May 2025 Release Notes
DATA INTEGRATION Public Preview: Zero-copy connectivity with Microsoft Fabric (2025-05-21)
You can now establish zero-copy connectivity between your Microsoft Fabric enterprise data lake and the Celonis Platform, allowing you to share data between the platforms with zero latency. This means that any updates in your data lake are automatically shared to your Celonis data pool.
The benefits of this connection include:
Enables you to mirror your Microsoft Fabric data to Celonis via a zero-copy integration.
Embeds Celonis as a native workload within your Microsoft Fabric environment.
Secures your data as it remains in its original location, preserving your data governance.
To learn more about connecting to your Microsoft Fabric account, see: Microsoft Fabric.
And for a video demo:
PROCESS ADHERENCE MANAGER Support for dynamically-generated or relabelled events and case-centric data models added in Process Adherence Manager (2025-05-20)
Process Adherence Manager now supports dynamically-generated or relabelled events, allowing you to specify the granularity of your process by adding attributes to existing event types. This means you don't need to know all the event types you'll need when you start creating your model; instead you can simply and flexibly add them as required.
You can define dynamically-generated or relabelled events in the following ways:
In the Object and Event Log Builder.
In the Knowledge Model event log definition using PQL.
You can also rename dynamically-generated or relabelled events in the PQL Editor.
We’ve also added support for case-centric data models, meaning Process Adherence Manager now works for both object-centric and case-centric data models.
To support these enhancements, provide better alignment with Studio and give a more consistent experience across the Celonis Platform, we've also made the following changes:
Lead event logs are no longer used in Model Miner.
Dedicated event tables are no longer created for each event type; instead all event logs are added to a single Process Adherence Manager event table.
When exploring deviations, data coverage now shows the percentage of all cases across all involved event logs (weighted average).
We’ve removed the event/event log filter to improve consistency with Views.
STUDIO Copying filters between Views (2025-05-20)
This feature is currently available as a Private Preview only
During a Private Preview, only customers who have agreed to our Private Preview usage agreements can access this feature. Additionally, the features documented here are subject to change and / or cancellation, so they may not be available to all users in future.
For more information about our Private Preview releases, including the level of Support offered with them, see: Feature release types.
Any filters you set in a View can now also be copied into other Views within your Celonis Platform team, saving you from manually configuring them each time. Copied filters are saved on a clipboard for 10 minutes, with a prompt for you to apply the filter when you open subsequent Views.

To learn more about copying filters between Studio Views, see: Copying filters between Views.
STUDIO Updated Python tool for Process Copilots (2025-05-19)
The Python tool in Process Copilots is designed to allow ad-hoc Python code executions. With this launch, we’re releasing a visual editor for the Python tool and allowing users to customize the tool. This editor can be added to the configuration settings of a Process Copilot as a tool to utilize both of these configuration methods.

In the Intelligent Configuration, the Large Language Model (LLM) generates Python code based on the questions users ask to this Process Copilot. For Process Copilots utilizing the Intelligent Configuration, the Python code is generated ad-hoc as questions are asked. In the Intelligent Configuration, to run Python code, the LLM needs a dataset on which to run the code. To provide the Python tool with an available dataset, you need to have at least one data retrieval tool activated (get_data, pql_tool, get_process_data - depending on the use case).
In the Custom Configuration you can manually define the dataset to run the Python code on. Users can then enter their Python code in an editable interface which will work dynamically to expand the code as it is written. This interface also allows users to define which inputs can be used as variables or parameters by end users when asking questions in the chat. Users can also use the built-in code assistant to create their Python code using natural language commands to describe the use for this code.

