This is theoretical because Im just starting out, but how is an n8n agent/workflow best deployed for a customer. So lets say I got 10 different customers and 50 different automations split amongst them. Im 'assuming' the best and only way is to have 10 different cloud accounts with a docker install of just each individuals workflow? This segments their data Protects their API keys (assuming using their own accounts) So customer A has their own cloud instance with a dockerized n8n install and say 5 workflows. Customer B has their own account and so and so on. If the customer wanted you to come back and edit or add new workflows you would log in to their cloud instance and edit. Have I got that right?

Want to dive deeper into this build and discuss how to enhance it? Join AIS+ In this video, I build the ultimate AI personal assistant using a team of AI agents! A centralized assistant manages four specialized sub-agents, each handling a specific area—making the system more efficient and scalable. This approach ensures that no single agent gets overwhelmed with tasks and tools, leading to better automation and smarter decision-making. All of this is built in n8n using no code! Watch to see how it works. IMPORTANT: Import the workflows by opening up a new workflow, click the three dots in the top right, and select "Import from file". You must make sure when you are setting up the workflows as a tool for the main agent that you are choosing the correct workflow within your n8n environment.