Resilience in the age of AI: the delicate art of balance – Maddyness

Artificial intelligence is today a formidable performance accelerator. In a context where French companies are seeking to strengthen their competitiveness, the benefits it brings cannot be ignored. Automation, anticipation, responsiveness: AI is transforming the way organizations produce, decide and interact.

Its adoption, however, cannot be a mere technological reflex or a headlong rush. It must be part of a strategic approach based on specific use cases, a clear ethical framework and a long-term vision. Because while AI strengthens performance, it also redefines the contours of resilience by creating new dependencies that must now be anticipated and managed.

At a time when resilience is becoming an imperative, driven in particular by the strengthening of regulatory frameworks such as NIS2 and DORA as well as by the growing expectations of stakeholders regarding business continuity, leaders must now think of performance and resilience as two sides of the same strategy.

The advent of AI, like that of cyber risk yesterday, requires these new parameters to be integrated into continuity strategies. The challenge is no longer just to protect systems, but to ensure the organization’s ability to continue operating when these technologies become unavailable.

Artificial intelligence, a powerful lever to strengthen resilience

Artificial intelligence already contributes to improving organizations’ ability to anticipate, absorb and manage crisis situations.

Thanks to its ability to rapidly process considerable volumes of data, it makes it possible to identify weak signals that would go unnoticed in a classical human analysis. It accelerates the use of information, facilitates the understanding of complex events and improves the quality of decisions made in high-pressure contexts.

🔗 Read also: AI and decision-making in cyber crisis management: benefits, biases and limits

AI also contributes to reducing recovery times through the automation of certain actions and offers a projection capability that is particularly useful for preparing organizations for rare or unprecedented events.

This ability to simulate different scenarios makes it possible to envision situations that have sometimes never been encountered before and to train teams to face them before they occur.

Applications already visible across many fields

The benefits of artificial intelligence are already materializing in several fields of activity.

In customer relations, conversational agents handle a large share of routine inquiries, allowing human teams to focus their efforts on the most complex situations.

In the field of cybersecurity, predictive models are capable of detecting abnormal or suspicious behaviors that are difficult to perceive with the human eye.

In crisis management, AI tools facilitate situation analysis and offer decision-makers greater visibility to guide their trade-offs within very tight timeframes.

These uses demonstrate that artificial intelligence can indeed strengthen organizational resilience. But this contribution must not be confused with an absolute guarantee of resilience.

The new dependencies created by AI

Like any major transformation, artificial intelligence also introduces new risk factors.

The question deserves to be asked plainly: what would happen if AI systems suddenly became unavailable? A technical failure, a cyberattack or a major malfunction could render these tools unusable overnight.

Organizations that have progressively entrusted a significant share of their operations to artificial intelligence could then see certain activities slow down considerably, or even come to a complete halt.

This dependence may be all the more problematic given that the human skills associated with these activities risk eroding over time when they are no longer regularly practiced.

Another risk concerns critical processes. When an activity relies largely on a single tool, resilience capacity mechanically decreases. Yet continuity principles traditionally rely on redundancy, diversification and the ability to operate in degraded mode.

The objective is obviously not to call into question the value of artificial intelligence. It is rather to consider its unavailability as a plausible scenario and to prepare the organization to face it.

Mapping the activities that have become dependent on AI

The first step is to precisely identify the activities that now rely on artificial intelligence.

This approach must not be limited to historically known critical processes. It must also include the uses that are gradually developing within the organization.

Which departments already rely heavily on automation? Which processes are becoming dependent on AI without this always being visible? What would be the operational impact of a complete interruption of these tools?

In customer relations, for example, an organization where 80% of requests are handled by a chatbot must be able to identify the teams capable of taking over, as well as the skills required to ensure this continuity.

In the field of cybersecurity, complete dependence on automated detection mechanisms raises another question: do teams still possess the skills required to ensure manual monitoring and response?

This mapping must be regularly updated. Dependence on AI builds up gradually and may remain invisible until the moment it becomes critical.

Preserving the human skills essential to continuity

Identifying the processes dependent on artificial intelligence is a first step. Ensuring the teams’ ability to operate without AI is another.

Resilience also relies on the preservation of human expertise.

This first involves identifying the employees who still master the skills required to perform certain activities without technological assistance.

These skills must then be shared to avoid any dependence on a single person. An organization cannot rely on a sole expert, who may be absent, on leave or leaving the company.

This consideration must also be integrated into strategic workforce planning approaches and training policies. The long-term preservation of critical skills is becoming a strategic issue in its own right.

Finally, continuity exercises must now incorporate scenarios in which AI systems are unavailable. These simulations make it possible to verify that teams are still capable of operating in a degraded environment, or even a fully manual one for certain essential processes.

The challenge is to keep organizations in operational condition, not only from a technical standpoint, but also from the perspective of the women and men who bring them to life.

Building hybrid resilience in the age of artificial intelligence

Tomorrow’s resilience will not result from a trade-off between technology and humans.

On the contrary, it will rely on their complementarity.

Artificial intelligence must be fully exploited to improve speed of analysis, the quality of decisions and the adaptability of organizations. But humans must retain the means to intervene when circumstances demand it.

This search for balance falls directly within the responsibility of leaders.

A company that chose to rely exclusively on AI would expose itself to a vulnerability that is difficult to perceive on a daily basis. Conversely, an organization that refused to use these technologies would deprive itself of a major lever of competitiveness and robustness.

Resilience in the age of artificial intelligence is therefore not a mere technological question. It is a matter of genuine business strategy.

Leveraging the power of algorithms while preserving essential human skills makes it possible to build organizations capable of facing future uncertainties.

Because while artificial intelligence contributes daily to improving the performance of companies, it is still the women and men who make them up who will guarantee their ability to face exceptional situations.

FAQ: Resilience and artificial intelligence

Why can artificial intelligence become a risk for business continuity?

AI improves organizational performance, but it also creates new dependencies. When a critical process relies heavily on automation or on an AI system, a failure, malfunction or cyberattack can significantly disrupt operations. Business continuity therefore requires anticipating these scenarios and planning fallback solutions.

How can AI be integrated into a resilience strategy?

Integrating AI into a resilience strategy involves identifying the activities that depend on it, assessing the associated risks and maintaining alternative solutions. The objective is not to limit the use of AI, but to ensure that the organization can continue to operate if these tools become unavailable.

🔗 Read also: AI and cyber crisis management: a powerful lever… under conditions.

Why preserve human skills despite automation?

Resilience relies on the ability to operate in degraded mode. Even when certain tasks are automated, teams must retain the knowledge needed to take over when required. The preservation of critical skills is therefore a central element of business continuity.

What are the main risks linked to excessive AI dependence?

Excessive dependence on AI can lead to a gradual loss of certain expertise, a concentration of processes on single tools and increased difficulty in reacting when these technologies become unavailable. These risks must be taken into account in risk management and resilience approaches.

Is resilience in the age of AI a responsibility of executive leadership?

Yes. Choices related to the adoption of artificial intelligence have direct consequences on business continuity, risk management and corporate competitiveness. The search for a balance between technological performance and the preservation of human capabilities is therefore a strategic decision driven by executive leadership.