The Lego Hire
AI doesn't need a bigger role in your company. It needs a defined one.
3 min read
Giving your company AI without a process map is like handing someone a bin of Lego with no instructions. They'll build something. It might even be impressive. But it probably won't be what you actually needed, and you'll spend more time sorting through the pieces than you saved by opening the box.
That same pattern plays out with every new hire who starts without a clear role. The person is smart, experienced, and ready to contribute, but the team hasn't mapped out the work that needs to be done. So the new employee ends up doing a little of everything and not enough of anything. Busy, but not effective. Helpful in theory, underutilized in practice.
The Backwards Approach
This is exactly what's happening with AI right now.
Companies everywhere are adopting AI tools because the pressure to adopt is enormous and the promise is compelling. But most of them are starting with the tool and then looking around for places to use it, which is exactly backwards. It's the equivalent of hiring someone impressive and then writing the job description after they start. You end up with activity instead of impact, and a growing sense that this powerful thing you brought in isn't delivering what you expected.
The Better Starting Point
The better starting point isn't AI at all. It's your process map.
In continuous improvement methodology, every activity in a workflow falls into one of three categories: value-add (the work your customer is actually paying for), non-value-add (waste that should be eliminated), and non-value-add but necessary (work that doesn't directly create value but keeps the operation running). That third category is where AI belongs.
Think about the activities that take up time and attention but don't require human judgment, creativity, or relationship for every step of the process. Data entry, status updates, report formatting, routine communications, scheduling coordination, first-pass document review. These are the tasks that have to get done but don't benefit from having a person's full brain behind them for the entire workflow. AI can carry the bulk of that work, and your people provide the oversight and final judgment to make sure it lands right.
What Changes When You Map First
When you start with the process map instead of the tool, two things happen. First, you see the actual shape of the work, including where time goes, where effort gets duplicated, and where people are spending hours on tasks that don't move the business forward. Second, you can make a clear, specific case for where AI fits and where it doesn't, which means you stop experimenting randomly and start implementing with purpose. The goal isn't just to offload tasks. It's to give your people their time back for the work that actually drives the business forward, the thinking, building, and relationship work that only humans can do well.
This is the same principle behind value stream mapping, where you trace the flow of work from start to finish and identify every point where time is spent but value isn't created. It's the same logic that drives Lean's waste categories, things like waiting, overprocessing, and unnecessary motion, all of which are activities AI can reduce or eliminate when they've been properly identified. The methodology isn't new. The application to AI is just the latest version of a question operations teams have been asking for decades: what work can we do differently so people can focus on what actually matters?
The founders I see getting the most out of AI aren't the ones who adopted first or spent the most. They're the ones who understood their operations clearly enough to know exactly what they needed before they brought anything in. They didn't just open the box and start building. They started with the blueprint.
Key Takeaway
AI doesn't need a bigger role in your company. It needs a defined one. Map your processes, identify the work that's necessary but doesn't require human judgment at every step, and give AI a job description before you give it a desk. The payoff isn't just efficiency. It's your team spending more of their time on the work that actually moves the business forward.
If you're experimenting with AI but not sure it's landing where it should, the answer might not be a better tool. It might be a clearer picture of the work itself. I'd welcome that conversation.