It's written on the wall
After over 20 years of business continuity, I have never seen such a radical change. The unpleasant truth is that focusing solely on traditional risks will miss half of the photo. AI systems fail differently. Those ripple effects can be devastated. The organization already wants BCM experts who are proficient in continuity planning and AI risk management.
Two criteria, one reality
ISO 22301 still guides continuity: assess, plan, test and improve risk. Released in 2023, ISO IEC 42001 adds responsible AI management. Treating it as a problem for others will hurt your career. The two standards fit together. Both rely on risk-based process approaches, stakeholder engagement and continuous improvement, so BCM skills are transferred directly to AI governance. Both standards require documentation, defined roles, and evidence of continuous improvement. They range differently. While traditional BCM covers external threats and operational failures, AI governance addresses algorithm bias, model failures, and data quality. By adjusting both views, you get a single dashboard for operational and algorithmic resilience and reduce duplication. Combined, they offer truly comprehensive modern risk management.
Skill gaps and opportunities
Organizations are currently looking for experts who can map AI dependencies, understand the obstacles of the model, and understand the craft recovery procedures of AI-driven processes. Because of this lack of expertise, they pay premium salaries. They also need people who can understand technical failure reports to language executives and translate them into people that regulators can accept. Current skills in impact analysis, crisis communication, and stakeholder coordination remain valuable during AI incidents. You need sufficient AI understanding to apply them.
Career transformation
Successful companies incorporate AI governance into their existing risk programs. I know of BCM experts who have become Chief Restoration Officer by mastering both traditional and digital risks. Others have ended up filling in the roles of professional AI risk management and technical teams and leadership. One practitioner led the death penalty officers in leverage incidents to persuade leaders to fund an integrated resilience roadmap. They all started with the powerful BCM Foundation and added AI literacy.
Get started
You don't need to be a data scientist. First, identify where your organization is already using AI, such as recommendation engines, automatic decisions, predictive analytics, and fraud detection. These systems map like a critical process. What if they fail? How do you discover bad output? Who will monitor them? ISO IEC 42001 provides structure, but can be started informally. Build AI risk awareness within existing frameworks.
Learning curve
AI governance is less technical than expected. You need to understand machine learning models, data pipelines, biases, but you don't need to code them. Treat it like cybersecurity in BCM. Understand attacks without becoming an infiltration tester. For example, you will understand how drifting training data can erode the accuracy of your model over time, or how data pipelines can quietly block incomplete data. Focuses on detecting failure modes, data quality, and performance degradation. These are risk management questions, not technical issues.
Plan the next step
Step 1:
- Please read the ISO/IEC 42001 standard.
- Find a professional training program designed for BCM professionals moving towards AI governance.
- Start attending a webinar covering AI risks from a business-continuity perspective.
- Join the expert group where these topics are being discussed.
Step 2:
- Get a practical experience.
- Volunteering AI-related risk assessments in organizations.
- Shadow Data Science or IT teams will understand how to deploy and monitor AI systems.
Step 3:
- We pursue formal authentication through AI governance.
- Consider whether your organization needs someone to lead an integrated risk management effort.
- Position yourself as an expert who understands both traditional and emerging risks.
I'm looking forward to it
AI governance within business continuity is now at its baseline. Organizations that ignore the risks of AI face regulatory authorities, failures, competitive disadvantages, erode customer trust and slow future innovation. For BCM experts, this is both a challenge and an opportunity. Extend your expertise into unfamiliar areas and become essential during digital transformation. Mastering both can prevent your career in the future. AI is already at the heart of business. The real question is whether you are ready to manage the associated risks.
Training and Implementation Resources
- ISO/IEC 42001 Lead Implementation Training
- A comprehensive program that covers practical implementations of AI management systems
- Specially designed for risk management experts
- Cost: 599 US$
- ISO/IEC 42001 lead implementation
- ISO/IEC 42001 Lead Auditor Certification
- Advanced certification for professionals who perform AI management system audits
- Provides reliability in consulting and evaluation roles
- Cost: 599 US$
- ISO/IEC 42001 Lead Auditor
- ISO/IEC 42001 Document Kit Template
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