Client
A leading financial organisation in the insurance sector
Our role
With our client we co-created a strategic AI governance framework. This assessed current AI practices and crafted a manual for regulatory and legislative compliance and effective AI integration.
Country
Czech Republic
Setting the scene
Our client was eager to gain an edge from AI but faced significant challenges. Foremost was inadequate visibility of ongoing and planned AI initiatives. This was compounded by a pressing need to comply with the EU AI Act and other legislation and regulations.
A lack of documentation to manage AI-related risks efficiently was a barrier to client unlocking AI’s potential, as was a limited understanding of AI processes and guidelines. Our client also lacked capacity deal with the interdisciplinary demands of AI regulation.
How we helped
Our agile approach aimed to tailor solutions for our client’s specific needs. Our collaboration began with a comprehensive assessment of the current AI landscape within the organisation.
This encompassed IT, legal, data governance and education, and laid the foundations for a robust AI governance strategy. This set out guidelines for ethical AI implementation and compliance based on legal norms and security standards. We also developed an AI methodology manual to provide standard work procedures for managing AI projects.
One of the project’s significant challenges was aligning diverse departmental needs with new regulatory requirements. We drew on our deep experience in AI governance to collaborate with our client for a comprehensive understanding of specific frameworks and methodologies.
"Our partnership with the client highlights how crucial good AI governance is in today’s financial world. By focusing on creating a framework that not only meets the EU’s AI regulations but also drives growth, we’ve collaborated to take their AI projects from trial stages to real, impactful implementations. This approach not only boosts their innovation capabilities but keeps them safely within compliance boundaries.”
Tomáš Fiala, Partner, Digital Transformation, PwC Czech RepublicImpact and potential
The co-creation of the AI governance strategy and technological assessments culminated in a gap analysis that both identified our client’s needs and transformed their AI practice.
These efforts position our client at the forefront of AI compliance and innovation. Our client is now ready to scale AI applications methodically and securely. This not only enhances operational efficiency but also provides flexibility for sustained regulatory compliance.
Key takeaways are the importance of interdisciplinary collaboration in AI governance and the efficacy of agile methodologies in complex regulatory environments. This partnership highlights why adaptive strategies in AI integration are essential—and lays foundations for future engagements.
