AI assistants have appeared everywhere in recent years: on websites, in messaging apps, in internal systems. But having an assistant does not automatically mean it is useful. Sometimes it takes load off the team; sometimes it confuses customers and creates extra work.
When an assistant earns its place
- The same questions come up again and again, and their answers already exist in writing.
- There is a lot of information spread across different documents, and people struggle to find what they need.
- Customers want basic information outside working hours too.
- Enquiries need to be sorted early on and sent to the right specialist.
When it is still too early
- The information it would answer from has not been written down, or keeps changing.
- Every question needs an individual assessment or carries legal responsibility.
- Nobody is responsible for checking and updating the assistant’s answers.
The last point matters most. An assistant is only as accurate as the information it is given. When the information goes out of date, so do the answers.
Three conditions for an assistant you can trust
Approved sources
The assistant should rely on content your company has approved, such as service descriptions, FAQs and policies, not on general knowledge from the internet. It should be clear who updates that content and when.
Clear limits
The assistant should not make up what it does not know. On questions such as prices, timelines or guarantees, it should point people to a human. These limits need to be built in at a technical level; hoping for the best is not enough.
A route to a person
Visitors should be able to reach a person at any point. A good assistant does not close the conversation; it helps get the enquiry to the right person.
Start small
The safest approach is to start a pilot on a narrow topic, for example questions about your services only. Over a few weeks, track which questions people ask, where the assistant struggles and how many enquiries get passed to a person. Base the decision to expand on that data.