Automation tools increasingly include AI steps: a step that reads a message and sorts it, summarises a long form answer, drafts a reply, or pulls details such as a name and amount out of free text. Some tools also offer agents, which can decide on several steps by themselves to reach a goal. One remote advert in our research asked for AI implementation alongside table and automation tools, so it is worth understanding. This lesson is optional, and the AI Tools for Work track goes deeper.
Where AI steps help
AI is useful when a step needs to understand messy language, which ordinary rules cannot do well:
- Sorting. Is this message a complaint, an order or a question? Send it to the right person.
- Summarising. Turn a long feedback answer into one line for a weekly report.
- Extracting. Pull the item, quantity and delivery town out of a chat style order.
- Drafting. Suggest a reply that a person reviews before sending.
Where it goes wrong
AI output can be confidently wrong. It may misread Ghanaian names, places and mixed language messages, invent details that were not in the text, or sort a serious complaint as a simple question. It can also produce different answers to the same input on different days. So:
- Keep a person in the loop for anything that matters: money, health, complaints, anything sent to a customer.