The useful work is often invisible
The most practical AI deployments are not always the ones that make the best demonstration. They sit inside back-office work, where teams spend time summarising records, preparing routine responses or moving information between systems.
That is where an agent can create value without asking a company to redesign everything at once. A narrow task, a defined source of truth and a clear review step are usually a better starting point than an ambitious general assistant.
Start with a bounded workflow
Good candidates have repetition, a predictable input and a meaningful cost of delay. Invoice queries, supplier research and support triage can work well when people remain responsible for exceptions and final decisions.
The key is workflow design. Teams need to decide what the agent may do, what it must flag and where the result should appear. Without that structure, a capable model can still create more checking than it removes.
Measure the handoff
The right question is not whether the tool sounds intelligent. It is whether the handoff between the tool and the person has become faster, clearer and easier to audit.