The One-Page AI Strategy Template

One page. Eight fields. If you cannot fill this in, you are not ready to spend money on AI.

The One-Page AI Strategy Template

Most AI strategies are 40-page documents that take two months to create and another two months to socialize. By the time everyone has read it, the environment has shifted and the document needs updating. This is the opposite of that. One page. Eight fields. If you cannot fill it in, you are not ready to spend money. If you can, you have everything you need to start.

I developed this template after watching a pattern repeat itself across mid-market companies. The leadership team would spend weeks (sometimes months) building an AI strategy document. Slides. Appendices. Market analysis. Technology environment reviews. The documents were impressive. They were also, almost without exception, obsolete by the time they were finished.

The problem was not the quality of the thinking. It was the format. A thorough strategy document creates the illusion of thoroughness while actually obscuring the only questions that matter: What specific problem are we solving? How will we know it worked? And what do we need to be true before we start?

So I started asking leadership teams to answer those questions — and only those questions — on a single page. No appendices. No market analysis. No technology environment. Just the decisions that determine whether the investment succeeds or fails.

The reactions were interesting. Some teams filled it in within an hour. They were ready. Others spent two hours debating field three (the success metric) and realized they were not aligned on the most basic question. That discovery — made in two hours rather than two months — was worth more than any thorough strategy document could have been.

The template

The specific process or task we want to improve

Not “operations efficiency” — the specific workflow. e.g., “Invoice matching in accounts payable for our top 50 vendor accounts”

Why this problem and not a different one

What makes this the highest-impact starting point? Who feels the pain most? What is the current cost (in time, errors, or money)?

This investment succeeds when: ___

One sentence. Specific. Measurable. Everyone in the room agrees. e.g., “Invoice matching errors drop from 12% to under 4% within 90 days of go-live”

This investment fails when: ___

The exit criteria. At what point do we stop? e.g., “If error rate has not improved by at least 30% after 90 days, we pause and reassess”

The process is documented end-to-end: Yes / No / Partially

If No or Partially: this is the first thing to fix. Budget time for observation and documentation before vendor conversations.

The data has been audited in the last 6 months: Yes / No

If No: budget 2 weeks for a data audit before any tool evaluation. The audit will reveal whether you need a data cleanup project first.

The daily users of this process are involved in this decision: Yes / No

If No: stop and involve them. The adoption risk of excluding them is higher than the time cost of including them.

Total budget (including implementation, training, and first year of operation)

Not just the license fee. Include IT integration time, user training, and ongoing maintenance. Rule of thumb: multiply the license cost by 3–4x for a realistic total.

Who owns this after implementation? (Name, not role)

A specific person who will be responsible for monitoring, maintaining, and championing this tool on an ongoing basis. If you cannot name someone, you are not ready.

Why These Eight Fields and Not Others

You might notice what is missing from this template. There is no technology environment analysis. No vendor shortlist. No competitive benchmarking. No AI maturity model. No innovation roadmap.

That is intentional. Those things have value in certain contexts. But for a mid-market company making its first or second AI investment, they are distractions that create the feeling of progress without producing the clarity that determines success.

The eight fields in this template correspond to the eight decisions that, in my observation, determine whether an AI investment delivers value. If you can fill in all eight clearly and honestly — and everyone on your leadership team agrees with what you wrote — you are ready to evaluate tools. If you cannot, the fields you struggled with are telling you exactly where to focus before spending money.

The template is also, not coincidentally, the most effective vendor brief I know of. Hand it to a potential vendor and say: “This is our problem, this is our success metric, this is the state of our data and process, and this is our budget. Can you help?” Any vendor worth working with will give you a more honest and specific response than they would to a generic RFP.

I have seen leadership teams spend $30,000 on strategy documents that said less than what this one-page template reveals in an hour. The value is not in the document. It is in the conversation that happens while filling it in — the disagreements, the “actually I am not sure about that” moments, and the honest acknowledgment of what is not yet ready.

Forward to your team

Forward to your leadership team

Before our next AI planning session, I want each of us to fill in this template independently. Do not discuss it beforehand. Bring your completed versions to the meeting and compare. The fields where we wrote different things are the decisions we have not actually made yet — and those are the ones that will determine whether this investment works.

For the full readiness assessment framework that underpins Section 3 of this template

For guidance on calculating realistic total cost (the budget field in Section 4)

Want a more structured assessment? The free AI Value Diagnostic at diagnostics.vectorcxo.com covers the readiness dimensions in Section 3 of this template in more depth. Take it before your planning session — the results will make filling in the template faster and more honest.

One page. Eight fields. The strategy is not in the document. It is in your team’s ability to agree on what goes in each field. If you can do that, you have a strategy. If you cannot, you have found the work that needs to happen first. Either way, you are further ahead than you were an hour ago.