Swiftask turns data extracted by Agenty into structured, intelligent reports. Gain precision and speed in your decision-making process.
Result:
Stop wasting time consolidating data manually. Get ready-to-use insights in seconds.
AI Agents
agenty
Connector agenty · Secure OAuth 2.0
Extracting data with Agenty is a great start, but turning that raw data into actionable reports is often a tedious manual process. Your analysts spend hours in Excel or BI tools formatting information that could be processed automatically.
Main negative impacts:
Operational time loss
Manual data transformation consumes valuable time that could be dedicated to strategic analysis.
Human error risks
Repeated file manipulation increases the risk of data entry or calculation errors in your reports.
Delayed delivery
Your reports often arrive too late to allow for agile responses to market changes.
Swiftask automates the reading, analysis, and formatting of your Agenty data. Your reports are generated, formatted, and distributed automatically as soon as the data is ready.
BEFORE / AFTER
Without Swiftask
You run an Agenty scrape. Data lands in a CSV. An analyst must open the file, clean columns, create charts, write comments, and email the output. This cycle takes several hours every day.
With Swiftask + Agenty
As soon as Agenty finishes extracting, Swiftask pulls the data, analyzes it per your guidelines, generates a summary report, and emails it to stakeholders. The process is instant and error-free.
1
STEP 1 : Configure your Agenty scraping
Ensure your data is extracted correctly by Agenty and ready to be transmitted via webhook or API.
2
STEP 2 : Connect Agenty to Swiftask
Configure your Swiftask agent to receive data from Agenty. Define your desired output format.
3
STEP 3 : Define your analysis rules
Tell your AI agent how to interpret the data and which KPIs to highlight in the report.
4
STEP 4 : Automate delivery
Choose the delivery channel: email, Slack, Teams, or cloud storage. The report is sent automatically.
Your agent analyzes trends, identifies anomalies in Agenty data, and writes contextual executive summaries.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-agenty@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.
Eliminate repetitive formatting tasks.
Make decisions based on fresh data.
All your reports follow the same quality template.
Handle growing data volumes without extra effort.
AI processes data with consistent precision.
Swiftask applies enterprise-grade security standards for your agenty automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Report creation time | 2-4 hours | A few minutes |
| Error rate | High (manual) | Near zero |
| Reporting frequency | Weekly | Daily or real-time |
| Operational cost | Significant human time | Optimized by AI |
Stop wasting time consolidating data manually. Get ready-to-use insights in seconds.