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10 Success Factors CEOs Must Prioritise For Effective AI Transformation

Global Fintech Fest 2025's report outlined 10 key success factors that CEOs must consider to drive meaningful and scalable AI transformation across their organisations.

<div class="paragraphs"><p>The report is developed in collaboration with industry leaders. (Photo source: Freepik)</p></div>
The report is developed in collaboration with industry leaders. (Photo source: Freepik)
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Summary is AI Generated. Newsroom Reviewed

Artificial intelligence is increasingly becoming an important factor in common people's everyday lives, and it is no different for CEOs.

A report by the Global Fintech Fest 2025 and Boston Consulting Group titled “Convergence: Human + AI for the Next Era of Finance” outlined 10 key success factors that CEOs must consider to drive meaningful and scalable AI transformation across their organisations.

The report, developed in collaboration with industry leaders, emphasises that successful AI adoption goes beyond technology, it requires a holistic approach integrating strategy, talent, data, and responsible execution.

Top 10 Success Factors

Personalised AI Strategy

CEOs must align AI initiatives with enterprise-wide goals to maximise productivity, speed, and quality. This includes reshaping core functions and exploring new business models.

Reimagine Workflow

By combining AI’s predictive capabilities with human expertise, businesses can unlock efficiency gains and enhance value creation.

Organisational Mindset

Building AI and data literacy across teams, encouraging cross functional collaboration, and recognising internal AI champions are essential to scale transformation.

Invest in AI Talent

Organisations must upskill their workforce, define tasks that AI should automate or augment, and manage change across all levels.

Unlock Data

As source for value like product/service ensure that relevant data scores are accessible in a comprehensive and structured format. Companies should build capabilities around unstructured data.

Enhance Al Stack

Enhancement of AI stack is required to leverage the right technologies and tools to effectively implement, monitor, and scale Al

Create Models For Scalability

AI models must be designed to balance accuracy, cost, and scalability, with advanced reasoning capabilities where needed.

Deploy Al Responsibly

AI needs to be used responsibly to guarantee transparency, control and accountability in all Al-driven initiatives and outputs.

Executional Certainty

CEOs should define clear outcomes, monitor progress, and enable continuous optimization to keep transformation on track.

Capability Build

Collaborating with technology and strategy partners ensures timely access to platforms, tools, and expertise needed for sustained success.

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