Unanswered Questions

I asked a similar question some time ago, still looking for an elegant solution:Context:Currently we do all the extraction within one Data pool, that does also contain the OCPM objects and events. Since we start to connect additional systems, we want to use the approach “1 dedicated Data pool per system, 1 common Data pool for all OCPM objects and events data”Problem:I hoped to simply rebuild the existing extractions in a new Data pool and then switch the Data source within the OCPM-transformations to the new Data pool. This works totally fine for custom objects, but for Celonis objects the Data source is read-only:  What is the most “elegant” solution?One approach would be to create a view for each table: view in the old data source pointing to the underlaying table of the new data pool. ...quite a lot of (maintenance) effort and not sure whether this would work.Another approach is to create full overwrites of all transformations. But by this you loose the connection to the official c

I want to learn Ai in celonis! can i only focus on a specific Ai path ? as Ai is something I'll really like to learn.. Ai is future and i want to upskill myself in Ai plus celonis.. is there need of anything beforehand?

Hi everyone,I'm working with Celonis Machine Learning Workbench (MLWB) and a Knowledge Model as the data source.Current setup:Data is queried from a Knowledge Model into MLWB. A Python/scikit-learn model is trained successfully. Predictions are generated and stored in a pandas DataFrame. The goal is to visualize those prediction results in a Studio View/dashboard.The challenge:I can generate the prediction table in MLWB, but I have not found a way to make the prediction output directly available in Studio.I'm specifically looking for a solution that does not require:Exporting a CSV from MLWB Uploading the CSV into Data Integration Manually creating new data tablesInstead, I'm trying to understand whether there is a more native integration pattern between MLWB and Studio.QuestionsIs it possible to expose a DataFrame or ML prediction output from MLWB directly to a Studio View? Can MLWB prediction results be persisted as a Knowledge Model asset, View asset, or another object that Studio c

Hello everyone, Has anyone tried to use PAM models in Process Simulation already?It’s just been released (August 28), but when I tried to create a new scenario, the option to select a PAM model does not exist (neither in Apps nor in Studio when configuring a model).The documentation just says “In Process Simulation, in the Simulation Configuration Wizard, select your PAM model.”Link to the documentation : Using a PAM model in Process Simulation scenarios Thanks in advance,Joao 

Hi Celonis team and community,I’m currently studying Digital Business & Data Science in Germany, and over the past months I’ve been working deeply on data analytics, AI agents, root-cause analysis, business workflows, and automation.After reading more about the Celonis Platform — especially Process Intelligence, the Context Model, Task Mining, MCP, and AI-agent orchestration — I realized that the direction Celonis is taking overlaps strongly with what I want to build my career around.I have a direct question for Celonis leaders, hiring managers, Celonauts, and people who joined the company early in their careers:If you were in my position today and wanted to become a strong candidate for a Working Student or internship role at Celonis within the next 6–12 months, what would you focus on?In particular:Which Celonis skills or Academy certifications would you prioritize? How deeply should I learn Process Mining and Process Intelligence? What kind of portfolio project would actually st

Hi all,I see no enroll button here. Do you have any idea what the issue could be? 

Hi everyone,I need help figuring out how to execute a Machine Learning script directly from a button in my Celonis app in views (dashboard). I believe I might need to use Action Flows, but I’m unsure about the exact steps to make this work.Here’s what I want to achieve: When a user clicks a button in the Celonis app, it should trigger an ML script. The script could be hosted externally (e.g., a REST API) or executed within Celonis.( atm its not hosted, there is just a file in ipynb format, stored in ml workbench in  analysis. I need guidance on how to set up the Action Flow and link it to the button. Has anyone implemented something similar? If so, could you share the best approach and any potential challenges I should be aware of?Thank you in advance!

Nobody talks about this, but object-centric context might be the real reason AI agents in process mining are becoming possible.Traditional case-centric process mining forces every event into a single case ID. Clean for one process, but real operations don’t work that way.An order touches sales, logistics, finance, procurement, deliveries, invoices and intercompany flows — each with its own objects and relationships.That’s exactly where AI agents need richer context. An agent can’t reliably decide the next best action if the underlying process view has already flattened multiple objects into an artificial case.This is essentially why Celonis built the Context Model — a digital twin that preserves objects, documents and their relationships, enriched with business knowledge and constraints, so AI can reason with the right context rather than guess.My bet: object-centric data foundations and agentic AI adoption will move together, not independently.Reliable agents need more than an LLM. Th

Hi everyone,I urgently need documentation or other reliable resources about the Celonis Prediction Builder for my bachelor’s thesis.Unfortunately, I have been struggling to find detailed information about the Prediction Builder. If anyone has access to documentation, guides, technical information, papers, or other useful resources, I would be extremely grateful if you could share them with me.Any help would be greatly appreciated. Thank you very much in advance!

