Pricing

Streamline data workflows with Deep Tagger intelligent filtering

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.

Information overload is slowing down your business processes

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

What changes with Swiftask

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.

Implementing intelligent filtering in 4 steps

STEP 1 : Define filtering criteria

Configure classification rules for Deep Tagger in Swiftask: which data types are priority?

STEP 2 : Connect data sources

Connect your streams (emails, APIs, forms) to the Swiftask agent equipped with Deep Tagger.

STEP 3 : Automate routing

Determine where filtered data should be sent (CRM, Slack, database).

STEP 4 : Monitor and adjust

Adjust AI tagging models to refine filtering precision continuously.

Advanced analysis capabilities of Deep Tagger

AI analyzes text content, metadata, and semantic context for precise categorization.

Target connector: The agent performs the right actions in deep tagger based on event context.
Automated actions: Automatic thematic classification. Named entity extraction. Priority-score based filtering. Conditional data routing to third-party tools.
Native governance: The system learns from your corrections to improve filtering precision over time.

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.

Strategic advantages for your company

1. Automatic prioritization

Focus only on what matters. Critical data automatically rises to the top of the pile.

2. Drastic reduction in processing time

Automate sorting to free up hundreds of hours per month for your teams.

3. Data consistency

Apply uniform classification rules across your entire organization.

4. Increased scalability

The system effortlessly handles increases in incoming data volume.

5. Seamless integration

Connect your filtered results directly to your existing tech stack.

Data security and compliance

Swiftask applies enterprise-grade security standards for your deep tagger automations.

Secure processing: Your data is processed in a secure environment compliant with GDPR standards.
Strict governance: Control who accesses filtering rules and processed data.
Auditability: Every filtering decision is tracked for complete transparency.
Technological mastery: Swiftask ensures the independence of your business processes.

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	Seconds (automated)
Classification accuracy	Variable (human)	Standardized (AI)
Processing delay	Several days	Real time

Take action with deep tagger

Gain operational clarity by instantly isolating the data that matters most to your business.

Boost search relevance with Deep Tagger and Swiftask

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