The AI revolution has moved beyond mere disruption – it has fundamentally rewired the corporate landscape by accelerating workflows, automating complex tasks, and redistributing responsibilities. Yet we are still facing a glaring disconnect: organisations continue to evaluate their IT departments using manual, legacy processes: uptime, ticket volume, Mean Time to Repair (MTTR), deployment volume, and more.
This outdated framework traps IT in a technical execution role, even as its scope has reached strategic proportions. In the age of AI, IT performance can no longer be defined by system availability alone. True excellence is now measured by IT’s ability to concretely contribute to business value creation and user experience, in direct support of business teams.
While these traditional KPIs remain useful for operational stability, they no longer measure what truly matters in the AI era: the capacity to transform the company and create value. The time has come to rethink them.
The mirage of operational stability
Traditional KPIs give a comforting but deceptive impression of controlled performance. Today, many companies boast high availability rates and steadily declining MTTR. However, these flattering results mask a fragile reality. Some organisations meet their availability commitments while running more than 40% of their servers on unsupported, ageing systems. They appear solid on paper but are vulnerable in practice.
This contrast reveals a fundamental flaw in IT governance: immediate technical metrics have defined success and IT for years, but fail to account for long-term infrastructure resilience of the infrastructure or the capacity for organisational innovation and transformation.
Translating AI value for business
AI is designed to accelerate and correct. In modern enterprise, a significant portion of routine interactions are now resolved autonomously, without human oversight. However, the true value of these gains often disappear into a void of reduced ticket volume, rather than exposing the human and business gains we know AI to be capable of: time freed up for higher-value tasks, improved user experience, and reduced response times.
Similarly, AI models capable of reaching high levels of precision allow for faster and more reliable action, but this progress remains invisible in dashboards built around metrics inherited from a manual era.
Transformation now plays out in fluidity, tool adoption, and risk mitigation speed. These dimensions – particularly value created, speed of transformation, and business adoption – define the real performance of a modern organisation. As long as they are not measured, they are not managed.
A new governance era
Changing indicators are not just about adding to a dashboard; they are about redefining IT’s place within the company. As long as technical teams are viewed as cost centres, the C-suite will only demand proof of execution and compliance over transformation.
However, when a company focuses on measuring the ROI of automation, digital maturity, tool adoption and risk reduction, IT is immediately repositioned to a strategic lever.
This requires a dual approach: maintaining operational indicators that ensure stability, while adding metrics that measure strategic impact. MTTR remains relevant for tracking responsiveness to incidents. However, it must be complemented by indicators such as the percentage of automated processes, the ROI of innovation projects, the time-to-market for new solutions, and the alignment between IT initiatives and business objectives.
AI has forced a reckoning upon organisations to move from a logic of maintenance to a logic of transformation. Indicators must now reflect this shift. IT must no longer show that systems are simply working, but that they are creating value, accelerating innovation, reducing risks, and enabling the company to adapt more quickly to its environment.
By making its contribution to business and user value visible, the IT team demonstrates that it is fully integrated into the company’s dynamic and affirms its role as a support team connected to both operations and business goals.
