Automate your content tagging with the power of AI
Swiftask integrates with Deep Tagger to classify, index, and organize your documents automatically, freeing your teams from manual data entry.
Result:
Boost productivity and optimize data accessibility through intelligent, consistent classification.
AI Agents
deep tagger
Connector deep tagger · Secure OAuth 2.0
Document chaos is slowing down your growth
Manual tagging is a source of errors and inconsistencies. Without an automated system, documents pile up without actionable metadata, making information retrieval tedious.
Main negative impacts:
Inefficient information retrieval
Poorly tagged documents are invisible documents. Your teams waste valuable time searching for files lost in disorganized folders.
Data inconsistency
Every user has their own tagging logic. The result: a fragmented knowledge base that is impossible to leverage for analysis.
Hidden operational costs
The time spent manually classifying files represents a significant cost that hinders your organization's innovation and agility.
Thanks to the Swiftask and Deep Tagger integration, your documents are analyzed and tagged automatically upon creation or receipt. The AI applies a consistent taxonomy, instantly.
BEFORE / AFTER
What changes with Swiftask
Manual tagging management
A team member receives a report. They must read the document, choose tags from a list that is sometimes outdated, then apply them. If they forget or make a mistake, the document becomes unfindable.
Automation with Swiftask + Deep Tagger
The document is uploaded. The Swiftask agent sends it to Deep Tagger, which extracts key entities and applies relevant tags. The document is immediately indexed and ready for retrieval.
Enable your tagging automation in 4 steps
1
STEP 1 : Configure your agent in Swiftask
Create an agent dedicated to document management. Define the document types to monitor and classification goals.
2
STEP 2 : Integrate Deep Tagger
Connect Deep Tagger to your Swiftask workflow. Configure the taxonomy or let the AI learn your classification standards.
3
STEP 3 : Define the trigger
Choose the trigger: new file in a cloud, email reception, or form submission. The agent detects new content.
4
STEP 4 : Deployment and monitoring
Activate the flow. Track tagging performance from the Swiftask dashboard and adjust precision if necessary.
Advanced capabilities of your tagging agent
The agent analyzes semantic content, document structure, and existing metadata to ensure multidimensional classification.
- Target connector: The agent performs the right actions in deep tagger based on event context.
- Automated actions: Automatic entity extraction (names, dates, amounts). Application of hierarchical tags. Metadata normalization. Automatic routing of documents to the correct folders.
- Native governance: The agent learns continuously from your validations to improve its classification accuracy 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.
Operational benefits of automated tagging
Instant search
Find any document in seconds thanks to rigorous, automated indexing.
Data homogeneity
Apply a uniform taxonomy across your entire organization, without the risk of human error.
Supercharged productivity
Eliminate repetitive entry and classification tasks so your teams focus on high-value analysis.
Improved governance
Stay in control of your data with complete traceability of every tagging action performed by the agent.
Effortless scalability
Manage thousands of documents a day without adding human resources: the AI scales with your needs.
Data security and compliance
Swiftask applies enterprise-grade security standards for your deep tagger automations.
- Secure processing: Your documents are processed via encrypted connections. Swiftask guarantees the integrity of your files.
- Access control: Define granular access rights for your agents and workspace users.
- Full audit trail: Every tag applied is logged to ensure total traceability compliant with audit requirements.
- Guaranteed privacy: Your data is not used to train third-party models without your explicit consent.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your document performance
| Metric | Before | After |
|---|---|---|
| Classification time | Several minutes per document | Under 5 seconds |
| Tagging precision | Variable (human error) | Consistent (standardized) |
| Search time | High (manual search) | Minimal (search by tag) |
| Management cost | High labor cost | Optimized and predictable |
Take action with deep tagger
Boost productivity and optimize data accessibility through intelligent, consistent classification.