In today’s fast-evolving work environment, traditional compensation models often fail to reflect the real drivers of value—skills, growth, and contribution over time. At Siili, we’re reimagining how salary decisions are made by designing an AI-powered rewards model that leverages structured seniority levels and diverse data-including qualitative insights-to guide transparent, fair, and adaptive pay practices. This session explores how AI will play a critical role in determining who gets rewarded, how learning progress is recognized, and how compensation frameworks can evolve beyond static models to motivate and retain modern talent. In this session you will learn

• Why well-defined seniority levels are essential for consistent, equitable, and motivating salary decisions.
• How AI can support more objective, data-informed decisions about who gets raises—and why.
• How to integrate both qualitative and quantitative data into AI-powered compensation frameworks.
• How to build future-proof salary models that adapt to workforce changes and reduce bias at scale.

• How to design a diverse salary model that aligns job titles, KPIs, and individual learning paths with compensation?
• How to integrate AI into your compensation strategy to ensure adaptability, innovation, and future-readiness?
• How to communicate the value and purpose of AI-powered salary models to employees who are used to traditional structures?
• How to link employee development and upskilling directly to tangible reward mechanisms?
• How to overcome resistance to change by demonstrating ROI and long-term sustainability in your rewards approach?