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.
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:
The AI suggests potential risks that are automatically displayed in cplace. However, the final assessment remains with the human:
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.
If the risk manager accepts a proposed risk, the AI also provides support in the further development, for example by
This results in a fully defined risk with a clear mitigation strategy - transparent, consistent and comprehensible.
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.
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.