VP of Revenue Operations
Deal desk and pricing operations
What You Do Today
Run the deal desk — approving non-standard pricing, reviewing enterprise contract terms, and ensuring discounting stays within guardrails. Balance revenue optimization with the speed reps need to close deals.
AI That Applies
AI recommends optimal pricing and discount levels based on deal characteristics, competitive dynamics, and historical win rates at different price points. Automates approval routing for deals within policy.
Technologies
How It Works
The system ingests deal characteristics as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — optimal pricing and discount levels based on deal characteristics — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Standard deals get auto-approved within AI-validated guardrails, freeing deal desk for complex negotiations.
What Stays
Complex deal structuring, strategic pricing decisions for lighthouse accounts, and the judgment about when to break the rules for a deal that matters.
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 deal desk and pricing operations, 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 deal desk and pricing operations 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 data do we already have that could improve how we handle deal desk and pricing operations?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with deal desk and pricing operations, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for deal desk and pricing operations, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.