Tarification

Turn Peliqan data into proactive alerts with AI

Swiftask connects your Peliqan datasets to an artificial intelligence capable of detecting anomalies or opportunities in real-time.

Resultat:

Stop searching for information; let your data alert you. React before issues become critical.

The risk of reactive data analysis

Waiting for a dashboard to be checked to identify a trend or anomaly in Peliqan is costly. Your teams waste valuable time manually monitoring indicators, often too late to act effectively.

Les principaux impacts négatifs :

Delayed anomaly detection: Errors or gaps in your Peliqan data are spotted after the fact, limiting your ability to correct course quickly.
Manual monitoring overload: Your analysts spend too much time refreshing reports instead of optimizing business processes.
Missed opportunities: Without automatic alerts on specific thresholds, weak signals indicating growth opportunities go ignored.

Swiftask continuously monitors your Peliqan data flows. As soon as a threshold is breached or a suspicious pattern is identified, the AI agent triggers an immediate alert to your communication tools.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional approach

An analyst logs into Peliqan daily to manually check key indicators. If an anomaly occurs on Tuesday, it's only seen on Wednesday morning. The reaction time is slow and dependent on human intervention.

Swiftask + Peliqan approach

As soon as a data point exceeds a predefined limit in Peliqan, Swiftask analyzes the context and sends a targeted alert instantly. The team is informed in real-time and acts before the impact.

Setting up your Peliqan alerts in 4 steps

ÉTAPE 1 : Connect your Peliqan source

Integrate your Peliqan datasets with Swiftask via our secure connector, with no technical complexity.

ÉTAPE 2 : Define your monitoring rules

Configure the conditions and thresholds that should trigger an intelligent alert.

ÉTAPE 3 : Set the alert channel

Choose where to receive the alert (Teams, Slack, Email) and personalize the message generated by the AI.

ÉTAPE 4 : Activation and AI monitoring

Your AI agent monitors Peliqan 24/7 and only notifies you when it is truly necessary.

Data analysis capabilities

The Swiftask AI agent doesn't just use basic thresholds: it understands seasonality and trends to reduce false positives.

Connecteur cible : L'agent exécute les bonnes actions dans peliqan selon le contexte de l'événement.
Actions automatisées : Time-series anomaly detection, critical threshold alerts, automatic data status summaries, triggering downstream corrective actions.
Gouvernance native : All alerts are centralized with a full audit log for total traceability.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-peliqan@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 your Peliqan monitoring

1. Reduced detection time

Move from manual monitoring to instant notification as soon as an event occurs.

2. Focus on exceptions

AI filters out the noise and only alerts you to what truly requires human attention.

3. Increased responsiveness

Act within minutes on data that would have taken hours to analyze.

4. Data governance

Every alert is tracked and linked to a clear business rule in your platform.

5. No-code adaptability

Adjust your alert criteria in a few clicks without any code changes or complex queries.

Security and privacy

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

Encrypted connection: Access to your Peliqan data is via secure and authenticated streams.
Environment isolation: Each Swiftask workspace is completely isolated to ensure the confidentiality of your datasets.
Full audit trail: Review the history of all triggered alerts and data access.
Compliance: Designed to meet the security standards of demanding enterprises.

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

RÉSULTATS

Impact on your operational efficiency

Métrique	Avant	Après
Average detection time	24h - 48h	Under 2 minutes
Time spent on reporting	Weekly hours	100% automated
Alert precision	Many false positives	High relevance (contextual AI)
Data ROI	Underutilized data	Data-driven decision engine

Passez à l'action avec peliqan

Stop searching for information; let your data alert you. React before issues become critical.

Synchronisez Peliqan et vos sources de données en un flux unifié

Cas d'usage suivant.