VP of Revenue Operations
Compensation plan design and administration
What You Do Today
Design sales compensation plans that drive desired behaviors — new logo acquisition, expansion, multi-year commitments. Model plan economics, manage SPIFs, and handle the inevitable compensation disputes.
AI That Applies
AI simulates compensation plan outcomes across historical deal scenarios, identifying unintended consequences (gaming behaviors, perverse incentives) before plans go live.
Technologies
How It Works
For compensation plan design and administration, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.
What Changes
Plan modeling becomes more sophisticated — testing against real deal data rather than hypothetical scenarios.
What Stays
Designing plans that motivate without creating gaming, managing the politics of compensation changes, and the judgment about which behaviors to incent.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for compensation plan design and administration, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long compensation plan design and administration takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“What's our current capability gap in compensation plan design and administration — and is it a people problem, a tools problem, or a process problem?”
They shape expectations for how AI appears in governance
your CTO or CIO
“How would we know if AI actually improved compensation plan design and administration — what would we measure before and after?”
They own the technology infrastructure that enables AI adoption
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.