Automate quality control for data extracted by Agenty
Swiftask connects your AI agents to Agenty's output. Automatically validate the consistency, format, and relevance of your extracted data in real time.
Result:
Ensure the reliability of your data pipelines and eliminate manual extraction errors.
AI Agents
agenty
Connector agenty · Secure OAuth 2.0
Manual data quality control is a bottleneck
Data extraction via Agenty is fast, but validation is often manual and tedious. Checking thousands of rows for format errors, missing values, or inconsistencies takes valuable time and exposes your business to operational risks.
Main negative impacts:
Risk of critical errors
Corrupted or poorly formatted data can skew your strategic decisions and financial reports.
Slow validation processes
Manual control significantly slows down data availability for your business teams.
High operational costs
Mobilizing human resources to clean data is inefficient and costly at scale.
Swiftask automates quality control for your Agenty data. Our AI agents verify, clean, and validate your data flows according to your business rules, instantly.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Agenty extracts thousands of data points. An analyst must manually open CSV or Excel files, look for format errors, fix anomalies, and validate compliance. This process takes hours and is prone to human error.
With Swiftask + Agenty
As soon as Agenty finishes an extraction, Swiftask automatically analyzes the data. The AI agent identifies inconsistencies, fixes simple formats, and immediately alerts your team if a critical anomaly is found. Data is ready to use in minutes.
4 steps to automate your quality control
1
STEP 1 : Define your business rules
Identify quality criteria: date formats, value ranges, mandatory fields, or consistency between columns.
2
STEP 2 : Connect Agenty to Swiftask
Use webhooks or APIs to stream your data extracted by Agenty to your dedicated Swiftask agent.
3
STEP 3 : Configure the control agent
Set up the agent to validate data, automatically fix minor errors, and flag anomalies.
4
STEP 4 : Automate reporting
Receive an automatic summary of validated data or an alert in case of critical failure on a data batch.
Quality control capabilities of your AI agents
The agent analyzes every cell, detects outliers, verifies email/phone/date formats, and compares data against your reference sets.
- Target connector: The agent performs the right actions in agenty based on event context.
- Automated actions: Automatic format validation. Duplicate detection. Intelligent typo correction. Real-time alerts via email or Teams. Data cleaning before integration into your CRM or database.
- Native governance: All checks are documented. You have a full log of every correction and validation performed by the agent.
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.
Benefits for your operations
100% data reliability
Eliminate human errors with systematic and rigorous validation.
Massive time savings
Automate data cleaning to free up your teams from repetitive tasks.
Enhanced compliance
Ensure your data meets your organization's quality and security standards.
Reduced costs
Less time spent on cleaning means lower cost per processed data point.
Scalability
Process millions of data rows with the same rigor, without adding human resources.
Security and compliance
Swiftask applies enterprise-grade security standards for your agenty automations.
- Secure processing: Your data is processed in an isolated environment, complying with GDPR standards.
- Access control: Fine-grained access rights to ensure only authorized personnel see control logs.
- Full traceability: Complete history of AI actions for easy and transparent auditing.
- No persistent storage: Swiftask does not store your sensitive data beyond the time required for processing.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your data
| Metric | Before | After |
|---|---|---|
| Validation time | Hours (manual) | Seconds (automated) |
| Error rate | High (human fatigue) | Near 0% (AI) |
| Data volume processed | Limited by human capacity | Unlimited |
| Report reliability | Variable | Guaranteed |
Take action with agenty
Ensure the reliability of your data pipelines and eliminate manual extraction errors.