Daniela Busuttil Dougall

AI changes technology quickly. Organisations change differently.

I explore how organisations respond to AI-driven disruption, and how readiness, maturity, mindset, trust and organisational sensemaking shape what happens next.

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Why do similarly ready organisations respond differently to the same AI-driven disruption?

This question sits at the intersection of my research and professional practice. Organisations can have similar technologies, resources and ambitions, yet interpret and respond to AI very differently. Understanding what happens between disruption, interpretation, organisational response and lasting capability is where much of my work is focused.

This is what I’m trying to understand →

Research. Practice. Ideas.

Understanding how organisations respond to AI-driven disruption and how readiness, maturity, mindset, trust and fairness influence that response.

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Translating AI strategy into organisational capability: from readiness and governance to experimentation, adoption and sustained change.

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Observations, questions and developing perspectives on AI, organisations and the people navigating the change between them.

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From AI readiness to adaptive capability

My doctoral research investigates how organisations respond to AI-driven disruption and how those responses are shaped by organisational readiness, maturity, mindset and evolving perceptions of trust and fairness within tax compliance environments.

At its heart is a deceptively simple problem: being ready for AI does not necessarily tell us how an organisation will respond to it.

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Research informs practice. Practice challenges research.

My work sits between the two. Professional experience exposes the organisational realities behind AI adoption: governance constraints, capability gaps, experimentation, resistance, competing interpretations and the challenge of turning pilots into sustainable capability. Research provides a way of examining why those patterns emerge.

AI Readiness & Capability

How prepared is the organisation to respond?

AI Adoption & Organisational Change

What happens when AI encounters existing structures, behaviours and ways of working?

AI Governance & Trust

How can organisations build capability while retaining accountability, fairness and human judgement?

Readiness. Maturity. Mindset.

The Readiness-Maturity-Mindset framework examines AI transformation as more than technological adoption. It brings together organisational preparedness, the development of capability over time, and the mindset through which organisations interpret and respond to change.

Developed with Pierre Vella and published in Integrating Business and AI by Routledge.

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Questions I’m exploring

Why do similarly ready organisations respond differently to AI?

What happens after an organisation reaches AI maturity?

Can organisations develop the capability not merely to adopt AI, but to continually adapt to it?

Research rarely begins with an answer.

Latest Thinking

Similarly Ready. Completely Different Responses.

Why organisational readiness may only explain part of the AI adoption story.

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What Happens After AI Maturity?

Why reaching maturity may be less important than sustaining the capability to adapt.

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Experimentation Before Certainty

What organisational sensemaking tells us about learning through AI experimentation.

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I work where AI meets the organisation.

I am a consultant, researcher and lecturer working across AI adoption, organisational transformation and capability development. My professional work gives me a front-row view of the organisational realities of technological change, while my doctoral research allows me to investigate the deeper question of why organisations respond to that change differently.

I am particularly interested in the space between technological possibility and organisational response: where people interpret change, organisations decide how to act, and new capabilities either take root or disappear.

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Let’s exchange ideas.

I am always interested in conversations around AI readiness, organisational transformation, research collaboration, teaching and the practical challenges organisations encounter as they adapt to AI.

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ORCID · Publications