Systems and methods for risk management

A risk management method comprising:

• receiving input of a control opportunity score, a numerical status score, and one or a plurality of risk impact values for a respective plurality of target objectives for a given risk;
• calculating a residual risk value for the given risk based on the control opportunity score and an inherent risk value;
• calculating a relative risk value for the given risk based on the residual risk value, the numerical status score, and the one or the plurality of risk impact values;
• generating a prompt including the relative risk value and a description of the given risk;
• inputting the prompt into a generative model to generate a recommendation for mitigating the given risk;
• and
• outputting the recommendation generated by the generative model.

A risk management method comprising:

• receiving input of an impact score, a likelihood score, a control opportunity score, a numerical status score, and one or a plurality of risk impact values for a respective plurality of target objectives for a given risk;
• calculating an inherent risk value as a product of the impact score and the likelihood score;
• calculating a residual risk value by calculating a quotient of the control opportunity score divided by a first predetermined constant, multiplying the quotient by the inherent risk value, then summing the resulting product with an additional quotient of the control opportunity score divided by the first predetermined constant;
• calculating a current averaged value weight for each of the one or the plurality of risk impact values for the respective plurality of target objectives;
• calculating a summed value weight by summing the calculated current averaged value weights for the one or the plurality of risk impact values;
• calculating a relative risk value by multiplying the residual risk value by the summed value weight, multiplying the resulting product by a quotient of the numerical status score divided by a second predetermined constant, and then summing the resulting product with an additional quotient of the numerical status score divided by the second predetermined constant;
• generating a prompt including the relative risk value and a description of the given risk;
• inputting the prompt into a generative model to generate a recommendation for mitigating the given risk;
• and
• outputting the recommendation generated by the generative model.