
Zuzana Takacsova
People Analytics Data Science Lead
Swiss Re
Manually assessing performance goals is time-consuming, subjective, and limited in scope. This session offers a candid view of how Swiss Re’s People Analytics Data Science Lead developed an AI-based approach to replace human effort in evaluating and refining employee goals. Discover how this solution moved from a 5% manual sample to comprehensive coverage, enabling better alignment with corporate strategy, boosting data-driven consistency, and freeing up HR professionals to focus on higher-value tasks. Gain insight into the essential governance frameworks, stakeholder engagement steps, and business impact that can guide your own AI and people analytics projects.
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The shift from time-consuming manual reviews to full-scale AI
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Stakeholder alignment and legal considerations in a regulated industry
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Designing and training a model to evaluate goal quality
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Ensuring data privacy, fairness, and responsible governance
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Lessons learned from pilot, validation, and enterprise rollout
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Measurable benefits, cost savings, and strategic impact.
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Identify key steps to integrate AI into performance review workflows
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Understand how to manage risk and compliance for AI in HR
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Gain insights on stakeholder engagement and change management
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Learn methods to measure tangible benefits in goal alignment and process efficiency.
To remain competitive while meeting strict regulatory standards, organisations in financial services must ensure robust, data-driven workforce practices. Swiss Re’s AI-powered goal optimisation project addresses the need for consistent, transparent performance management that scales to large global populations. This approach frees HR capacity for strategic initiatives and drives measurable business value.