You have been told to do something with AI. Nobody has shown you where it would pay off in your business. I find the two or three workflows where it actually would, automate those business processes, and leave the rest alone.
The pitch you are getting describes a product, not your business. It assumes your data is clean, your process is written down, and the task repeats often enough to pay back the build. Three assumptions, and in most companies I look at, at least one of them is wrong.
That is expensive in a specific way. You buy licenses, somebody configures the tool, it works in the demo, and six weeks later your team has gone back to the spreadsheet. The money is gone and the process did not change.
I walk your main workflows with the people who run them, then sort every candidate into one of three buckets.
That third bucket is usually the biggest, and it is the reason this work costs less than people expect. Most of the value comes from deciding what not to build.
Two examples from work I am doing now, one for a client and one on my own business.
A vacation rental cleaning business where the owner fielded every inquiry, reschedule, and cleaner callout herself. Routine traffic was burying calls that could have become jobs, and every quote was built by hand. We mapped the workflows first, then started with one thing: answer the basic questions, give an instant estimate from the property details, and pass only serious prospects to her.
Read the AI front desk case studyI test technology on my own business before I recommend it. This site used to run on WordPress with a caching layer and a firewall to manage problems the architecture created. It is now static files with no database and no login, and I manage content in plain language with AI instead of a CMS. That is the limit I found by doing it, not by reading about it.
Read the AI content management case studyI am also building WrapInsights, an AI-powered analytics platform for business owners who are not technical.
If you keep hearing that you should "do something with AI," the useful question is narrower: which two or three of your workflows would AI actually improve, and is your data ready for it? This review answers that before you spend money on tools or developers.
The AI questions people ask most, from where it fits to what it costs and whether your data is ready, are answered together with the rest of the site's questions.
Read the AI questions on the FAQDescribe the work that eats your week. I will tell you whether AI is the right answer, whether plain automation is cheaper, or whether the honest answer is to leave it alone for now.