This tool maps the most common tasks in our course design and development processes and scores how prepared we are to adopt AI into our workflows. Where we score low, adding AI doesn't accelerate the work. It accelerates the problems already in it. Where we score high, we have a clear path to handing off the production work that's been slowing us down, which means more time spent on the decisions, design thinking, and learner-centered work that no tool can replace.
Step 1: Make it yours.
The list is a starting point, not a requirement. If a task doesn't apply, delete it with the × button. Your score will update automatically to reflect only what's relevant to you.
Step 2: Check what's standardized.
Check each task the team handles the same way every time (these are the tasks that we have documented, and are consistently performed across the team). If a process exists but lives only in someone's head or is done differently by different designers, leave it unchecked for now.
Step 3: Read your score.
The score panel on the right shows where we stand. Each result includes a clear next step so you know exactly what to focus on before we add AI into the workflow.
What is this report?
This document identifies "procedural debt"—standardized tasks that are currently ad hoc or undocumented. AI requires a consistent standard to be effective.
How to use it:
The items listed below are the gaps in your workflow. Prioritize documenting these standard operating procedures to bridge the gap between Content Creator and AI-Fluent Learning Experience Engineer.
You now have a data-driven view of your process maturity. A readiness score is not a final destination; it is a prioritization map for your operational standards.
If your scores show gaps, focus on standardizing those specific tasks before attempting to automate them. AI cannot fix a broken process; it only makes a broken process run faster. Documentation is the prerequisite for delegation.
Prioritize the unchecked items in your audit. Once a task has a documented standard operating procedure, it is ready for AI experimentation. This transition allows you to move from Content Creator to the role of AI-Fluent Learning Experience Engineer, where your primary value lies in your judgment and pedagogical expertise.