AI automation checklist — 3 steps to pick your first project

AI automation is the latest buzzword echoing through every boardroom. Companies are grappling to get it done as soon as possible, racing to capture the promised gains in efficiency and innovation. But it’s not always straightforward. With countless processes and endless possibilities, the biggest challenge isn’t if you should automate, but what you should automate first.

Choosing the wrong starting point can lead to wasted time, frustrated teams, and stalled momentum. This guide provides a simple framework to cut through the noise, helping you identify, evaluate, and select the best, highest-impact opportunities in your business.

What is AI automation?

AI automation uses machine learning and intelligent systems to handle complex tasks that go beyond simple, pre-programmed rules. Unlike basic automation, it learns from data and adapts to variations. Understanding this core difference is crucial because it helps you identify problems that are a good fit for intelligent systems, not just simple scripts. Technologically, this is often achieved using Large Language Models (LLMs), which can be accessed through APIs from providers like Google Gemini and OpenAI, or hosted privately on your own infrastructure.

3-step process to identify automation opportunities

Finding the right place to start with automation can feel overwhelming. So, let’s make it easy. We’ll follow a simple 3-step journey to find the perfect first project.

Step 1: List your processes

First, we need to figure out everything we could possibly automate. The best way to do this is to create a big list of all the repetitive tasks that happen across your business. This is important because you can’t automate what you don’t know exists. By casting a wide net, you ensure no great ideas are missed from the outset.

• Goal: Find what takes time and causes frustration.
• Document daily/weekly tasks across all departments to create a master list of potential candidates.
• Ask employees, the true subject matter experts, questions like: “What do you spend the most time on?” and “What’s most frustrating?” to uncover hidden pain points.
• Focus on high-volume, repetitive work, as these tasks typically offer the highest return on investment for automation.

Step 2: Score each process

Great! Now that you have your big list from Step 1, how do you know which task is the best one to start with? We can’t do them all at once, so we need a fair way to compare them. Think of this step like giving each task a report card to see which one is the star pupil. Using a simple scoring matrix helps you look at each task objectively to see which one has the most potential.

Here is the evaluation matrix you can use. For each task on your list, give it a score from 1 (Low) to 3 (High) for each category.

Criteria	Score (1-3)
High Volume – Done daily/weekly
Repetitive – Same steps each time
Rule-Based – Clear if/then logic
Takes Over 30 Min – Currently time-consuming
Error-Prone – Mistakes happen often
Total Score:	/15

Once you have a total score for each task, here’s what it means:

• 12-15 (Excellent Candidate): These are your low-hanging fruit. Processes in this range are prime for automation and should be your top priority.
• 8-11 (Good Candidate): These processes show strong potential but might have some complexities. Keep them on your roadmap for a future phase.
• Below 8 (Skip for Now): These tasks are likely too variable, low-volume, or strategic. It’s best to focus your efforts elsewhere for now.

Step 3: Pick your first project

Okay, after scoring everything in Step 2, you probably have a few tasks at the top of the class with high scores. That’s fantastic! But for our very first project, we want to pick the absolute safest and quickest win from that short list. This last step helps us choose the perfect “starter” project that’s almost guaranteed to be a success, which builds confidence and excitement for the future.

From your list of high-scoring tasks, choose one that meets these final safety checks:

• Takes less than 2 hours to complete manually. This ensures the scope is small and manageable for a first project.
• Has clear start and end points, which makes defining the automation logic much simpler.
• Won’t disrupt critical operations if it encounters an issue. Choosing a non-critical process lowers the risk and pressure, allowing your team to learn and adapt.

Planning your first project

Once you have used the 3-step process to select your first pilot project, the next phase of planning begins. The following sections will help you validate your choice, decide on the best implementation path, and follow key principles for a successful rollout.

What to automate (and what to avoid)

As a final check, it’s helpful to confirm that your chosen project aligns with the common characteristics of successful automation candidates. The range of tasks suitable for AI automation is virtually endless, limited only by your team’s creativity and the specific nature of your work. While many businesses start with common candidates like email sorting, data entry from documents, and invoice processing, these are just the beginning and not the only options. The key is to focus on processes that are repetitive and data-heavy. Conversely, tasks requiring deep strategic thinking or genuine creativity are best left in human hands for now.

Build vs. buy decision

With a validated project in mind, the next critical decision is how to bring it to life. The path you choose for implementation—building in-house or buying a solution—has major implications for your budget, timeline, and long-term maintenance. Here are some factors to consider for each path.

Do it yourself if:

• The process involves complex data analysis or custom AI models.
• You need it done quickly (under 2 months).
• Your systems are custom-built or legacy.
• No one on your staff has the time or experience.
• Compliance and security requirements are strict.

If your project fits this description, working with a professional company that builds custom AI applications can ensure your project is built to specification, secure, and ready for growth.

Key success tips

Regardless of whether you build or buy, successful implementation depends on more than just technology. It’s as much about people and strategy. To ensure your project is a success, keep the following key tips in mind:

• Start small: Pick one process, not ten.
• Include the team: Get buy-in from the people who do the work.
• Measure results: Track key metrics like time saved and errors reduced.
• Keep humans involved: Use AI to assist your team, not replace their judgment.

Ready to begin? Turn your plan into action with Top Base

Now it’s time to move from planning to doing. This guide is designed to give you the confidence to take that first step and identify a high-impact automation project. But identification is only half the battle. Executing it well is what delivers the results.

If you’ve identified a powerful automation opportunity but lack the in-house expertise to build it, the team at Top Base is ready to help. We specialise in turning complex business processes into streamlined, intelligent, and custom AI applications.

Don’t let technical hurdles or a lack of resources stop your innovation. Let us handle the complexities of AI integration, legacy system connections, and secure development, so you can focus on the time and resources you’ll get back.

Contact Top Base today to discuss your first AI automation project and turn your best idea into your company’s next big success.