Scroll down to see our upcoming programs! Going Beyond the AI Demo: Building an AI Strategy Around the Realities of Sales Comp
11/5/2026
3:30PM-6:30PM
CNO Financial; 303 E. Wacker Drive, Suite 500, Chicago, IL 60601 Chances are, you've seen the demo: AI summarizes the plan, pulls data on command, maybe even kicks off a workflow. Useful? Absolutely. But as organizations invest heavily in AI tools, many leaders are still wondering: is this meaningfully improving the function, or just making isolated tasks faster?
In Sales Compensation, the real work lives in the exceptions, handoffs, cross-system data gaps, and judgment calls that define the function. Sales Comp never fits neatly inside one platform. It depends on information, approvals, and context flowing across SPM, CRM, HRIS, Finance, Payroll, and the people responsible for making sense of it all. To create real operational value, any AI tool would need to account for how work actually moves across those systems.
This is why AI strategy is so important.
This session explores how compensation leaders can move beyond general AI productivity and start shaping an AI strategy around the realities of the function. We'll also look at emerging approaches designed to support Sales Compensation more holistically across systems, handoffs, and decisions.
Key Takeaways
- Identify where AI is actually worth aiming in Sales Compensation. - Think about AI across systems, handoffs, and exceptions.
- Evaluate whether a solution supports the full function or simply automates a task. Presenter
Omid Mehrzad Managing Partner, InnoVyne Omid Mehrzad is the Co-Founder and Managing Partner at InnoVyne, where he helps organizations of varying size and complexity bridge the gap between Sales Performance Management strategy, technology, and day-to-day operations. A techno-functional leader by background, Omid has dedicated his career to working across the business of incentive compensation, helping teams design, implement, and evolve purpose-built SPM environments. His work spans enterprise implementations, managed services, solution architecture, and the development of tools and frameworks designed to make compensation operations more scalable and intelligent. As a testament to his depth of expertise, methodologies he developed earlier in his career were later adopted within major SPM ecosystems, helping shape and define best practices across the industry.
Most recently, Omid has been leading InnoVyne's R&D efforts around AI-enabled SPM. His focus is on how organizations can move beyond generic productivity tools toward AI strategies that support the real decisions, systems, and handoffs that define the function.
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