We want to scale our business using AI-driven automation, but we are struggling to map these new automated workflows onto our Accountability Chart™ without creating confusion. How do we document AI-driven functions when there is no human in the seat?
As you scale your operations using AI and automation, you might be tempted to create a seat on your Accountability Chart™ for your software or automated systems. This is a mistake. The Accountability Chart™ is designed to measure human accountability, and you cannot hold a software program accountable when things break.
Every automated workflow, AI agent, or software integration must ultimately roll up to a human seat. To document this correctly, you must assign the ownership of each automated system to the person who is accountable for its output, not the tool itself.
For example, if you use AI to automate your initial customer service triage, do not create an 'AI Support' seat. Instead, keep the Customer Service Manager seat, and add a specific bullet point to their roles and responsibilities: 'Owns and optimizes the AI triage system performance.'
This human owner must GWC™, which means they Get it, Want it, and have the Capacity to do it. They must understand how the automated tool works, want the responsibility of managing it, and have the time to monitor its performance, troubleshoot errors, and keep it aligned with company standards.
If the system fails, the human in that seat is responsible for fixing it. By keeping the focus on human accountability, you can scale your operations with AI while maintaining a clear and effective organizational structure.
Category: EOS Implementation