Tarification

Automatically trigger actions based on your Deep Tagger tags

Swiftask connects Deep Tagger to your business tools. Once content is classified, the appropriate action is launched instantly.

Resultat:

Gain operational agility by eliminating manual sorting steps between your tagging tools and execution systems.

The gap between data analysis and execution

Your Deep Tagger tool analyzes and classifies your information flows with precision. However, once the tag is applied, everything stops. Someone has to read the tag, decide on the action, and execute it in another software. This manual process is slow, error-prone, and limits your responsiveness.

Les principaux impacts négatifs :

Critical decision latency: Between data identification and necessary action, human delay reduces the value of the processed information.
Processing error risk: Manual transfer of information based on complex tags mechanically increases the operational error rate.
Untapped information silos: The richness of data classified by Deep Tagger remains confined in reports instead of becoming action vectors.

Swiftask acts as the intelligent bridge. By listening to Deep Tagger outputs, Swiftask automatically triggers corresponding actions in your SaaS ecosystem, ensuring immediate and error-free execution.

AVANT / APRÈS

Ce qui change avec Swiftask

The classic manual workflow

Deep Tagger identifies a customer ticket as 'Urgent'. An agent receives an alert, opens the ticket, copies the info, creates a Jira task, and sends an email. Reaction time is several hours.

Automation with Swiftask

Deep Tagger identifies the ticket as 'Urgent'. Swiftask intercepts the info, instantly creates the Jira task with max priority, and notifies the team on Slack. Reaction time: milliseconds.

Deploy your automation in 4 key steps

ÉTAPE 1 : Define your tagging rules

Configure Deep Tagger to identify the types of content or categories that should trigger an automation.

ÉTAPE 2 : Connect Deep Tagger to Swiftask

Use our native connectors to link the Deep Tagger output stream to your Swiftask agent.

ÉTAPE 3 : Configure the destination action

Select the tool where the action should be performed (CRM, ERP, ticketing) and set the agent's behavior.

ÉTAPE 4 : Test and launch into production

Validate the workflow on a sample of data before activating real-time automatic triggering.

Action driving capabilities

Swiftask analyzes not just the tag, but also the semantic context surrounding the data to refine the action to be performed.

Connecteur cible : L'agent exécute les bonnes actions dans deep tagger selon le contexte de l'événement.
Actions automatisées : Automatic support ticket creation. Updating profiles in your CRM. Sending targeted notifications. Intelligent routing to the right teams. Conditional archiving based on the tag.
Gouvernance native : Every triggered action is logged in the Swiftask history for total transparency of your automated processes.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-deep-tagger@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Strategic advantages for your business

1. Drastic time reduction

Move from manual processing in hours to instant execution in seconds.

2. Process standardization

Ensure every identical tag triggers exactly the same action, eliminating improvisation.

3. Operational scalability

Handle increasing data volumes without having to hire for repetitive sorting tasks.

4. Focus on high-value analysis

Free your teams from execution tasks to focus on optimizing tagging rules.

5. Unified governance

Control all your Deep Tagger-based automations from a single interface.

Security and data reliability

Swiftask applique des standards de sécurité enterprise pour vos automatisations deep tagger.

End-to-end encryption: Data transiting between Deep Tagger and Swiftask is protected by standard encryption protocols.
Granular access control: Precisely define which agents can trigger which actions in your third-party tools.
Action logging: Every trigger is recorded with timestamp, source, tag, and action performed for a full audit.
Resilient architecture: Our systems ensure high availability so your business processes never stop.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on your productivity

Métrique	Avant	Après
Processing time per data point	Several minutes	Instant
Human error rate	High (manual entry)	Nearly zero
Volume of processed data	Limited by human capacity	Unlimited (automated)
Deployment time	Complex development	Rapid configuration

Passez à l'action avec deep tagger

Gain operational agility by eliminating manual sorting steps between your tagging tools and execution systems.

Normalisez vos documents automatiquement avec la puissance de Deep Tagger

Cas d'usage suivant.