For more information, see Tool Activation.
DATA INTEGRATION Changes to Celonis IP addresses (eu-2, jp-1, uk-1, us-2) (2025-05-16)
We’ve added Celonis IP as origin addresses for eu-2, jp-1, uk-1 and us-2. If you have IP allowlisting configured for Celonis-originating traffic, you must add the following IP addresses to avoid connectivity issues with cloud databases and/or on-premises services:
Realm | IPs to be added |
---|---|
eu-2 | 20.31.2.184 20.31.2.185 20.31.2.186 |
jp-1 | 20.44.169.64 20.44.169.65 20.44.169.66 |
uk-1 | 51.142.213.244 51.142.213.245 51.142.213.246 |
us-2 | 20.99.152.112 20.99.152.113 |
For:
A full list of Celonis IP as origin addresses for eu-2, jp-1, uk-1 and us-2, see Celonis IPs as origin.
Information about subsequent steps, see Action require after 2025-09-17.
PI Graph Transformation enhancements (2025-05-15)
We've made a number of enhancements to our Objects & Events transformations, including the following:
Running arbitrary SQL: You can now run any SQL in the SQL editor, regardless of whether the ID column in populated. This enables you to write directly in the SQL editor, rather than returning to the Data Integration area to write a query.
Script errors now highlighted: When running a transformation, script errors are now highlighted. A warning message is displaying which details the missing objects, lines, and columns, making it easier for you to locate and correct issues.
Select perspectives when manually running data jobs: When executing an object-centric data jobs manually, you can now select the relevant perspective(s). The relevant transformations for this perspective are then run automatically.
Duplicate primary key errors: Rather than waiting until the end of the pipeline for the data model load, duplicate primary keys now cause an error directly within the transformations.
Dynamic sizing of information in transformations editor: You can now dynamically view relevant information such as the Data Source schema explorer without the need to expand/shrink panels. This reduces the number of clicks needed, significantly saving you time.
For more information about modeling your objects and events, see: Creating custom transformations.
PI Graph Run multiple data jobs for different perspectives (2025-05-15)
You can now run multiple object-centric data jobs in parallel for different perspectives. If there are overlaps in your required objects or events, the respective transformation will be queued to avoid read-write conflicts.
In this example, a 'Sales Order' object is being used in both the Accounts Receivable (AR) and Order Management (OM) processes. These data jobs are scheduled to run at the same time:

When you check the transformation logs, you can then seen that the OM task is queued while the AR task runs. Once the AR task has finished running, the OM automatically executes:

For more information, see: Creating custom transformations.
STUDIO Custom KPI Groups in Process Explorer and Variant Explorer now in General Availability (2025-05-15)
A new feature has been added to both Process Explorer and Variant Explorer which enables analysts to create groups of custom process KPIs that can be displayed in the process graph. Analyst users can create a KPI Group by selecting existing process-related KPIs or defining their own KPIs using the visual editor. The analyst can then share these KPI Groups with their end users who will be able to display these KPI Groups in the process graph of their Process Explorer or Variant Explorer. KPI Groups can be created for both case-centric (single event log, multi-event log) and object-centric process exploration components.
Note
Custom KPI Groups are only available in Studio Views. For components created in Legacy Views, KPIs are still defined using YAML in the Knowledge Model.
The new built-in visual editor allows users to create KPIs without advanced YAML skills and speeds up the creation process for new KPIs. Users are able to define KPIs directly in Studio without having to switch to the Knowledge Model or perform manual coding.
Both KPI Groups and the individual KPIs within those groups are created and stored in a Knowledge Model. As a result, if a change is made to an individual KPI, that change is automatically updated in any KPI Groups to which that KPI was added.

