Swiftask integrates with FaceUp to automate the analysis and tracking of your reports. Turn ethical alerts into concrete actions instantly.
Result:
Increase your reactivity on compliance issues while ensuring a rigorous and secure handling of all reports.
AI Agents
faceup
Connector faceup · Secure OAuth 2.0
As ethical reports multiply, manual handling becomes a bottleneck. Compliance teams waste precious time sorting, classifying, and prioritizing alerts, increasing the risk of response delays and judgment errors.
Main negative impacts:
Critical response delays
An unreported or delayed alert can escalate a non-compliance situation, exposing the company to legal and reputational risks.
Operational overload
Manual sorting is time-consuming and repetitive, distracting compliance experts from strategic analysis and complex case resolution.
Risk of information loss
Without automation, centralized tracking is difficult, making it hard to identify trends or recurrences in ethical reports.
Swiftask connects your FaceUp alerts to an AI capable of categorizing, prioritizing, and notifying the right people in real-time, ensuring a smooth compliance management process.
BEFORE / AFTER
Traditional management
A report arrives in FaceUp. A compliance officer must manually review it, assess its severity, manually assign it to an investigator, and track the process via email. This process is slow and error-prone.
Augmented management with Swiftask
As soon as a report is filed in FaceUp, Swiftask analyzes it instantly, identifies its criticality, assigns it to the right expert, and notifies stakeholders. Tracking is automated and centralized.
1
STEP 1 : FaceUp integration
Connect your FaceUp instance to Swiftask to centralize the flow of incoming reports.
2
STEP 2 : Define analysis rules
Set up AI rules to categorize reports (e.g., harassment, fraud, conflicts of interest) and define priority levels.
3
STEP 3 : Configure alerts
Determine who should be notified and through which channel (email, Teams, Slack) based on the report's criticality.
4
STEP 4 : Audit and reporting
View the status of all reports in the Swiftask dashboard to ensure total traceability.
The AI agent analyzes the report's text content, detects sentiment, key entities, and urgency levels.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-faceup@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.
AI pre-analyzes every report, allowing for immediate action.
Ensure consistency in report handling, regardless of the investigator.
Identify risk areas through trend analysis of ethical reports.
Processed data adheres to the strictest security standards.
Track your compliance KPIs in real-time from the Swiftask dashboard.
Swiftask applies enterprise-grade security standards for your faceup automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Average sorting time | 2 hours | A few seconds |
| Compliance status | Manual audit | Continuous automated audit |
| Alert reactivity | 48h response time | Immediate reaction |
Increase your reactivity on compliance issues while ensuring a rigorous and secure handling of all reports.