Swiftask takes over after Agenty. Your AI agents automatically clean, filter, and normalize your raw data, making it immediately actionable.
Result:
Save hours of manual processing. Ensure data quality for decision-making with zero technical effort.
AI Agents
agenty
Connector agenty · Secure OAuth 2.0
Data extraction is the first step, but cleansing is the real bottleneck. Between inconsistent formats, duplicates, and missing values, your teams spend more time preparing files than actually analyzing them.
Main negative impacts:
Wasted time on manual preparation
Cleaning in Excel or via complex scripts is time-consuming and prone to repetitive human errors.
Data unusable for BI
Non-normalized formats prevent seamless integration into your Business Intelligence tools or CRM.
Decision-making risks
Poor data quality leads to biased analyses and erroneous strategic decisions.
Swiftask automates the cleansing of your Agenty data. Define your normalization rules and let the AI process every row in real time.
BEFORE / AFTER
Without Swiftask
You export data from Agenty. You spend hours manually removing duplicates, fixing date formats, harmonizing names, and handling null values before you can finally use it.
With Swiftask + Agenty
As soon as Agenty completes an extraction task, Swiftask receives the data, applies your AI-defined cleansing rules, and sends the clean result directly to your database or business tool.
1
STEP 1 : Configure Agenty as a source
Connect your Agenty account to Swiftask so every new extraction is automatically passed to your agent.
2
STEP 2 : Define your cleansing rules
Specify in plain language how to clean the data: formatting, duplicate removal, translation, or enrichment.
3
STEP 3 : Test and validate
Run a test on a sample to ensure the cleaned data perfectly matches your standards.
4
STEP 4 : Activate the continuous flow
Your pipeline is live. Every piece of data extracted by Agenty is automatically cleaned and ready for use.
The agent analyzes every cell of your Agenty datasets to identify inconsistencies, formatting anomalies, and missing values.
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.
The AI applies your rules uniformly, eliminating human errors associated with repetitive tasks.
Reduce data preparation time from hours to seconds.
Your cleaned data is ready for any tool: CRM, ERP, or SQL databases.
Modify your cleansing rules instantly by updating your agent's instructions, without touching code.
Swiftask processes thousands of data rows as easily as a dozen, without slowdowns.
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 |
|---|---|---|
| Cleansing time | Hours per day | Real-time |
| Error rate | High (manual) | Near 0% |
| Time to data access | D+1 | Instant |
Save hours of manual processing. Ensure data quality for decision-making with zero technical effort.