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Artificial intelligence: how can organisations scale AI without losing control?
In a new article published in the Summer 2026 Issue of MIT Sloan Management Review, Margherita Pagani, Director of the research centre SKEMA Centre for Artificial Intelligence and specialist in human-centric AI in business, joins leading scholars Gianvito Lanzolla (Bayes Business School) and Christopher Tucci (Imperial College Business School) to examine how organisations can scale artificial intelligence while maintaining effective governance, accountability and human oversight.
As artificial intelligence moves from experimentation to large-scale deployment, organisations are facing a new challenge. While AI offers significant opportunities for innovation and productivity, its rapid adoption also raises questions around risk management, transparency and organisational control.
In their article, Scaling AI With Adaptive Governance, the three researchers argue that traditional governance frameworks are often ill-suited to the pace and complexity of AI deployment. Processes designed for stable environments can struggle to keep up with technologies that evolve rapidly and are adopted across multiple business functions.
Rethinking governance for the AI era
To address this challenge, the authors introduce the concept of adaptive governance. Rather than relying on rigid, one-size-fits-all controls, organisations should develop governance mechanisms that evolve alongside AI systems and reflect the specific risks associated with different applications.
The article highlights the need for organisations to strike a balance between innovation and oversight. According to the authors, successful AI adoption requires governance frameworks that support experimentation and value creation while ensuring accountability, trust and responsible use.
The publication reflects Margherita Pagani’s longstanding research on human-centric artificial intelligence and the interaction between technology, organisations and society.
“Artificial intelligence is transforming organisations at an unprecedented pace. The challenge is no longer whether companies should adopt AI, but how they can govern it effectively as its uses continue to expand. Adaptive governance offers a way to balance innovation, responsibility and human oversight in an evolving technological landscape,” says Margherita Pagani.
