AI impacts on risk management
Impact increases in risk management as AI capabilities mature, becoming transformative.
AI impact and change in risk management
Maturity of AI capabilities in risk management
Stage 1: Prototype Organizations exploring the use of automation, ML, or AI in risk management execution but not in full production
Stage 5: Transformative Fundamental transformation in approaches to the risk framework and methodologies which replace traditional methods used today
Stage 2: Siloed Point solutions in production focused on single activites within risk which may or may not be connected to the organizations GRC
Stage 3: Integrated Connected solutions for end-to-end activities within risk which are connected to GRC with human-in-the-loop for key decisioning
Stage 4: Agentic End-to-end solutions in production focused on key processes within risk which don’t require human-in-the-loop
Future of risk
Short term solutions
