Staffable AI guide
How to prepare for an AI workflow audit
A good audit is easier when you bring real workflow details: where leads come from, what tools you use, what gets delayed, and who approves important work.
Last updated: May 2026
Short answer
Bring the messy truth, not a polished presentation.
The audit works best when the business explains what actually happens every day. Missed follow-ups, scattered messages, manual reporting, repeated admin, and unclear approvals are exactly the things to discuss.
List your lead sources
Write down where new enquiries come from: website form, WhatsApp, Instagram, ads, referrals, email, phone, marketplace platforms, or walk-ins.
The first AI Employee often starts near lead capture and follow-up because the business value is easy to see.
List your current tools
Include CRM, spreadsheets, WhatsApp, email, calendar, project tools, payment tools, ad platforms, and reporting tools.
The goal is not to connect everything on day one. The goal is to understand where daily work currently lives.
Define approval rules
Decide what AI can prepare and what a human must approve. Customer-facing claims, discounts, legal statements, sensitive replies, and final decisions should usually remain human-approved.
Clear approval rules make AI safer and easier for the team to trust.
Quick questions
Do I need technical knowledge for an AI audit?
No. You only need to explain your daily work, tools, delays, and goals in plain language.
What should I not hide during the audit?
Do not hide messy handoffs, missed leads, slow approvals, manual reporting, or team confusion. Those are the useful problems to map.
Next step
Start with the free audit.
We map your daily work, find the first useful AI Employee, and recommend a practical build plan before paid setup.