Definition
Done-for-you AI automation is a service where an agency builds, runs, and maintains AI agents for a client, who receives the results without operating anything.
In practice
It differs from selling software in who does the operating. The client buys an outcome, such as a triaged inbox, qualified leads, or a weekly report, and the agency owns everything between the request and the result: the build, the schedules, the credentials, the fixes when something changes, and the check-ins. That ongoing work is why done-for-you is usually priced as a setup fee plus a monthly retainer rather than a one-off project. The common mistake is quoting it like a build and forgetting the running. An agent that stops working a month after the handover was a demo, not a service.
Example
A bookkeeping firm pays an agency to handle invoice chasing. The agency builds an agent that checks unpaid invoices every morning, drafts polite reminders, and holds anything over a set amount for the firm's approval. The firm never touches a server or a prompt. Once a month the agency reviews the results with the firm and adjusts the tone of the reminders and the approval threshold.
Common questions about done-for-you AI automation
What is the difference between done-for-you and white-label AI automation?
Done-for-you AI automation is about who operates: the agency builds and runs the agents and the client only receives results. White-label is about how it is sold: the agency packages the agents as its own service, under its own price and invoice. Many agencies combine both, reselling a productized service and adding done-for-you projects on top.
How is done-for-you AI automation usually priced?
Done-for-you AI automation is usually priced as a one-time setup fee for the build plus a monthly retainer for running, fixing, and improving the agents. The retainer matters most, because agents need ongoing attention as models, websites, and the client's needs change. Pricing it as a one-off project leaves that work unpaid.
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