Sales planning and incentive compensation are critical drivers of revenue growth, and AI has the potential to transform how organizations plan, execute, and optimize these programs. But AI isn’t a silver bullet – misapplied 
solutions can introduce risk, confusion, or unintended consequences. Understanding where AI is most effective – and where it falls short – is essential for success.

In this session, we’ll explore two key areas – sales planning and incentive compensation administration – breaking each down into current applications and emerging trends. Attendees will see how AI can augment human 
decision-making, uncover patterns and insights previously impossible, and accelerate comp processes beyond traditional limits. From predictive quota modeling and adaptive incentive strategies to real-time dispute resolution 
and scalable insights, this session highlights both the opportunities and practical realities of AI in sales compensation.

Key Takeaways

• Understand the limits and risks of AI for sales compensation, and how to approach implementation thoughtfully
• Explore AI applications for sales planning, including predictive quota modeling, territory optimization, scenario simulation, and adaptive incentives
• See how AI can supercharge compensation administration, enabling faster plan iteration, autonomous configuration, anomaly detection, dispute resolution, and insights at a scale humans alone cannot achieve
• Gain a forward-looking perspective on how AI could transform sales compensation into a continuously learning, adaptive system, aligning incentives dynamically with business strategy and revenue outcomes