There is no need to rebuild your website to benefit from generative AI. The most profitable projects plug into an existing tool, automate a specific task and can be measured. Here are the ones we recommend most often.
Five use cases that work
- Writing product descriptions from supplier data: titles, descriptions, standardised attributes, translations. A human validates, the AI prepares.
- Semantic search: your customers find a product by describing their need, not just by typing the right reference.
- Documentation assistant: answers to customer or internal questions based on your documentation, with sources cited.
- Document extraction: PDF invoices, purchase orders and contracts turned into structured data in your back office.
- Triage of incoming requests: emails and tickets classified, prioritised and accompanied by a draft reply.
Three pitfalls to avoid
- The general-purpose chatbot plugged into the home page with no scope and no sources: it gives off-target answers and damages trust.
- No measurement: without an evaluation set, there is no way of knowing whether a change improves or degrades the answers.
- Forgetting costs and compliance: without a quota, abusive use can drive up the bill, and without data minimisation, GDPR compliance is weakened.
Where to start?
Choose a task that is repetitive, time-consuming and easy to check. Build a prototype on a sample of your real data, measure the success rate and the cost per operation, then decide whether or not to move to production. That is exactly the approach of our AI integration service.