How Long AI Implementation Takes, Week by Week
Three weeks for one workflow, six to twelve for a full build. Here is what fills those weeks, and what makes them longer.
The First Workflow takes about three weeks. The AI readiness assessment takes two to three weeks. A full Implementation takes six to twelve weeks. Much of the difference between the short end and the long end of any of those is not our typing speed. It is how quickly the people in your business can answer a question, open an account, or approve a draft.
Here is what fills the weeks, so you can see where the time goes and where you can save some.
How long does the First Workflow take?
About three weeks, in three stretches.
In the first week we sit down with you, look at where your week goes, and choose one job that repeats. An inquiry that needs reading and answering is a common one. We write down, together, what working looks like, so that nobody is guessing later. Nothing gets built until that is agreed.
In the second week we build the workflow inside the tools you already use, so nobody has to learn a new system. It drafts, sorts or assembles. A person approves before anything is sent, filed or signed. We test it on your own real examples.
In the third week we show it working, write a plain-English guide to what it does, what it may see, who approves what and how to turn it off, and walk your people through it. Then it is yours to run.
How long does the AI readiness assessment take?
Two to three weeks. The Diagnostic is a study, so the weeks go to listening and writing rather than building. It has four parts: a recorded interview with the principal of your business, a study of how your work actually runs, a written report, and a ninety-minute review where we read the report together.
The interview and the workflow study come first and take the most time, because they depend on getting your people in a room. The report is written once we have seen how the work really happens, and the review closes it out. If you go on to Implementation, the fee is credited in full.
How long does a full AI implementation take, week by week?
Six to twelve weeks, depending on how much is being built. The order we follow is the same each time.
The first stretch, roughly the first two weeks, is setup. We confirm the scope in writing, get access to the accounts and tools we will build in, and settle who may see what and who approves what. This is the least visible part, and it does a lot to decide whether the rest goes smoothly.
The middle stretch is the build. We take the workflows one at a time, starting with the one you chose first, and test each against your own real examples before moving to the next. Intake, documents, approvals, reporting and any client portal are built around them. You will see working pieces along the way rather than one reveal at the end.
The last stretch is handover. Your staff are trained, we write the operating manual, and we make sure everything sits in your own accounts. A six-week project would be one or two workflows with few connections to other tools. A twelve-week project would be several workflows plus a portal, or a set of tools that all have to agree with each other. We give you the schedule when we scope it.
What should you have ready before week one?
Four things, none of them technical. A short list of the jobs that eat your week, with a rough sense of how often each one comes up. A handful of real examples of the work, such as last month's inquiries or the last few documents you produced. The names of the people who will use the system and the person who will approve what it drafts. And the logins for the tools we will build in, or the name of the person who can open them.
If you do not have all four, that is fine. We help you find them in the first week. But every one you arrive with is a day you do not spend waiting.
What makes an AI project take longer?
Waiting is the likeliest cause. A tool account that takes two weeks to be opened. A set of templates that nobody can find. An approver who is out for a month. A decision about what the system may see that keeps being put off.
The second cause is records that are not in order. If client files or templates live in six places, some of the time goes to gathering them before anything can be built on them. The third is a scope that grows. A good idea in week four is still a good idea, and it goes on the list for afterward rather than quietly stretching the schedule.
Can an AI project go faster?
Sometimes, and the quickest way is on your side of the table. Choose one person who can answer our questions the same day. Have your templates and a few real examples ready before we start. Decide early who approves what the system produces. Each of those saves days.
We will not promise a date we do not control. What we will do is tell you honestly what the schedule depends on and say so when something starts to slip.
What happens after the build is finished?
Nothing, unless you want it to. Everything we install is documented and yours, and you can run it without us. If you would like someone to keep watching it, Operate is $3,000 to $10,000 a month: a monthly tune-up and a ninety-minute review with the principal each quarter, so the systems keep up as your business and the tools change. It is always optional, and it ends on notice.
The quickest way to see how this works in your business is one workflow, built in about three weeks, in the tools you already use.