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AI Strategy in Insurance


UK-based Insurance Group


AI Strategy

Data-viz driven AI Strategy

I ran a data-driven design thinking workshop for the IBM client's stakeholders and business sponsors of a UK-based insurance group. 


I designed and prototyped a data-driven tool to illuminate what can be achieved by combining predictive and prescriptive models.


The tool empowers the client's decision-makers by illuminating the information generated by the AI models and transforming it into actionable information for the end users.


Addressing an AI use case from a data visualization and storytelling perspective gave the client's stakeholders the means to understand the business value provided by the IBM data scientists' AI and ML techniques.

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The AI Strategy method resulted in the development of IBM Enterprise Design Thinking for Data and AI framework: designed as a toolbox of more than 50 exercises addressing business, data and AI and AI ethics issues.

Research and UX

Through the UX interviews and the design thinking workshop, I found interesting business opportunities hidden in the client's data.


The pain points that afflicted the end user became the baseline for a better understanding of the user's workflow and its point of inefficiency.


Based on insights obtained during the workshop, I was able to conduct UX interviews and user research that enabled me to ideate, design, and develop a prototype built on the combination of different AI and ML models.

A story-driven approach to AI

The prototype that I designed and developed was driven by the stories I surfaced over the UX interviews I conducted with the users. 

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The process

  • Run design thinking workshop

  • Led UX interviews and user research

  • Ideated solution

  • Designed tool concept based on data 

  • Prototyped the tool for demo (Javascript, HTML, CSS)

  • Designed and Produced video for final tool demo (Adobe After Effects)

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