I have multiple action flows seggregated by country and other attributes. All the AFs are writing to the same table in the data pool. Due to the execution runtime limit, I had to create multiple action flows instead of one action flow.Now all the AFs are scheduled to be executed every Monday. I can not schedule all AFs half an hour apart, as the count of AFs will only grow in the future and writing back to the data model for all AFs may take more than a day to complete.  And to use trigger at each AF is troublesome to maintain.Is there any easy way, where I can trigger the first AF execution on Monday and all other AFs will be executed one by one without any deadlock. 

Hey team,I am going through the task mining course by celonis and as I follow through the course, I am unable to create a task mining project under the task mining session, every time when I create a task mining project it is created under data integration session instead of the project session in task mining. Have anyone faced a similar issue if yes what was the solution?Thanks in advance,Akshay

Hi all,I'm trying to build a cumulative distribution curve in Studio using a line chart.Along the X Axis I have a KPI which gives me 1, 2, 3 , 4, days and so on. On the Y Axis I’m trying to show a cumulative count of items which took the amount of days shown on the X Axis to do something.I have the error in the line chart that there is undefined behaviour, no ORDER BY specified, because in the Line Chart I cannot sort by the KPI used for the X Axis.When incorporating ORDER BY as follows:    RUNNING_SUM( KPI("this is a count(distinct….) kpi"),    ORDER BY (KPI("nr. of days") ASC))I am told that I cannot use the count aggregation function together with a dimension function input.Has anyone faced something similar and found a solution? When I put the two data points into a table and sort the table by the Nr of days it works pefectly but the same sorting functionality is not taken over when I switch that sorted and functioning table to a line chart.Any ideas? Your feedback would be very mu

Hi ,We are building a Core-Plus-Delta localization architecture in Celonis Process Designer/Manager (Symbio). We have a single global master process (e.g., HR-7-3-1a) where specific steps (e.g., Step 16) need to trigger country-specific localized tasks across 10 APAC countries (CN-1a, MY-1a, SG-1a, etc.).Since the Process reference field on a task/call activity node enforces a 1-to-1 limit:What is the recommended best practice in Symbio to link 1 global step to 10 country localized sub-processes?How do you configure this so end-users in Process Navigator get a seamless 1-click experience via Scope Filters (Locations attribute) without seeing duplicate global steps?Thanks!

Hi everyone, I'm facing an issue with Machine Learning Workbench and would appreciate some guidance.I cannot access any resources from within the notebook environment: - get_data_pools() returns 0 data pools- get_spaces() returns 0 Studio spaces- Team connection appears to work- Authentication succeeds without errors- The notebook can connect to Celonis successfully Additionally, when checking permissions through PyCelonis, all services seem to return empty permission lists. In the browser UI, I can access my Studio project and Knowledge Model without any issues, but the same resources are not visible from ML Workbench. My questions are: 1. Does ML Workbench require separate permissions or resource assignments to access Studio Spaces or Knowledge Models?2. Can ML Workbench access Knowledge Models directly, or does it only work through Data Pools/Data Models?3. Has anyone encountered a situation where authentication succeeds but get_data_pools() and get_spaces() both return empty result

Good day, In my Settings view I am asking my App user to select certain events that matches a scenario. How do I include the option in my button for a NULL value if such events are not available in the data set? I save my button input into a variable. Currently I add a button next to my button to revert the variable value to NULL but I am not sure if this is the correct way to do this.Any assistance will be appreciated. Thank you.

Hi Guys,I am currently facing issues with the datapipeline between celonis studio and the machine learning workbench. The ML Workbench is unable to access Celonis data due to outdated celonis_ml dependencies that rely on deprecated sklearn functions. This breaks the built-in data pipeline and prevents direct data model access. As a workaround, data had to be exported manually as CSV and processed externally. An update to the ML environment and data connectors is required to restore full functionality.Is there a fix or a workaround for this?

Is there a way to change the data type of a KPI trend label? For example, I have a KPI called “Receivables” that is 4.5B €, and I want to show the trend with a monthly range. However, it is displayed as 12,345,678.90 instead of 12.3M.Has anyone experienced something similar and found a way to overcome this?Thanks in advance for your help!