CRISIS PREPAREDNESS & AI GOVERNANCE
When AI goes wrong | Preparing for scrutiny
The difference between advising on AI and answering for it.
WHO
Senior communications professionals
In consultancy, in-house leadership or independent advisors who:
- already advise boards and leadership teams on AI
- understand the strategic implications and risks associated with AI
This is not an AI literacy course; it assumes practitioners can already use the tools.
AI adoption is a people and processes problem. Public scrutiny treats it as a leadership one.
These are not rare or unusual, they happen across every sector, at every scale. in organisations that believe their AI use is responsible.
WHY
Leadership and senior comms professionals need to understand
- The risks associated with how and why AI fails
- What leadership is accountable for
- How reputational exposure builds before scrutiny
COURSE OUTLINE
Predict
- Why AI is a communications problem
- Failure modes and their reputational consequences
- AI maturity assessment
Protect
- Five governance pillars for building a record that holds up to scrutiny
- Continuous accountability framework
Prepare
- Navigating a fragmented global regulatory environment
- Design and run an AI scenario exercise with a leadership team
Respond
- Advising leadership when an incident breaks
- Communicating under scrutiny
Recover
- Recovering from an AI-related reputational incident
- Rebuilding stronger governance after scrutiny
COURSE OUTcomes
The knowledge and authority to advise on AI.
- Lead the AI governance conversation
- Advise leadership on AI risk and reputational exposure before an incident forces it
- Build credibility that gains value as scrutiny of AI tightens
Be the practitioner who is ready before the moment that tests it.
Lead on AI before you need to defend it
Decisions that determine outcomes are made before scrutiny arrives.