Most AI ideas sound impressive and deliver little. The ones that pay off are usually dull: they remove a repetitive task that someone already dislikes.
Start with the task, not the technology
List the work your team repeats every day: retyping invoices, answering the same customer questions, searching old quotes. Each item is a candidate. Ask two things: how often does it happen, and what does a mistake cost?
Three good first projects
- Document reading. Pull the fields from invoices, purchase orders and delivery notes so nobody retypes them.
- A question-answering assistant. Train it on your own FAQs and price lists. It handles routine questions and hands the rest to a person.
- Search across your files. Ask in plain language and get an answer from manuals, quotes and past projects.
Test before you build
Take a small sample of your real documents or questions and try the idea on it. If the result is good on fifty examples, it is worth building. If not, you have spent days, not months.
Keep a person in the loop
Design the tool so someone reviews its output, especially at first. Trust grows as you see how often it is right.
Not sure where to begin? Answer three questions in our AI consultation tool and get a draft brief for your business.