There is a lot of pressure to “do something with AI” right now. Some of it is worth it. Plenty of it is not. Here is how we help clients tell the difference.
Where it earns its place
Answering the same questions. If customers repeatedly ask the same things, an assistant trained on your own information can handle the routine ones around the clock, and hand the rest to a human.
Drafting and summarising. First drafts of replies, proposals and posts; summaries of long documents or threads. AI is a fast, tireless first pass that a person then polishes.
Sorting and extracting. Pulling key details out of invoices, forms or emails and dropping them where they belong — the kind of copy-paste work that is dull and error-prone by hand.
Where it is usually the wrong tool
Anything needing guaranteed accuracy without a check. AI is confident even when it is wrong. For high-stakes outputs, it belongs behind a human review, not in front of the customer unsupervised.
Problems a simple rule would solve. If a task follows fixed logic, a plain automation is cheaper, faster and more reliable than AI. Not everything needs a model.
The honest test
Before adding AI anywhere, we ask one question: does it remove real, measurable work without adding risk? If the answer is not a clear yes, we leave it out — and tell you why.