AI provides powerful tools for analysis, but auditing requires validation that only human expertise can provide.
AI can analyze your MSP contract, compare pricing against industry benchmarks, and flag common security gaps based on documentation review.
But here's what AI can't do:
AI can't validate actual implementation. It can read a backup policy, but it can't verify backups restored successfully last week or identify that retention settings don't align with your compliance requirements.
AI can't conduct meaningful interviews. It can't ask follow-up questions, probe for specifics when answers are vague, or recognize when "in progress" means actively working versus back-burnered.
AI can't evaluate operational realities. It doesn't know when your MSP is stretched thin, when turnover has created knowledge gaps, or when contract language creates measurement challenges.
AI can't provide context for findings. When technical responses lack clarity, AI accepts them at face value. Experience recognizes when more detail is needed and knows which questions to ask.
AI analyzes data. I validate reality.
I use AI to accelerate analysis—running contract comparisons, identifying common security patterns, and researching compliance requirements faster than manual review. But the audit itself requires judgment that comes from 17+ years running an MSP, reviewing hundreds of client environments, and understanding the difference between documented and deployed.
You need someone who can:
Distinguish between "configured" and "actually working"
Recognize when documentation doesn't match implementation
Ask the right follow-up questions when initial responses lack specifics
Provide context: "Here's what this gap means for your compliance posture"
AI gives me speed. Experience gives me insight. You benefit from both.