Automatically clean your Celonis EMS process data with AI
Swiftask integrates with Celonis EMS to automate the cleaning and preparation of your process data. Eliminate errors and boost reliability.
Result:
Turn raw data into actionable insights instantly. Reduce preparation cycles by 80%.
AI Agents
celonis ems
Connector celonis ems · Secure OAuth 2.0
Manual data prep is slowing down your Celonis analysis
Process mining demands flawless data. Yet, data extracted from ERPs is often inconsistent, incomplete, or poorly formatted. This manual cleaning step is time-consuming and error-prone, delaying critical strategic decisions.
Main negative impacts:
Unusable data
Inconsistent logs lead to erroneous process analyses, distorting your understanding of operational reality.
IT bottlenecks
Relying on data teams to transform files overloads IT departments and slows down time-to-insight.
High maintenance costs
Custom cleaning scripts are fragile and require constant maintenance whenever source systems evolve.
Swiftask deploys specialized AI agents that clean, normalize, and structure your process data in real-time before injection into Celonis EMS.
BEFORE / AFTER
What changes with Swiftask
The traditional process
Analysts extract raw logs, spend hours in Excel or Python correcting formats, managing missing values, and reconciling IDs. If data changes, the work starts over.
The Swiftask approach
Your Swiftask AI agent ingests raw data, applies intelligent cleaning rules, detects anomalies, and prepares a clean, ready-to-use dataset for Celonis EMS, automatically.
Deploying your cleaning agent in 4 steps
1
STEP 1 : Define cleaning rules
Configure your agent's directives: date formats, null handling, entity reconciliation, deduplication.
2
STEP 2 : Connect data sources
Swiftask connects to your ERPs or data lakes via secure connectors to pull raw process data.
3
STEP 3 : AI engine execution
The agent analyzes and cleans data according to your rules, flagging complex anomalies for human review.
4
STEP 4 : Export to Celonis EMS
Purified data is automatically pushed to Celonis EMS, ready for your process mining analysis.
Intelligent cleaning capabilities
The agent evaluates temporal consistency, format validity, and case attribute completeness.
- Target connector: The agent performs the right actions in celonis ems based on event context.
- Automated actions: Normalization of heterogeneous formats. Intelligent imputation of missing values. Detection and removal of duplicates. Standardization of activity labels. Validation of complex business rules.
- Native governance: Swiftask maintains a complete audit log of every transformation performed to ensure data transparency.
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 for your data team
Analysis accuracy
Clean data ensures a faithful representation of your business processes.
Increased agility
Adapt your cleaning rules in seconds without writing a line of code.
Operational time savings
Automate repetitive prep tasks to free up your experts.
Total scalability
Handle growing data volumes without proportional workload increases.
Guaranteed compliance
Ensure traceability of your data in line with governance requirements.
Data security and governance
Swiftask applies enterprise-grade security standards for your celonis ems automations.
- End-to-end encryption: All processed data is encrypted at rest and in transit.
- Controlled access: Granular permission management for sensitive data access.
- Immutable audit logs: Full traceability of transformations for internal audits.
- GDPR compliance: Cleaning processes that respect data protection standards.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your data operations
| Metric | Before | After |
|---|---|---|
| Preparation time | Days per cycle | Minutes in real-time |
| Error rate | High (manual) | Minimal (AI) |
| Maintenance cost | High (dedicated scripts) | Reduced (no-code) |
| Insight reliability | Variable | Guaranteed |
Take action with celonis ems
Turn raw data into actionable insights instantly. Reduce preparation cycles by 80%.