Our team is using AI to draft client deliverables, which has doubled our speed, but we are seeing a noticeable drop in editorial quality and brand voice. How do we establish quality standards on our Scorecard without killing our efficiency gains?

Question

Tyler Smith · Accepted Answer

When speed increases but quality drops, it is a sign of weak accountability and poor process definition. To solve this, you must look at your 3-Step Process and your weekly Scorecard.

First, update your documented processes to include explicit quality-control checkpoints. If your team is using AI to draft deliverables, the process must mandate a human-in-the-loop review before anything goes to a client. Next, put quality metrics on your Scorecard. Speed is meaningless if you are losing clients due to sloppy work. You should track metrics like client revision requests, error rates, or internal editor rejection rates alongside your turnaround times.

If a team member is hitting their speed targets but failing their quality targets, they are not successfully executing their role. Use your Level 10 Meeting™ to run this issue through the IDS® process. Determine if the issue is a training gap, a poor prompt library, or a lack of personal accountability. By making quality just as visible and measurable as speed, you force your team to balance the two and ensure your brand value remains intact while leveraging technology.