Your 30-day AI evaluation plan that does not require an engineer

Most leaders I talk to are stuck in the same loop. They know they need to do something about AI. They read three articles a week about it. They forward LinkedIn posts to their team. They go to a conference. They come back. Nothing changes.

The reason nothing changes is that they are trying to figure out the right answer before taking any action. AI does not reward that. AI rewards operators who run experiments faster than the next operator.

Here is a 30-day plan that does not require an engineer, a budget approval, or a data science degree. It requires four hours a week and a willingness to make one decision at the end.

Week 1: Find the pain

The biggest mistake leaders make in AI evaluation is starting with the technology. Wrong. Start with the pain.

Day 1 (Monday, 30 minutes): Pull up your last quarter’s operations review or financial review. Identify the three problems that cost you the most money or time. Not the most strategic problems. The most expensive ones.

Day 2 (1 hour): Pick one of the three. The one where you have data and where the workflow is repeatable.

Day 3 (1 hour): Map the workflow. Write down every step someone takes to do this work today. Be specific. “Sarah opens the CRM, looks up the customer, drafts an email, runs it past me for approval, sends it” is the level of detail.

Day 4-5 (1.5 hours): Identify the inputs and outputs of that workflow. What information goes in, what comes out. This is the AI-readiness check. If you can describe inputs and outputs clearly, AI can probably help. If you cannot, the problem is not yet ready for AI.

Deliverable at end of week 1: A one-page description of the pain point, the current workflow, and the inputs/outputs.

Week 2: Map the tools

Day 1 (30 minutes): Google “AI tool for [your pain point]”. Then “best AI for [pain point]”. Then “[competitor name] AI.” Take screenshots of the top 10 results and put them in a folder.

Day 2 (1 hour): Look at each tool’s website. Note: pricing, what they claim, customer names visible. Eliminate any tool that:

Has no pricing visible (they will custom-quote and waste your time)
Has no customer logos in your industry
Has been around less than 12 months (still finding product-market fit)

You should have 3-5 finalists.

Day 3 (1 hour): Watch the demo video for each finalist. Most are 5-10 minutes. Take notes on what the tool actually does versus what it claims.

Day 4 (1 hour): Sign up for free trials on the top 2-3 tools. Some will let you in immediately. Some require a sales call. Schedule those calls.

Day 5 (30 minutes): Read three independent reviews of each finalist. G2, Capterra, Trustpilot. Look for patterns in the complaints, not the praise.

Deliverable at end of week 2: A finalist list of 2-3 tools with notes on each.

Week 3: Pilot one tool

Day 1 (2 hours): Set up the top tool in trial mode. Connect the minimum data you need to test it. Not all your data. The minimum.

Day 2 (1 hour): Pick ONE specific workflow scenario you want to test. Run it through the tool. Document what happened, including where the tool failed.

Day 3 (1 hour): Run a SECOND scenario. Different from day 2. See if the tool handles variation or only works on the first happy path.

Day 4 (30 minutes): Have someone on your team who is NOT a power user try the tool with no training. Watch them struggle. This tells you about the real friction.

Day 5 (1 hour): Write down: what worked, what failed, what is missing, what would need to change in your business to make this tool valuable.

Deliverable at end of week 3: Honest assessment of one tool, in writing, that includes failure modes.

Week 4: Decide

Day 1 (1 hour): Have a conversation with the vendor. Bring your honest assessment from week 3. Ask them how they would address the gaps. Their answer tells you whether they are responsive partners or sales-driven order-takers.

Day 2 (1 hour): Calculate the ROI. Be honest. How much time/money does the tool save in the first 90 days, realistically? Subtract the subscription cost and the time required to implement. Is the number meaningfully positive? Or are you optimizing for the appearance of progress?

Day 3 (1 hour): Run the decision past one person you trust who has implemented AI before. Their reaction tells you whether you are seeing clearly or whether you have fallen in love with the tool.

Day 4 (30 minutes): Make the call. Pilot the tool in production for 90 days, or shelve it.

Day 5 (1 hour): Write down what you learned. Even if you decided not to buy, you now understand your operation and the AI market better than you did 30 days ago. That knowledge compounds.

Deliverable at end of week 4: A documented decision, the reasoning behind it, and a 90-day pilot plan (or a documented reason for declining).

What to do this week

If you have not started this 30-day plan yet:

Block 30 minutes today. Not tomorrow. Today. Open your last quarterly review and identify the three biggest pain points.
Pick one of those three. Pick the one with the most data and the most repeatable workflow. Resist the urge to pick the most strategic or most exciting one.
Tell one person on your team that you are running this evaluation. Tell them why. The act of declaring it out loud creates accountability and gets them watching for opportunities to help.
Block the next four Saturday mornings for this work. Four hours a week is enough. Trying to do it in one big push will fail because the process requires reflection between weeks.

The leaders who win the AI transition are not the smartest or the most technical. They are the ones who took action while others were still reading articles.

Be the action-taker.