AI Risk Manager in cplace - Data-driven risk management with human-in-the-loop

In many projects, there is no clearly defined role for risk management. This responsibility often falls to project management, which is already working to capacity. At the same time, dealing with risks remains a key success factor: if risks are identified too late, effective countermeasures are virtually impossible.

This is precisely where our AI Risk Manager in cplace based on Citizen AI comes in. It supports project teams in identifying risks automatically and in a data-driven manner - based on the requirements and the associated features and epics. The AI delivers structured, consistent and comparable risk suggestions, regardless of the individual working style of individual users.

Data instead of individual style

In many AI scenarios, the quality of the results depends heavily on how a query is formulated. Our approach avoids this dependency:
The AI Risk Manager is completely data-driven. All risk proposals are based on selected system requirements and the associated features and epics. The AI uses standardized prompts and system messages to always work under the same framework conditions.

Users can use a selection menu to specify which project data should be checked for risks. The result is a list of potential risks that:

are independent of the individual working method,

are based on the same structured data,

and therefore remain consistent and comparable.

Potential risks with human-in-the-loop

The AI suggests potential risks that are automatically displayed in cplace. However, the final assessment remains with the human:

• The Risk Manager checks the suggestions.
• Relevant risks are accepted and converted into project risks.
• Unsuitable suggestions can simply be discarded.
  
  
  

Wizard-based user guides support the entire process step by step. This allows risks to be quickly validated, adapted and, if necessary, converted into complete project risks. Responsibility remains clearly with the human, while the AI provides data-based recommendations as an assistant.

From the idea to the complete risk

If the risk manager accepts a proposed risk, the AI also provides support in the further development, for example by

• Optimizing the risk description,
• Assessing the probability of occurrence and severity,
• Suggestions for suitable countermeasures.
  
  
  

This results in a fully defined risk with a clear mitigation strategy - transparent, consistent and comprehensible.

Conclusion

The AI Risk Manager in cplace combines intelligent data analysis with practical user guidance. Project information is automatically evaluated, potential risks are suggested and made verifiable via wizard-based instructions. Project managers remain in control at all times, make informed decisions and ensure the quality of risk identification.

AI provides speed and structure, while humans ensure relevance and quality - creating real added value in risk management.

Live at the cplace Day 2025

Curious to find out more? Experience the AI Risk Manager demo live for the first time at the cplace Day on October 23 at our stand. See for yourself how data-driven risk management brings speed, structure and control to your projects.

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As a certified cplace partner, demicon supports you in the successful introduction, integration and optimisation of the platform. Benefit from modular solutions, hybrid methods and seamless system integration – delivering maximum transparency, efficiency and flexibility in project and portfolio management.

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