An AI audit is a diagnostic engagement that identifies the highest-leverage AI opportunities in your specific business. Output is a written roadmap — not implementation, just the analysis of what to build and in what order. It's typically the first engagement businesses do before committing to AI implementation work.
An AI audit is a structured assessment of where AI can produce the most leverage in a specific business. It covers: current workflows, where time is being wasted, what tools you're already using (or aren't), readiness signals, and a prioritized roadmap.
The output is typically a 12–25 page written document plus a 60-minute readout call. It's diagnostic — not prescriptive software. The deliverable tells you what to do, not what tool to buy.
1. Workflow inventory. What your team actually spends time on, function by function. Most audits skip this and produce generic recommendations as a result.
2. Time-waste analysis. Where senior time is going to work that AI could do in 10% of the time. This is where most of the value is.
3. Current AI usage assessment. What tools you have, what's being used (vs. paid for and ignored), what's missing.
4. Readiness scoring. Where you're ready to deploy AI immediately vs. where prerequisite work is needed first (ICP definition, data hygiene).
5. Prioritized roadmap. The actual sequence of what to build, with effort estimates and expected ROI.
6. Tool recommendations. Specific tool stack — not "consider AI" but "deploy Claude Team plus this specific workflow architecture."
AI audits range from $1,500 (productized small-business audits) to $25,000+ (enterprise diagnostic engagements). The middle of the market is $5,000–$15,000.
Treetop's AI Audit is $1,500 fixed — productized for SMBs. For larger engagements with multi-function scope, custom pricing applies.
Below $1,500, you're typically buying a templated checklist rather than a real audit. Above $25,000 for a single business, you're usually paying for big-firm overhead.
1. You know AI matters but don't know what to do first. The most common case. An audit converts "we should probably do something with AI" into a specific sequence of 3–5 things to build.
2. You've tried AI but adoption hasn't stuck. Diagnostic uncovers why — usually wrong workflows, missing system prompts, or no training.
3. You're considering hiring a full-time AI person. A $1,500 audit before a $150K hire is one of the highest-ROI moves you can make.
When you shouldn't: if you already have a clear, prioritized plan and just need implementation help, skip the audit and go straight to Implementation.