Tarification

Qualify FaceUp reports instantly with AI

Swiftask analyzes every incoming alert on FaceUp. The AI sorts, categorizes, and prioritizes reports so your teams handle emergencies first.

Resultat:

Save valuable time on preliminary analysis and ensure maximum reactivity on critical cases.

Report overload slows down your compliance

Manually processing every FaceUp report is a massive challenge. Between critical alerts and minor requests, your teams waste precious time sorting instead of acting. This manual method exposes the organization to unacceptable response delays.

Les principaux impacts négatifs :

Risk of missing critical alerts: In the constant stream of reports, an urgent alert can get buried and handled too late.
Team cognitive overload: Your experts spend their days reading and classifying reports instead of conducting deep investigations.
Lack of processing consistency: Without automation, prioritization criteria vary from one collaborator to another, harming the process's coherence.

Swiftask deploys a dedicated AI agent for FaceUp that analyzes, classifies, and prioritizes every report upon receipt. You define the triage policy, the AI applies it consistently.

AVANT / APRÈS

Ce qui change avec Swiftask

Manual FaceUp processing

A report arrives. A team member must read it, assess its severity, decide the relevant department, and forward it manually. The process is slow and prone to human error.

AI triage with Swiftask

The report is immediately analyzed by Swiftask. The AI detects keywords, assesses risk, and routes the alert to the right channel with a defined priority level. Your teams receive only qualified alerts.

Automate your triage in four steps

ÉTAPE 1 : Connect to FaceUp

Integrate Swiftask with your FaceUp instance to enable real-time reading of new reports.

ÉTAPE 2 : Configure AI rules

Define classification criteria and priority thresholds in Swiftask according to your internal policies.

ÉTAPE 3 : Set routing workflows

Specify which type of alert should be sent to which channel (Teams, Slack, Email) or manager.

ÉTAPE 4 : Monitor and adjust

Monitor triage performance on your dashboard and refine AI rules without code.

Swiftask agent analysis capabilities

The AI analyzes the full text of the report, context, and history of similar alerts for precise classification.

Connecteur cible : L'agent exécute les bonnes actions dans faceup selon le contexte de l'événement.
Actions automatisées : Automatic categorization by risk type. Priority score assignment (Critical/High/Medium/Low). Extraction of key entities (date, location, people). Intelligent routing to assigned managers.
Gouvernance native : The agent continuously learns from your validations to improve triage precision over time.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-faceup@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why automate FaceUp triage

1. Ultra-fast response

Critical reports are identified and escalated in seconds.

2. Total standardization

Every alert is processed according to the same strict rules, guaranteeing compliance.

3. Focus on investigation

Your teams focus on resolving issues rather than administrative sorting.

4. Enhanced traceability

Every triage decision is logged for a complete audit of processes.

5. Operational scalability

Handle growing volumes of reports without increasing your headcount.

Security and data privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations faceup.

Secure processing: Your FaceUp data is processed via encrypted APIs compliant with GDPR.
Granular control: You keep full control over AI rules and alert access.
Auditability: Every agent action is recorded in an immutable audit log.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on your compliance

Métrique	Avant	Après
Average handling time	Several hours	A few minutes
Categorization errors	Frequent (manual)	Minimal (calibrated AI)
Manager productivity	40% of time in sorting	0% (automated triage)

Passez à l'action avec faceup

Save valuable time on preliminary analysis and ensure maximum reactivity on critical cases.

Résumez vos signalements FaceUp instantanément avec l'IA

Cas d'usage suivant.