VP of Revenue Operations
Board and investor reporting
What You Do Today
Prepare board-level revenue metrics — ARR, NDR, CAC payback, magic number, LTV/CAC. Own the data integrity behind investor-facing numbers and ensure consistency across internal and external reporting.
AI That Applies
AI automates metric calculation and trend analysis, flagging inconsistencies between data sources and generating board-ready visualizations.
Technologies
How It Works
The system aggregates data from multiple operational systems into a unified analytical layer. 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 structured view that highlights exceptions, trends, and items requiring attention — available in the existing tools without switching systems.
What Changes
Board deck preparation shifts from manual spreadsheet gymnastics to automated metric generation with human-crafted narrative.
What Stays
Telling the revenue story to the board, contextualizing metrics with market conditions, and the judgment about how to frame challenges and opportunities.
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 board and investor reporting, 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 board and investor reporting 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
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They shape expectations for how AI appears in governance
your CTO or CIO
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
They own the technology infrastructure that enables AI adoption
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.