Tarification

Anticipate your results with Celonis EMS and Swiftask

Swiftask analyzes your process data from Celonis EMS to predict future performance. Make informed decisions before issues even arise.

Resultat:

Shift from reactive management to a proactive strategy based on real data.

The lack of visibility into future performance

Most companies analyze performance only after results are in. This delay prevents effective corrective action, turning every negative indicator into an urgent crisis to manage.

Les principaux impacts négatifs :

Delayed response to deviations: Without prediction, you discover operational drifts when it is already too late to act effectively.
Untapped data silos: Your Celonis EMS data holds critical weak signals, but often remains isolated from decision-making tools.
Strategic uncertainty: The absence of predictive models forces managers to fly blind, relying on intuition rather than data.

Swiftask connects to Celonis EMS to turn your process mining data into performance predictions. Our AI agents identify emerging trends and alert you in real time.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional process management

Teams wait for the end of the monthly reporting cycle to note a drop in productivity. A manual investigation is then launched to identify the root cause, weeks after the incident.

Predictive steering with Swiftask

The Swiftask AI agent continuously analyzes Celonis EMS flows. It detects a statistical anomaly and warns you that a performance drop is likely in the next 5 days, leaving you time to act.

Deploying your predictive models in 4 steps

ÉTAPE 1 : Connect to your Celonis instance

Integrate Swiftask with Celonis EMS via secure API. Access your key process data without changing your infrastructure.

ÉTAPE 2 : Define target indicators

Select the KPIs to monitor (e.g., cycle time, compliance rate, throughput). The agent learns from your historical data.

ÉTAPE 3 : Configure AI alerts

Set prediction thresholds. Receive intelligent notifications as soon as the probability of a deviation exceeds your limits.

ÉTAPE 4 : Continuous optimization

Refine your agent's prediction models based on user feedback within Swiftask.

Predictive analytics capabilities

Swiftask processes throughput data, bottlenecks, and cycle time variations to build reliable prediction models.

Connecteur cible : L'agent exécute les bonnes actions dans celonis ems selon le contexte de l'événement.
Actions automatisées : Forecast completion dates, detect compliance risks, estimate workload volumes, proactive KPI alerts, optimization suggestions based on process mining.
Gouvernance native : All predictions are correlated with Celonis logs to ensure total transparency on data origin.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-celonis-ems@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.

Strategic advantages for your business

1. Decision-making agility

Anticipate market changes and performance variations before they impact your results.

2. Resource optimization

Allocate your teams where prediction indicates an imminent need for correction.

3. Reduction in operational costs

Avoid costly inefficiencies by intervening early on deviating processes.

4. Data transparency

Base every decision on rigorous predictive analysis derived from your own process mining.

5. Rapid no-code adoption

Launch complex predictive models without hiring a team of data scientists.

Process data security

Swiftask applique des standards de sécurité enterprise pour vos automatisations celonis ems.

Certified integration: Secure connection to Celonis EMS endpoints with strict permission management.
Data isolation: Prediction data remains within your dedicated Swiftask perimeter.
AI governance: You retain full control over the models and prediction rules applied.

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

RÉSULTATS

Measurable performance

Métrique	Avant	Après
Anomaly detection	Retrospective (after incident)	Predictive (before incident)
Reaction time	Several days	Real-time
Forecasting accuracy	Intuitive / Historical	AI and process mining driven

Passez à l'action avec celonis ems

Shift from reactive management to a proactive strategy based on real data.