Tarification

Update Felt layers automatically with AI agents

Swiftask links your data sources to Felt. Your maps stay current, reflecting the latest field changes or data updates, without any manual input.

Resultat:

Save significant time on map maintenance and ensure peak accuracy for your teams.

Manual Felt layer updates kill your productivity

Keeping maps updated in Felt often requires constant human intervention. As soon as new data arrives, it must be extracted, formatted, and updated in the corresponding layer. This repetitive process exposes your projects to errors and unacceptable processing delays.

Les principaux impacts négatifs :

Critical data lag: The time gap between data collection and visualization on Felt reduces the relevance of your decision-making.
Operational overload: Your experts spend more time manipulating files than analyzing the essential geospatial insights.
Human error risks: Repetitive manual entry increases the likelihood of typos or formatting errors, undermining map reliability.

Swiftask automates your Felt data lifecycle. Your AI agent detects new info, processes it, and updates your layers instantly when changes occur.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional manual process

A technician receives new data. They must convert it, open Felt, delete the old layer, upload the new one, and reconfigure styles. It's slow, tedious, and frustrating.

Automation with Swiftask

As soon as data is available in your database, Swiftask processes it and updates the Felt layer via API. The map updates continuously without anyone lifting a finger.

Deploy your Felt automation in 4 steps

ÉTAPE 1 : Agent definition

Configure an agent in Swiftask dedicated to monitoring your geospatial data sources.

ÉTAPE 2 : Felt connector setup

Integrate your Felt credentials to allow Swiftask to interact directly with your maps and layers.

ÉTAPE 3 : Trigger configuration

Define the update conditions: time intervals, arrival of a new file, or changes in an external database.

ÉTAPE 4 : Workflow activation

Launch the agent and monitor the automatic real-time synchronization from the Swiftask dashboard.

Advanced features for your Felt maps

The agent analyzes format, projection, and data integrity before every update to ensure perfect compatibility with Felt.

Connecteur cible : L'agent exécute les bonnes actions dans felt selon le contexte de l'événement.
Actions automatisées : Incremental updates of existing layers. Automated replacement of datasets. Automatic cleaning and formatting of source data. Error notifications for corrupted data.
Gouvernance native : All updates are logged, enabling immediate rollback if necessary.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-felt@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 benefits for your projects

1. Real-time data

Your maps always reflect the most recent state of your field activities.

2. Increased productivity

Total removal of manual layer update tasks.

3. Data reliability

Automatic standardization of import processes, eliminating human errors.

4. Full scalability

Manage hundreds of layers without increasing manual workload.

5. Full control

Centralized tracking of every update via the Swiftask interface.

Security and governance

Swiftask applique des standards de sécurité enterprise pour vos automatisations felt.

Secure authentication: Swiftask uses secure tokens to interact with your Felt account without exposing your main credentials.
Access management: Precisely control which agents can modify which layers in your workspace.
Audit logs: Every update is logged, ensuring full transparency on your maps' evolution.
Compliance: Your data remains private and is processed according to the strictest security standards.

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

RÉSULTATS

Measured operational performance

Métrique	Avant	Après
Update time	30-60 min (manual)	Seconds (auto)
Error rate	High (human input)	Near zero
Updates per day	Limited by humans	Unlimited
Deployment time	Weeks (scripting)	Minutes (no-code)

Passez à l'action avec felt

Save significant time on map maintenance and ensure peak accuracy for your teams.

Optimisez vos analyses de zones géographiques avec Felt et l'IA

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