Intentional AI in Compensation: How to Use AI You Can Actually Explain | A 30-Minute Fireside Chat

Everyone is adding AI to their compensation stack. But when something goes wrong, can you explain why it happened?
Most AI tools weren't built for compensation. They were built for speed and scale — and in a domain where every decision touches someone's livelihood, that's not enough. The question isn't whether to use AI in compensation. It's whether you're using AI you can defend.
Watch this 30-min on-demand webinar with beqom's Dr. Julian Perez Alzueta, Head of AI and Analytics, and Dr. Sébastien Baehni, CTO, as they explain what Intentional AI actually means in practice — and how to implement it without losing control of the decisions that matter most.
What you'll learn:
- Why generic, black-box AI creates real legal and reputational risk in compensation — and what to use instead.
- The three modes of Intentional AI and how they work together: agentic AI, ML modeling, and rule-based systems.
- Where humans must stay in control — and how to build those touchpoints before something goes wrong.
- How to move from an AI system of record to a system of intelligence — without outpacing your governance.
- Practical steps to start building a compensation AI strategy you can explain to managers, employees, and regulators.
Our speakers
Dr. Sébastien Baehni is the Chief Technology Officer at beqom. A proven engineering leader, he previously spent over eight years as VP of Engineering at Nexthink, where he played a pivotal role in scaling the company from 35 employees into a global enterprise valued at over $3 billion. Earlier in his career, he spent five years at Swissquote, Switzerland's pioneering online bank. Sébastien holds a Ph.D. and a Master's degree in Computer Science from EPFL.
Dr. Julian Perez Alzueta is the Head of Analytics and AI at beqom, where he leads the roadmaps for AI Labs, the Pay Equity Platform, and Reporting & Analytics across all platforms. A physicist by training, Julian graduated from one of France's top engineering schools and holds an MSc in Theoretical Physics and a PhD in Prediction Modelling & Quantitative Finance. Before joining beqom, he led product strategy at HR start-ups and managed data science teams across multiple industries.
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