For more information see Custom KPI Groups in Process Explorer and Custom KPI Groups in Variant Explorer.
ADMIN & SETTINGS AI Settings adding new deployment option and additional usage details (2025-05-12)
The AI Settings page in Admin & Settings is being updated to include a new option for Large Language Model (LLM) deployments and provide Admins more insight into the AI assets being used by their team. These new features will provide Admins with an additional option for their AI services, as well as providing both more insight into where their assets are being used and more control over the AI Output consumption.
Admins will be able to configure the Bring your own Model (BYOM) option to connect self-hosted LLMs on Azure, AWS and OpenAI compliant environments to their Celonis teams. This feature allows Admins to reuse their existing LLM deployments in Celonis.
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Users can also see the specifics of their AI consumption in the Consumption Details screen by clicking the “See consumption details” in the upper right of the AI Settings screen. From this screen, users can see the total number of outputs being consumed by each Service Provider, as well as a more detailed breakdown of each AI product in the Consumers table, including the assigned LLM, when the product was last used, and the number of outputs consumed.
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The new AI Assets in Studio tab provides a detailed breakdown of the team’s AI Assets, such as Annotation Builders and Process Copilots, that are currently in use. From this tab, Admins can see where each AI asset is being used, the type of asset, the LLM assigned, and the service provider. Admins can also use the toggle switch to disable individual assets and pause their AI Output consumption.
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For more information, see AI Settings.
STUDIO Hide events in Process Explorer (2025-05-06)
Process Explorer is adding a menu for users to control the list of events and activities displayed in their process graph by hiding any specified activities that the user is not currently interested in. For example, users can hide an activity that occurs in all cases or activities that are generated automatically as part of the workflow. By hiding these activities, the user can focus on the activities they are most interested in.
Note
This feature is only accessible in Process Explorer when using sliders to control the process graph and will not be available when using the panel.
The menu is displayed in the upper right of the Process Explorer and shows both the total number of activities and the number of activities currently selected, such as 17 of 21 events in the multi-object screenshot below. After clicking to expand the menu, users can select the check boxes to indicate which activities to include in the process graph. Removing the check mark will cause an activity to be hidden.
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Activities menu - case centric | Events menu - multi-object |
Once all activities have been selected, click Update to apply the changes and refresh the process graph. The totals and KPIs on the process graph are updated based on the selected activities. The global sliders are also updated to reflect the total number of available activities based on the menu selections.
Note
Hiding an activity from the process graph does not filter out cases with that activity, it only prevents it from displaying in the graph. The counts in the process graph will be updated when an activity is hidden and are updated again if an activity is added back to the process graph.
For more information, see Show / Hide events.
PI Graph Object & Events enhancements (2025-05-05)
We've made two enhancements to our Objects & Events product area:
Object data preview: You can now preview your objects once a transformation has successfully run, giving you a 100 row sample of the data.
You can access a data preview while viewing the object by clicking Data preview (or alternatively clicking Options - Data preview for each object).
Enhanced integration between Perspectives and Studio: When viewing your perspectives, you can now see the last time the data model loaded and which Studio packages the perspectives are used in. You can also click the data model name to view a preview.
For more information about modelling your objects and events, see: Modeling objects and events.
CELONIS FOR CONSULTING New project plans released and upgrades to existing plans (2025-05-05)
With this release, we've added five new project plans to our Celonis for Consulting product area. These new project plans are:
Audit: This plan allows for leveraging Celonis to conduct enhanced and faster external audits of clients' quarterly and annual financial statements across core business processes.
Blueprint: This plan enables Celonis' process management capabilities for establishing strong governance for compliance, risk reduction, and process standardization. Gain operational visibility, identify improvements, and build standardized, compliant processes to reduce risk and enhance efficiency.
Modeling: This plan elevates BPO/AMS engagements with standardized governance using Celonis Process Management (CPM). This ensures sustained compliance and enables BPO process optimization for consistent operations and continuous refinement of processes.
Scan: This plan accelerates process optimization using Workforce Productivity (Task Mining). It provides rapid, light-touch analytics to capture work performance and quickly identify improvement areas and develop data-driven business cases for impactful change.
Monitor: This plan optimizes BPO/AMS by scaling Workforce Productivity (Task Mining). Gain data-driven insights into outsourced workforce activities to collaboratively identify and implement operational enhancements for increased productivity and margins.
We've also significantly upgraded our existing project plans (Discover, Execute, and Operate), introducing new features and enhanced capabilities.
For an overview of these plans, head to: Celonis for Consulting.
CPM Login page refresh (2025-05-02)
We've updated the CPM login page to use Celonis branding and logos. All other functionality remains the same.
For more information, refer to the documentation.