Most conversations about AI agents start with a chatbot demo. That's the least interesting thing an agent does. In a working B2B operation, the valuable agents are mostly invisible: they read, reconcile, and route, then hand a person a short, well-organized decision.
Three jobs agents are good at
- Reading what nobody has time to read. Vendor emails, PDFs, support tickets, call notes. An agent turns unstructured text into structured records your systems understand.
- Watching for exceptions. Late shipments, drifting vendor performance, a deal gone quiet. Agents check continuously and flag what changed.
- Answering from your own sources. Product, policy, and how-to questions, answered with a citation, around the clock.
An exception agent’s task log: every step is visible to the buyer who approves it.
Where agents should stop
A good agent knows the edge of its job. In a supply-chain exception workflow we built, the agent detects the problem, checks approved alternates, and ranks the options, but it never places an order. A buyer approves every action. That boundary is a feature: it's what lets a team trust the agent with real work.
How to pick your first agent
Look for work that is frequent, rule-heavy, and tedious: the task someone does every week by copying between an inbox and a spreadsheet. Then ask three questions.
- Is the input available digitally, even if it's messy?
- Can a person describe what a good outcome looks like?
- Is there a clear point where a human should take over?
If the answer to all three is yes, you likely have a strong candidate. Start there, prove it on real data, then look for the next workflow worth automating.