Swiftask interfaces with Celonis EMS to monitor your processes continuously. When an anomaly occurs, our AI agents alert your teams and suggest solutions.
Result:
Stop suffering from failing processes. Turn your Celonis data into proactive decisions and gain operational agility.
The gap between process mining and corrective action
Celonis EMS excels at identifying bottlenecks and inefficiencies. Yet, once an anomaly is detected, human response time is often too slow. Alerts get buried in complex reports, and corrective actions are deferred.
Main negative impacts:
Swiftask automates the monitoring of your Celonis EMS flows. As soon as a threshold is crossed or a process anomaly is identified, the AI agent intervenes immediately to notify the relevant teams and launch remediation workflows.
BEFORE / AFTER
What changes with Swiftask
Manual approach
An analyst reviews Celonis reports daily. They spot an anomaly in the order cycle. They then have to contact the relevant department via email, explain the issue, and wait for a response. The process is slow and prone to communication errors.
Swiftask + Celonis approach
The Swiftask agent continuously monitors Celonis signals. At the slightest detected deviation, it sends a contextual alert to your communication tool with anomaly details and suggests pre-approved corrective actions.
Setting up your intelligent monitoring
STEP 1 : Target critical KPIs
Define in Swiftask which Celonis EMS indicators require constant monitoring (e.g., payment delays, return rates).
STEP 2 : Swiftask-Celonis API connection
Use our secure connectors to link Swiftask to your Celonis EMS instances. No complex coding required.
STEP 3 : Set alert thresholds
Configure the business rules that trigger the AI agent's intervention, based on your own performance criteria.
STEP 4 : Automate remediation
Configure the automatic actions the agent should take or suggest when an anomaly is detected.
AI capabilities for your Celonis flows
The AI agent analyzes not only the anomaly signal but also historical context and related data to prioritize the most critical actions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-celonis-ems@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.
Benefits of proactive detection
1. Reduced MTTR
The mean time to resolve anomalies is drastically reduced thanks to instant notification.
2. Increased process reliability
24/7 monitoring ensures no inefficiency slips through the cracks.
3. Optimized resources
Your analysts focus on strategic improvement rather than daily monitoring.
4. Standardized responses
Each anomaly is handled according to the best practices defined by your organization.
5. Decision-making transparency
Every automated decision is tracked, facilitating internal audits and compliance.
Security and data governance
Swiftask applies enterprise-grade security standards for your celonis ems automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance metrics
| Metric | Before | After |
|---|---|---|
| Detection time | Several days | A few seconds |
| Analyst productivity | 40% of time in monitoring | 0% (AI automated) |
| Cost of errors | High (margin loss) | Reduced (preventive action) |
| Process compliance | Random tracking | Continuously monitored |
Take action with celonis ems
Stop suffering from failing processes. Turn your Celonis data into proactive decisions and gain operational agility.