Who Reviews the Order an AI Agent Builds?

When your buyers' AI agents start building their orders, none of those orders ships until someone on your team says yes.

A chemical supplier that has decided who gives that yes, and what they see when they give it, can accept the routine orders quickly and still give the unusual ones a proper look.

Agents will finish the routine buys and stop short on the rest.

In chemicals, the routine buy is a repeat order of a familiar grade at the agreed price, shipped to a known site.

A new grade, a substitute, a new delivery site, or a spot price takes an order out of the routine, and we'd expect those orders to reach you already signed.

Forrester published its predictions for 2027 on October 28, and the first is about agents.

AI agents will do much of that buying, Vasudevan wrote, "often stopping just short of completing the transaction." Forrester sees fully autonomous purchasing staying "concentrated in high-volume, low-risk, repeatable scenarios."

Before anyone signs, the buyer will call your people.

Expect questions for your technical team about whether a substitute will run on the buyer's line, and for your account manager about lead time and who carries the risk if a delivery slips.

Forrester predicts buyers will double their human interactions to validate what their AI recommends, and that product experts will matter more.

A signed order still needs a yes from your side.

Once the buyer's approver signs, the order comes to you, and the last yes is yours.

Someone on your team checks it against the account, then accepts it or sends it back.

An order that breaks the account's pattern counts as an exception, and exceptions still go to people.

Everest Group surveyed more than 200 U.S.-focused senior decision-makers in transportation, logistics, and other supply chain-intensive industries. Decision-making is primarily human-led at 72% of their organizations, and exception handling at 60%.

The buyer's agent and your reviewer read different records.

Your reviewer needs what you don't publish, like the account's past orders, the prices you agreed, the grade that passed their spec, and the notes from the last call.

When they're spread across inboxes and spreadsheets, the order waits.

The buyer's agent reads what you do publish. Forrester tells providers to make product, pricing, compliance, and performance information "accurate, structured, and accessible to buyer agents."

Decide 4 things before the first agent-built order arrives.

• Who accepts it. A named reviewer for each account or product line.

• Where it waits. One place where every pending order shows its age and its owner.

• What the reviewer sees. The account's history next to the order, so nobody goes looking for it.

• Who answers the buyer's questions. A named technical or commercial contact for when the buyer checks what their AI recommended.

Neither source looked at chemicals alone.

Forrester's 75% is a prediction for 2027 across B2B purchases of every kind, and Everest Group surveyed transportation, logistics, and other supply chain businesses.

Nobody has published a count of the chemical orders AI agents build today (that we could find).

What holds either way is the last stop on the route, because a supplier answers for what it ships.

The order that breaks an account's pattern is the one your reviewer should see first.