Tarification

Turn your Keen.io data into actionable AI alerts

Swiftask connects your Keen.io analytics to AI agents. Detect critical variations and receive intelligent alerts as soon as an anomaly occurs.

Resultat:

Move from passive monitoring to instant reaction. Optimize your data-driven decisions.

The flood of Keen.io data without real visibility

You collect massive volumes of data with Keen.io, but important insights get lost in the noise. Your teams only see problems after the fact, lacking monitoring systems capable of interpreting trends in real time.

Les principaux impacts négatifs :

Delayed reaction to anomalies: Drops in conversion or error spikes are only detected after manual analysis, often too late to limit the impact.
Information overload: Complex dashboards overwhelm decision-makers, making it hard to identify key indicators to watch.
Operational misalignment: Data remains siloed with analysts. Operational teams do not have the information when they need to act.

Swiftask automates the monitoring of your Keen.io events. Our AI agents analyze your streams, identify deviations from the norm, and trigger contextual intelligent alerts.

AVANT / APRÈS

Ce qui change avec Swiftask

Manual monitoring

An analyst spends 2 hours a day checking Keen.io dashboards. They manually look for anomalies. If a traffic spike hits on a weekend, it's not seen until Monday morning.

Swiftask AI alerting

As soon as an anomaly is detected in your Keen.io events, the Swiftask AI agent sends an immediate alert with a contextual summary and action recommendations.

Set up your analytical watch in 4 steps

ÉTAPE 1 : Connect your Keen.io source

Integrate your Keen.io event streams into Swiftask via secure API. No code required for the link.

ÉTAPE 2 : Define AI alert thresholds

Configure the agent to monitor specific metrics. The AI learns the normal behavior of your data.

ÉTAPE 3 : Configure alert channels

Choose where to receive notifications: Slack, Teams, Email, or via a webhook to your business tool.

ÉTAPE 4 : Activate continuous monitoring

Your agent monitors your data 24/7. It only alerts you when it's relevant.

Keen.io agent analysis capabilities

The agent analyzes time series, user segments, and event properties to distinguish noise from critical signals.

Connecteur cible : L'agent exécute les bonnes actions dans keen.io selon le contexte de l'événement.
Actions automatisées : Automatic trend detection. Dynamic threshold alerts. Correlation between different events. Sending synthetic reports. Triggering automatic corrective actions.
Gouvernance native : All alerts are archived in Swiftask for post-mortem analysis and continuous improvement.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-keen.io@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 choose Swiftask for Keen.io

1. Early incident detection

React before problems affect your end users.

2. Noise reduction

AI filters out false alerts to notify you only on real stakes.

3. Contextual actions

Each alert contains the data needed to immediately understand the problem.

4. Rapid deployment

Set up complex alerts in minutes without Data Science skills.

5. Centralization

Unify alerts from multiple data sources into a single interface.

Security and data privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations keen.io.

Secure API connection: Read-only access to your Keen.io data via secure tokens.
Stream encryption: All communications between Keen.io and Swiftask are TLS encrypted.
GDPR compliance: Strict management of personal data according to European standards.
Environment isolation: Each workspace is completely isolated to ensure data privacy.

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

RÉSULTATS

Impact on your analytical efficiency

Métrique	Avant	Après
Detection time	Several hours (manual)	Seconds (AI)
False alert rate	High (static thresholds)	Minimal (AI learning)
Analyst productivity	Focus on monitoring	Focus on optimization
Technical complexity	SQL/Python development	No-code configuration

Passez à l'action avec keen.io

Move from passive monitoring to instant reaction. Optimize your data-driven decisions.

Analysez les comportements utilisateurs dans Keen.io par l'IA

Cas d'usage suivant.