An AI plan that says what to build first and what to skip

We write a short roadmap that names the first AI project for your business, what it depends on and what to skip.

A person studying a site map drawn on a whiteboard

Notebooks, glasses and a cup of coffee on a closed laptop by a window

Strategy is mostly sequencing

The useful question is a narrow one: given your team and your margins, what should happen first, and what should deliberately wait?

A good plan names a first project narrow enough to judge, says what success looks like before anything is built, and puts a decision point after each step.

Kedzie Machine Works

The quote is priced from the part drawing and the shop’s own rules, and a person approves it before it goes out. Kedzie is a company we invented, so we could build its website and back office in full.

Open the Kedzie build

How we sequence

Follow the repetition
The strongest first candidates are jobs done many times a week the same way: quoting, follow-up emails, scheduling and the questions your front desk answers daily.
Start where the data already is
Phase one runs on information you already keep well, like a tidy Drive folder or a CRM your team uses.
Prove it before extending it
Each phase has to show up in the workweek before the next one gets funded. If drafting help doesn’t move the inbox, that’s worth knowing early.
Build in exits
If phase one delivers the value you need, stopping there is the plan working.

An empty small-town main street at dusk with brick storefronts and flags

Early moves and deliberate skips

Usually worth doing early

Work that repeats often and is easy to review.

Drafting help inside the inbox your team answers every day
Answers drawn from documents you already maintain
Intake that captures what staff retype today

Usually worth skipping

At least at first, and sometimes for good.

Custom models where an off-the-shelf tool already does the job
AI attached to a process that changes month to month
Customer-facing bots with no path to a person

Questions

How is this different from the readiness review?

The readiness review tells you whether the ground is solid, and strategy decides what to build on it and in what order. Most engagements cover both in one pass.

What shapes the recommendations most?

Where your margins come from, which work repeats and what your current tools can connect to. Two businesses in the same industry can leave with very different plans.

What if the right answer is mostly not AI?

Then the plan says that. Plenty of problems labeled as AI projects are workflow or integration problems, and solving them that way is faster and cheaper.