
Workflow Review
Not "add AI everywhere."Add AI where it actually helps.
A workflow review is a structured process to identify where AI can genuinely reduce friction in the work you're already doing — and where it can't.
The goal of a workflow review isn't to find places to add AI. It's to understand how your business works and then honestly assess where AI would make that work easier — without adding new complications or creating dependency on tools that don't fit.
What a workflow review covers
Current workflow mapping
Before any recommendations, the review starts with understanding how your business actually works. What tools do you use? What does a typical work day look like? What tasks happen most often?
This is a conversation, not a questionnaire. The goal is to understand the real workflow, not an idealized version of it.
Repetitive task identification
The most valuable AI opportunities are almost always in repetitive work. This step identifies the tasks that happen regularly, follow a predictable pattern, and currently require manual effort each time.
Common examples: writing similar emails, reformatting information, creating recurring documents, organizing notes.
AI opportunity assessment
Not every repetitive task is a good fit for AI. This assessment considers whether AI assistance would genuinely reduce effort, whether the quality would meet your standards, and whether the change would create new problems.
The honest answer is sometimes "not this task." A good review says so.
Tool selection
Recommendations are based on tools that are accessible, affordable, and practical for a small business. The focus is on tools you're likely already using or can use without significant investment.
ChatGPT, Claude, and similar tools are often sufficient. New software is only recommended when it clearly adds value.
Workflow simplification
Sometimes the most useful outcome of a review is simplifying an existing process before adding AI to it. A simpler workflow is easier to improve with AI and easier to maintain over time.
Adding AI to a complicated workflow can make it more complicated. Simplification often comes first.
Implementation recommendations
Specific, practical recommendations for how to integrate AI into the workflows identified. This includes what to use, how to use it, and what a realistic implementation looks like.
Recommendations are written to be actionable, not aspirational.
Practical next steps
The review concludes with a clear, prioritized set of next steps. What to do first, what to tackle later, and what to monitor as you implement changes.
You leave the review with a direction, not just a list of possibilities.
What you leave with