A chat bubble in the corner is the fastest way to look like you “did AI.” It is also the fastest way to train customers to ignore you. Before you buy a widget or fine-tune a model, decide whether the job is a conversation — or a button, a draft, or a row in a queue.
Start from the job, not the interface
If the user already knows what they want (“apply this discount,” “open a return,” “summarise this ticket”), a copilot inside that screen beats a general chatbot. Chat is for ambiguous, multi-turn problems. Most support deflection and most internal ops work is not that. WisdomSol’s AI work starts by naming the job, the system of record, and the failure that would get you on a call with legal.
Where chatbots quietly fail
They invent policy. They cannot see the order that is sitting in Shopify. They ignore role-based permissions. They cost more per deflection than a well-written help article. And they give executives a demo they cannot connect to a metric. If you cannot say “this answer came from document X, for user Y, at time Z,” you do not have a product — you have a liability.
Better first slices
Draft a reply the agent still sends. Rank the next three SKUs a merchandiser should look at. Retrieve the right SOP paragraph and quote it. Those are AI features you can evaluate. A free-form bot is what you add later, if the data and the evals survive contact with production.
If you are still choosing a partner for the surrounding software, read how we think about that decision — the same questions apply when the feature happens to call a model.