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 practical methodology manual to standardise how AI initiatives are managed end‑to‑end.
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 develop consistent AI governance.
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 the cross-functional capacity needed to embed responsible AI practices into real operations.
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 sets out guidelines and decision‑making structures to support responsible AI implementation with security and ethics built in. 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 drives growth, we’ve collaborated to take their AI projects from trial stages to real, impactful implementations. This approach, grounded in responsible practices, boosts their innovation capabilities and builds trust across the business.”
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 the flexibility to adapt and scale responsible AI practices as the business evolves.
Key takeaways include the importance of interdisciplinary collaboration in AI governance and how agile methodologies help organisations tackle the complexities of responsible AI at scale. This partnership highlights why adaptive strategies in AI integration are essential—and lays foundations for future engagements.
