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Generate automated reports from Fauna with AI

Swiftask queries your Fauna database to extract, analyze, and format your business reports without writing a single line of code.

Result:

Turn raw data into actionable insights instantly. Save hours of manual analysis every week.

Manual reporting on Fauna wastes time

Extracting data from Fauna, cleaning it, and manually creating dashboards is a heavy process. Technical teams waste time on repetitive tasks, while decision-makers wait for reports that are often outdated by the time they arrive.

Main negative impacts:

  • Outdated data: The gap between data extraction and report creation means decisions are based on stale information.
  • IT team overload: Engineers are constantly pulled away to write custom FQL queries for every reporting need, slowing down strategic projects.
  • Manipulation errors: Manually moving data from Fauna to reporting tools increases the risk of errors and data leaks.

Swiftask automates reading your Fauna data. Through a secure connection, the AI analyzes your collections and automatically generates structured reports according to your requirements.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

An analyst requests data from the IT team. They write an FQL query, export to CSV, then spend hours formatting an Excel sheet. The process takes 2 days and must be repeated for every update.

With Swiftask + Fauna

Your Swiftask AI agent is configured to query Fauna daily. It pulls new entries, synthesizes key metrics, and sends the final report via email or Slack. It's immediate, accurate, and effortless.

Setting up your Fauna reporting in 4 steps

STEP 1 : Connect Fauna to Swiftask

Configure your secure Fauna access in Swiftask. The AI connects in read-only mode to extract necessary data.

STEP 2 : Define key metrics

Tell your AI agent what you want to measure: sales, active users, system logs, etc. The AI understands your collection structure.

STEP 3 : Schedule the frequency

Define when the report should be generated (daily, weekly, or triggered by a specific database event).

STEP 4 : Automate distribution

Choose the format and delivery channel: PDF, email, or direct delivery to a collaboration tool.

Data analysis capabilities

The AI agent analyzes time series, complex aggregations, and hidden trends within your Fauna documents.

  • Target connector: The agent performs the right actions in fauna based on event context.
  • Automated actions: Real-time data extraction. Textual synthesis of results. Dynamic chart creation. Automatic alerts when anomalies are detected in the data.
  • Native governance: All queries are logged to ensure the security and compliance of your data.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-fauna@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.

Why automate with Swiftask

1. Faster decision-making

Make decisions based on real-time reports generated from your most recent data.

2. Freedom for the IT team

Your developers are no longer interrupted for simple data extractions.

3. Increased accuracy

AI eliminates human errors associated with manual file handling.

4. Scalability

Manage thousands of documents in Fauna without increasing report preparation time.

5. Total transparency

You maintain full control over the data accessed and the report format.

Security and data access

Swiftask applies enterprise-grade security standards for your fauna automations.

  • Secure connection: Uses limited-scope API keys to ensure Swiftask only accesses necessary data.
  • Data encryption: All data transit between Fauna and Swiftask is encrypted according to industry standards.
  • Access traceability: Review the full history of queries performed by the AI agent on your database.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your productivity

MetricBeforeAfter
Report creation timeSeveral hours (manual)A few seconds (automated)
Data freshness24h+ delayReal-time
IT workloadHigh (constant queries)None (autonomous maintenance)

Take action with fauna

Turn raw data into actionable insights instantly. Save hours of manual analysis every week.

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