Swiftask extracts the essentials from your FaceUp reports. Get a synthetic view of alerts to act faster, while maintaining full confidentiality.
Result:
Save valuable time on document analysis and accelerate the resolution of sensitive cases.
AI Agents
faceup
Connector faceup · Secure OAuth 2.0
Processing large volumes of ethical reports requires constant attention. Reading every report, identifying critical points, and structuring a response takes hours. This bottleneck delays incident handling and exhausts your managers.
Main negative impacts:
Cognitive overload for managers
The volume of raw data prevents quick and efficient reading, increasing the risk of missing crucial information.
Extended response times
Time spent manually summarizing reports delays the implementation of necessary corrective measures.
Risk of inconsistency
Human synthesis can vary from one manager to another, making global trend tracking difficult and less reliable.
Swiftask automates the reading and summarization of your FaceUp reports. Our AI extracts key facts, associated risks, and priorities, allowing you to focus on resolution.
BEFORE / AFTER
Traditional management
The manager receives an alert, opens the full report, reads it entirely, takes notes, and attempts to structure a summary for leadership. This process is repetitive and time-consuming.
Management with Swiftask + FaceUp
As soon as a report is submitted in FaceUp, Swiftask automatically generates a structured summary. The manager receives the essentials in seconds and can immediately decide on the next steps.
1
STEP 1 : Integrate FaceUp with Swiftask
Connect your FaceUp instance to Swiftask to centralize the feed of new reports.
2
STEP 2 : Define your summary templates
Configure the desired output format: executive summary, list of focus points, or risk analysis.
3
STEP 3 : Automate the processing
Swiftask triggers AI analysis upon receipt of a new report, without human intervention.
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STEP 4 : Receive your summaries
Access the summaries directly in your dashboard or via dedicated notifications.
The AI analyzes tone, legal context, severity of facts, and named entities present in each FaceUp report.
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.
Identify emergencies in seconds thanks to clear and concise summaries.
All reports are analyzed using the same grid, ensuring consistent treatment.
Delegate tedious reading work to AI to free up time for listening to victims.
Easily identify recurring trends within your organization via aggregated summaries.
Ensure perfect traceability of the handling of every ethical alert.
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 |
|---|---|---|
| Reading time per report | 10-20 minutes | Under 1 minute |
| Alert responsiveness | Several hours | Real-time |
| Summary accuracy | Variable (subjective) | Constant (standardized) |
| Processing volume | Limited by staff | Scalable without effort |
Save valuable time on document analysis and accelerate the resolution of sensitive cases.