The Growing Influence of AI in Organisational Resilience

As the previous volatile decade has shown us, with cyberattacks, a pandemic, climate change, recessions, and political issues across the globe, organisations face an ever-growing number of unpredictable threats. AI is playing an increasingly central role in how businesses build resilience. 

Traditional frameworks are no longer enough. Companies must now anticipate and adapt to disruption in real time, and recovery windows are becoming shorter and more critical.

Forecasting Risk Before It Strikes

One of the most valuable advantages of AI-driven resilience is its ability to identify potential threats before they occur. Machine learning models can rapidly process vast amounts of data to highlight emerging risks. For example, Amazon uses AI to forecast demand spikes and supply bottlenecks. This ensures availability while reducing excess inventory by 15 to 20 percent [1].

Strengthening Cyber Defences

With digital infrastructure now central to operations, cyberattacks have become more frequent and more sophisticated. AI is a key component in modern cyber defence, enabling real-time monitoring, anomaly detection, and rapid response. It often acts within seconds, far quicker than manual systems can manage [2].

However, AI in cyber security is not risk-free. A 2024 Immuta survey found that 80 percent of data experts agreed AI is making data security more challenging, with rising concern over the exposure of sensitive data [3].

Maintaining Continuity in Crisis

AI can also support business continuity during periods of crisis. Intelligent automation helps maintain critical services when human resources are stretched or systems are under pressure. AI can reallocate resources dynamically, while tools like chatbots can offer real-time customer support and reassurance during service disruptions [4].

A Regulatory Push for Responsible AI

As AI becomes embedded in more critical functions, governments are stepping in to ensure it is used safely and transparently. The EU’s AI Act, for instance, places stricter requirements on high-risk systems, such as those impacting critical infrastructure or employment decisions. These systems must meet rigorous standards for transparency, risk management, and human oversight [5].

This builds on broader regulations such as DORA and the Cyber Resilience Act, reinforcing the need for digital operational resilience and giving organisations greater confidence to use AI to strengthen business continuity.

How A Jolly Consulting Can Help

At AJC, we support organisations in understanding and managing the governance, regulatory, and risk implications of AI adoption.

Whether you are preparing for the EU AI Act, responding to DORA and the Cyber Resilience Act, or assessing your AI risk exposure, our team helps you:

• Interpret evolving AI regulation and assess its impact on your business
• Identify and manage governance risks linked to AI systems and third-party providers
• Strengthen policies, oversight, and internal controls around high-risk AI use
• Prepare leadership teams for regulatory scrutiny and assurance expectations

Our approach is practical, proportionate, and grounded in real business needs. We help you embed AI responsibly, without losing sight of compliance, resilience or strategic clarity.

Contact us on 020 7101 4861 or email us at info@ajollyconsulting.co.uk if you think we can help.

References

1. https://neontri.com/blog/ai-demand-forecasting/
2. https://www.paloaltonetworks.co.uk/cyberpedia/ai-risks-and-benefits-in-cybersecurity
3. https://www.immuta.com/blog/the-ai-security-governance-report/
4. https://drj.com/journal_main/business-continuity-management-and-artificial-intelligence/
5. https://www.pinsentmasons.com/out-law/guides/guide-to-high-risk-ai-systems-un
6. Der-the-eu-ai-act