly handles increases in incoming data volume.
Connect your filtered results directly to your existing tech stack.
Swiftask applies enterprise-grade security standards for your deep tagger automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Manual sorting time | Several hours per day | Seconds (automated) |
| Classification accuracy | Variable (human) | Standardized (AI) |
| Processing delay | Several days | Real time |
Gain operational clarity by instantly isolating the data that matters most to your business.