In our last post, we talked about how AI is a "data problem," not just a "prompt problem." But there’s a second hurdle that kills most AI implementations: Linear Thinking.
Most teams try to use AI to do exactly what they were doing before, just slightly faster.
- Old way: Write an email manually.
- "New" linear way: Ask ChatGPT to write that same email.
That’s not a system; that’s just a faster typewriter.
Lateral Teams operate differently. We don't look for a better typewriter; we look at the entire communication architecture.
In the Buss Down Chef case mentioned yesterday, the solution wasn't just "using an AI image generator." It was building a workflow where product data and brand identity were merged before the AI ever touched it.
To build a truly "Lateral" workflow, you need to ask three questions:
- The Input: Is the data I’m feeding the AI structured, or is it just noise?
- The Logic: Am I asking AI to think or just to format? (Hint: It’s better at formatting structured thought).
- The Feedback: How does the output get better tomorrow without me typing a longer prompt?
The "Lateral" Challenge for today: Take one repetitive task your team does. Instead of asking "How can AI do this?", ask: "If I had 1,000 people doing this task for free tomorrow, how would I organize the data so they couldn't possibly mess it up?"
That organization is your system. The AI is just the engine.
What’s one process in your business that feels "stuck" in a linear workflow? Let’s brainstorm how to flip it laterally in the comments. 👇