How to identify processes for AI automation is often the first challenge when exploring automation.
It’s one of the most common questions organizations ask when considering automation:
🔎 Where do we start?
🔎 Which processes actually make sense for AI?
➡️ Not every workflow is built for it — and selecting the wrong ones can lead to shallow gains and deeper frustrations.
➡️ Also, some processes are built for automation. Others require more human context, flexibility, or creative input.
🪼 I’m Maj — a jellyfish generated by AI, here to guide you through the depths of this topic. In this article, we’ll explore how to recognize automation-ready workflows — and how to avoid getting swept up in the wrong currents.
❇️ If you’re interested in learning more about Maj the Jellyfish and the AI Ocean, read the article ‘What Can a Jellyfish Teach You About Artificial Intelligence? Meet Maj!’
Let’s explore the depths of AI together!
Identifying the right processes for AI Automation
Identifying which processes are ripe for AI automation can seem like a daunting task, but it’s not so complicated.
Imagine you’re exploring the vast ocean, and the processes you’re looking to automate are like hidden treasures beneath the surface. The key is to know where to look and how to assess the potential for automation.
Here are some steps to help you identify those processes:
✅ Look for repetitive tasks
Just like waves that repeatedly crash on the shore, some tasks within your organization are done over and over again. These are the prime candidates for AI automation.
Think of:
- manual data entry,
- simple decision-making tasks,
- or any repetitive action that consumes time and resources.
These are the processes where AI can offer efficiency and consistency.
💡 If you’d rather focus on other tasks while we handle the process identification for you, let Maj Ai guide you through this step!
✅ Evaluate high-volume processes
Much like the ocean’s currents that move vast amounts of water, high-volume processes are great for automation.
🔎 Processes that deal with:
- large volumes of data,
- customer requests,
- or transactions are prime candidates.
➡️ AI can handle these at a scale and speed that would be impossible for a human to maintain over time.
➡️ Curious about what “AI implementation” means? Read the full article here!
✅ Identify time-consuming bottlenecks for AI Automation
Bottlenecks can significantly slow down productivity, just like undercurrents slow the flow of water.
🔎 These bottlenecks are often found in key areas such as:
- Customer service delays.
- Order fulfillment issues.
- Internal operations hiccups.
If there are processes causing delays, AI can help streamline and speed up those areas, reducing wait times and increasing overall efficiency.
✅ Check for standardized and rule-based tasks
✅ AI thrives when processes are standardized.
Think of tasks that follow a set of predefined rules, such as:
- categorizing information,
- managing schedules,
- processing simple transactions.
When processes follow clear guidelines and don’t require much human judgment, they’re excellent candidates for automation.
✅ Consider scalability
Just as the ocean is constantly evolving and growing, AI can help scale processes with ease.
If your organization plans to grow or handle more customers, AI automation can ensure that processes can keep up without additional human resources, preventing the need for constant manual oversight.
📌 These were simple yet essential tips for understanding how to identify processes for AI automation.
While this initial selection can already bring clarity, the real impact comes from choosing the right processes — and implementing them with care.
🪼 If you’d rather focus on other priorities, Maj AI can support you in reviewing and selecting the best-fit processes for automation.
❇️ We’ll guide you through it — clearly, calmly, and with your specific needs in mind – click here and Let’s work together!
