Claude Partner NetworkOfficial Anthropic partnerQuestions from COOs

How do we scale from one AI agent to many?

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

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Short answer

Reuse what the first project built: the integrations, the security setup, the evaluation method and the governance. Pick the next processes that share systems or data with the first, and keep one owner and one metric per agent.

The longer answer

What to consider.

The second and third agents are usually faster because access, monitoring and approvals already exist.

As agents multiply, an orchestration layer routes work between them and a shared audit trail keeps oversight simple.

Review the portfolio quarterly: retire agents that do not move their metric.

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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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