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

In many projects, risk management is a core responsibility of project management. However, in practice, there is often little time to systematically identify, assess, and continuously monitor risks. As a result, risks frequently become visible only once they have already impacted time, cost, or quality — making early mitigation considerably more difficult.

The AI Risk Manager in cplace, powered by Citizen AI, addresses exactly this challenge. It supports project teams in enhancing the quality of their risk management processes by automatically and data-drivenly identifying potential risks.

Its foundation lies in the project’s documented requirements, as well as the associated features and epics. The AI provides structured, consistent, and comparable risk suggestions, thereby increasing transparency, efficiency, and decision-making accuracy within risk management.

Data instead of individual style

In many AI scenarios, the quality of results is determined both by the way the query is formulated and by the underlying data foundation.

Our AI Risk Manager provides a simple yet effective solution to these challenges:
The AI Risk Manager operates in a fully data-driven manner, based on the data available in cplace. All risk suggestions are derived from selected system requirements as well as the associated features and epics. In doing so, the AI applies standardised prompts and system messages to ensure consistent operating conditions at all times.

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.

1 AI Risk Manage Example cplace

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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FAQ - Frequently asked questions about AI Risk Manager:

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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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