We have documented core processes in our operational SOPs, but our team is still bogged down by routine multi-step execution. How do we put AI agents to work running these SOPs day and night?

Question

Tyler Smith · Accepted Answer

Once a core process is documented using the EOS® Three-Step Process and followed by all, it is ready for operational delegation. An AI agent is simply software that follows a documented SOP: it receives an operational trigger, parses incoming information, follows rule-based logic to decide an action, and executes that action across your software tools.

Start with processes that are deterministic and high volume. Good candidates include client onboarding data entry, support ticket categorization, vendor invoice reconciliation, or daily compliance audits.

To put an agent to work, translate your human SOP into structured instructions:
- Define the exact trigger: a new row in a database, an incoming email, or a webhook.
- Supply the step-by-step SOP logic: instruct the model on how to parse data, what conditions require an exception, and which API tools to call.
- Establish error boundaries: specify when the agent must stop execution, flag an exception, and create an issue for a human manager.

Do not build monolithic systems. Deploy small, single-purpose agents that run twenty-four hours a day, seven days a week. Treat the agent like an entry-level employee: provide a clear role, assign a seat on the chart that oversees its performance, and monitor its output weekly against defined quality metrics.