Claude Partner NetworkOfficial Anthropic partnerQuestions from COOs

What happens when an AI agent makes a mistake?

Operations, capacity and service. Straight answers, written for executives.

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Short answer

The same thing that happens when a person does: the error is caught by a review or a control, corrected and traced to a cause. The difference is that every agent action is logged, so the cause is easier to find and the fix applies to every future case.

The longer answer

What to consider.

High-impact actions have human approval, so most errors are caught before they reach customers or the ledger.

When an error gets through, the case is added to the evaluation set so the fix is tested on every new version.

If errors rise above an agreed threshold, the agent drops to a lower autonomy level or is paused.

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23+years in production software
1,350+projects delivered
220+engineers and product specialists
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Before the build

Discovery with a written exit

Scope, success metric and kill criterion agreed in writing before any code. If the case doesn't hold up, you stop there.

Before it acts

Shadow mode first

The agent runs next to your team without touching anything. You compare its decisions with your people's before it goes live.

While it runs

Your people approve

Supervised by default: every high-impact action has an approver, an audit trail and a kill switch your business team controls.

Your environment

Your cloud, your data

Deployed in your cloud or an isolated environment, models under no-training terms. AWS and Google Cloud certified partner.

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