Plan Your AI: Find Where AI Saves You Money

Why planning comes first

Most disappointing AI projects fail for ordinary reasons. The task chosen was too vague to measure, the data it needed was scattered across inboxes and spreadsheets, or nobody had agreed what a good result would look like. None of these problems is expensive to find early. All of them are expensive to find after a build has started. Planning is the step that finds them while changing course still costs almost nothing.

A plan also protects you from the opposite mistake, which is buying a tool because it is fashionable when a cheaper one would do. For many small businesses the right first move is a configured assistant or a simple automation that costs a small fraction of a custom build. Sometimes the honest answer is that a task is not worth automating at all. We would rather tell you that on a free call than discover it in the middle of a paid project.

Everything on this page is designed around that idea: start small, look at the facts, put the cheapest workable option first, and let the evidence decide whether to go further.

Who planning is for

Planning suits owners and managers who suspect AI could help but cannot yet say where. It suits an operations lead who has been asked to "do something with AI" and needs a defensible shortlist. It suits a finance or practice leader who wants to know which of the many tools on offer deserve a trial. It also suits a business that already tried something, was not convinced by the result and wants to understand why before trying again.

You do not need technical staff to take part. The questions we ask are about your work: what a normal week looks like, which tasks people dread, where mistakes creep in, which customers wait longest for an answer. We translate those answers into technical options. If your team does include developers, they are welcome on the call, and the roadmap is written so they can act on it directly.

A worked example (illustrative)

The figures below are invented to show the method. They are not a client result. Imagine a ten-person distribution firm where two coordinators spend about fifteen hours a week each re-typing purchase orders from emailed PDFs into an ordering system. On the free call we note the task, the volume and the error rate the owner has noticed. A rough sum says thirty hours a week of coordinator time, some of which is rework after typing mistakes.

We then compare routes. A simple automation that reads the PDF and pre-fills the ordering system is the cheapest candidate, so it goes first. A custom agent that also chases suppliers for missing information is a larger project and goes second, only if the first one works. Meanwhile the owner learns that customer service questions, which felt like a bigger problem, are mostly repeats of five questions that a configured assistant can answer. That becomes a third, very low-cost item.

The result is a three-line roadmap with the cheapest item first, a measure for each (hours spent, error rate, time to answer) and a decision point after the first item. If the first item does not move its measure, the firm stops having spent little.

What planning does not do

Planning does not guarantee a result. A roadmap is a reasoned view of likely value, built from what you tell us and what we can check. It cannot promise savings, and any figure in it is an estimate to be tested against real numbers once work begins. We also do not give legal, tax or financial advice as part of planning, and where a question touches those areas we say so and suggest you involve the right professional.

Planning also has a natural end. If a roadmap says a project is worth doing, the next step is a separate piece of work with its own scope and quote. We do not blur the two, and we do not start building on the strength of a conversation.

How we deliver planning

Every planning engagement starts with a written scope: the question we are answering, what we will look at, what you need to provide, what you will receive and when. Fixed-fee work has its price stated before it begins, and anything outside the scope is quoted separately rather than added quietly. We ask for read access to only what the work needs and agree it with you in writing.

We write in plain language and avoid jargon. If a technical term is unavoidable we explain it the first time. At the end we walk you through the findings, answer questions and hand over the documents. You are not tied to us afterwards, and nothing in the roadmap depends on using our services.