AI Agents for Business: What They Can and Can't Do Yet

"Agentic AI" now gets attached to almost everything. Underneath the term is something genuinely useful: a model that can take a task, use tools to complete steps, and check its own work. The trick is knowing which tasks suit it.

Where it works today

• Reading invoices and delivery slips into structured records
• Drafting replies to routine emails for a human to approve
• Turning a week of sales data into a readable summary
• Categorising and routing incoming support messages
• Checking documents against a checklist before submission

Where it doesn't, yet

Anything where being wrong is expensive and nobody checks. Moving money, confirming medical information, sending communication to customers without review, or making decisions that are hard to reverse. The technology isn't reliable enough to be the last step in those chains.

Guardrails are the actual engineering

Production AI needs limits on what it can access, validation on what it produces, a full log of what it did, and a human approving anything consequential. Most of the work in an AI feature is these safeguards, not the model call.

Start with one boring task

Pick the most repetitive thing someone does daily, automate that one thing well, and measure the hours saved. A small working win beats an ambitious platform that never ships — and it teaches you where the technology actually fits in your business.