Tarification

Generate geospatial reports from Felt automatically

Swiftask transforms your Felt maps into detailed analytical reports. AI extracts insights from your spatial data for rapid decision-making.

Resultat:

Save hours of manual analysis and communicate clear conclusions based on your maps.

Manual spatial data analysis is slow

Extracting insights from complex maps is extremely time-consuming. Teams spend hours navigating Felt, exporting data, then writing reports manually. This slowness hampers strategic decision-making.

Les principaux impacts négatifs :

Fragmented data analysis: Spatial data is siloed. It is difficult to correlate map information with business KPIs quickly.
Outdated reporting: The time required to create a report often makes the information obsolete before it reaches decision-makers.
Operational overload: GIS experts spend too much time on repetitive reporting tasks instead of analyzing complex problems.

Swiftask automates the reading and analysis of your Felt projects. Our AI agents extract relevant data and generate structured reports automatically, ready to be shared.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

You open Felt, identify critical zones, take screenshots, export data to a spreadsheet, then manually write a Word document. The process takes half a day per report.

With Swiftask + Felt

A trigger event (e.g., layer update) activates the Swiftask agent. It queries Felt, analyzes changes, and writes a full report including key insights in minutes.

Automate your Felt reporting in 4 key steps

ÉTAPE 1 : Define agent goals

Configure an AI agent in Swiftask to monitor your Felt projects and identify essential spatial metrics.

ÉTAPE 2 : Connect your Felt account

Link your Felt workspace via our secure connector to allow the agent access to necessary data layers.

ÉTAPE 3 : Set up the trigger

Choose when the report should be generated (e.g., daily, or as soon as a major change is detected on the map).

ÉTAPE 4 : Receive and share your reports

The agent compiles the data and sends the final report via email, Slack, or Teams, ready for stakeholders.

AI-powered geospatial analysis capabilities

The agent examines density, perimeter changes, and attributes of geographic objects present in your Felt maps.

Connecteur cible : L'agent exécute les bonnes actions dans felt selon le contexte de l'événement.
Actions automatisées : Attribute data extraction, textual summary of spatial changes, executive summary creation, integration with your Business Intelligence tools.
Gouvernance native : Each generated report is archived in Swiftask to ensure full traceability of your mapping project evolution.

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 of automation

1. Faster decision cycles

Get immediate insights as soon as data changes on your Felt maps.

2. Standardized reporting

All your reports follow an identical structure, ensuring quick reading by your teams.

3. Reduced human error

AI eliminates entry and interpretation errors linked to repetitive manual tasks.

4. Focus on expertise

Your analysts focus on interpreting results rather than document formatting.

5. Unlimited scalability

Manage as many Felt projects as needed without increasing your administrative workload.

Geospatial data confidentiality

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

Secure API access: The Felt integration uses secure tokens to ensure only Swiftask accesses your authorized projects.
Data encryption: All extracted data and generated reports are protected by standard encryption protocols.
Compliance and audit: Every access to Felt data is logged, allowing for full usage verification.
Data sovereignty: You maintain total control over your Felt data and the automation rules defined in Swiftask.

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

RÉSULTATS

Impact on your productivity

Métrique	Avant	Après
Report creation time	4 hours (manual)	5 minutes (automated)
Update frequency	Weekly	Real-time
Data accuracy	Risk of human error	Algorithmic reliability
Operational cost	High (expert time)	Drastically reduced

Passez à l'action avec felt

Save hours of manual analysis and communicate clear conclusions based on your maps.

Partagez vos données Felt automatiquement avec vos équipes

Cas d'usage suivant.