AI Revenue Risk Assessment

Are your AI tools creating blind spots that are costing you revenue?

Answer 15 questions across five GTM dimensions. Get an honest picture of your AI signal alignment — and where hidden conflicts are putting NRR at risk.

Self-assessment — select the statement that best describes your organization today
Your AI Revenue Risk Profile
Your overall exposure level updates as you answer. Your full radar chart and dimension breakdown are in your report.
Progress 0 of 15 answered
AI Inventory
Signal Alignment
Data Integrity
ROI & Effectiveness
Risk & Accountability
Your overall exposure level
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Answer questions to see your level
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Your radar chart is in your report See exactly which dimensions carry the most revenue risk — and what to address first.
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One final question
Who ultimately owns GTM AI strategy across all three functions — sales, marketing, and customer success — in your organization?

Ready to close the blind spots?

The self-assessment surfaces the patterns. A full AI Revenue Risk Assessment goes deeper — validating your scores across sales, marketing, and CS, mapping the actual conflicts, and building a prioritized roadmap to protect your NRR.

Schedule a conversation →
AI Revenue Risk Assessment
Your AI Revenue
Risk Report
A diagnostic assessment of your GTM organization's AI signal alignment across five dimensions — and a roadmap for closing the blind spots putting NRR at risk.
Prepared for
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Company
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Title
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ARR Range
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GTM AI Ownership
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Overall Exposure Level
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Ready to close the blind spots? andreamulligan.com/contact
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Risk profile
Your exposure shape across five dimensions
Outer ring = Level 5 (Optimized)
Overall exposure level
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What your level means
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© 2026 Andrea Mulligan · andreamulligan.com
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Dimension by dimension
Where your risk is concentrated — and what comes next
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© 2026 Andrea Mulligan · andreamulligan.com
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Preliminary observations
Based on your scores
These observations are based on how you scored across the five dimensions — they reflect patterns in your responses, not a full diagnostic. A full AI Revenue Risk Assessment validates these scores by interviewing stakeholders across sales, marketing, and CS, reviewing your actual AI tool outputs, and mapping real signal conflicts. Factors like tool stack complexity, data quality, and organizational dynamics will shape what's most urgent. This report is a starting point for that conversation.
Based on your scores, three dimensions show the highest revenue risk concentration. These represent your most likely blind spots — where AI signals may be creating customer experience conflicts that are affecting NRR today.

Ready to close the blind spots?

A full AI Revenue Risk Assessment maps your actual signal conflicts, validates your scores with stakeholder interviews, and builds a prioritized roadmap to protect NRR.

andreamulligan.com/contact
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© 2026 Andrea Mulligan · andreamulligan.com