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
Stage 1
Stage 2
Stage 2
Stage 3
Stage 4
Eyebrow - change on tablet through mobile (size: 17, line: 28, Letter: 125)
category: short term solutions
category: short term solutions
category: short term solutions
category: short term solutions & future of risk
Stage 1
Stage 1
Stage 2
Stage 3
Stage 4