Stop wasting time on manual checks. AgentQL extracts your critical data, and Swiftask analyzes it instantly to ensure full compliance.
Result:
Improve reliability, reduce human error, and accelerate your audit processes.
AI Agents
agentql
Connector agentql · Secure OAuth 2.0
Manually verifying compliance is slow, error-prone, and difficult to scale. Teams spend hours extracting data from disparate sources and manually comparing it against regulatory requirements.
Main negative impacts:
High risk of human error
Manual entry and comparison inevitably lead to omissions or judgment errors, compromising audit accuracy.
High operational costs
Mobilizing experts on repetitive extraction and control tasks is a waste of high-value resources.
Lack of agility to changes
When regulations change, adapting manual processes takes time and requires extensive team training.
Combine the extraction power of AgentQL with the AI analysis capabilities of Swiftask. You automate data collection, verification, and reporting continuously.
BEFORE / AFTER
Traditional approach
An auditor manually extracts data from various portals, compiles it into a spreadsheet, then verifies each row against compliance rules. This process takes days and is obsolete as soon as it's finished.
Swiftask + AgentQL approach
AgentQL automates the extraction of target data. Swiftask analyzes this data in real time, flags compliance gaps, and generates a ready-to-use report. Auditing becomes continuous and instant.
1
STEP 1 : Define your audit rules in Swiftask
Configure the compliance criteria and policies that the AI agent needs to check.
2
STEP 2 : Configure extraction with AgentQL
Use AgentQL to target the necessary data sources and extract relevant information in a structured way.
3
STEP 3 : Connect the flows
Integrate AgentQL with Swiftask so the AI agent receives the extracted data automatically for analysis.
4
STEP 4 : Run the audit and receive reports
Activate the agent. It performs the audit periodically and alerts you only when an anomaly is detected.
The agent analyzes the consistency of extracted data, compliance with defined thresholds, and the history of changes.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-agentql@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 human errors through automated extraction and analysis.
Move from point-in-time audits to continuous compliance monitoring.
Free your teams from repetitive tasks to focus on complex risk analysis.
Every check is logged, facilitating preparation for external audits.
Audit thousands of checkpoints simultaneously without extra effort.
Swiftask applies enterprise-grade security standards for your agentql automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Audit preparation time | Several days | A few minutes |
| Data accuracy | Risk of human error | 100% compliant with rules |
| Frequency of controls | Monthly/Quarterly | Continuous (real-time) |
Improve reliability, reduce human error, and accelerate your audit processes.