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.
Result:
Save hours of manual analysis and communicate clear conclusions based on your maps.
AI Agents
felt
Connector felt · Secure OAuth 2.0
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.
Main negative impacts:
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Outdated reporting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.
BEFORE / AFTER
What changes with 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
1
STEP 1 : Define agent goals
Configure an AI agent in Swiftask to monitor your Felt projects and identify essential spatial metrics.
2
STEP 2 : Connect your Felt account
Link your Felt workspace via our secure connector to allow the agent access to necessary data layers.
3
STEP 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).
4
STEP 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.
- Target connector: The agent performs the right actions in felt based on event context.
- Automated actions: Attribute data extraction, textual summary of spatial changes, executive summary creation, integration with your Business Intelligence tools.
- Native governance: Each generated report is archived in Swiftask to ensure full traceability of your mapping project evolution.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-felt@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 benefits of automation
Faster decision cycles
Get immediate insights as soon as data changes on your Felt maps.
Standardized reporting
All your reports follow an identical structure, ensuring quick reading by your teams.
Reduced human error
AI eliminates entry and interpretation errors linked to repetitive manual tasks.
Focus on expertise
Your analysts focus on interpreting results rather than document formatting.
Unlimited scalability
Manage as many Felt projects as needed without increasing your administrative workload.
Geospatial data confidentiality
Swiftask applies enterprise-grade security standards for your felt automations.
- 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.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your productivity
| Metric | Before | After |
|---|---|---|
| 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 |
Take action with felt
Save hours of manual analysis and communicate clear conclusions based on your maps.