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This is How You Capture The Compounding Value of AI

  • Writer: Matt Symes
    Matt Symes
  • 17 hours ago
  • 2 min read

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Integration is where all the value with AI is.


Organizations are handing out tools. People are trying things. And according to McKinsey and BCG, somewhere between 94 and 96% are getting worse results after integration, not better.


That’s the J-Curve.



They grabbed something that looked like a solution, pointed it at the noise, and made the noise louder.


The 5% that are compounding results are doing one thing differently.


  1. They identified the business constraint first.

  2. Then they drove an AI solution to that constraint, with their people, at the workflow level.


That’s the K-Curve.


The compounding value from consistent investment and re-investment on the right constraint.


A cladding company came to us feeling like they needed to grow their client base. When we mapped their workflow, two things emerged.


First, writing estimates was taking forever.


Second, the estimating process itself had no consistency across the team. Those sound like two different problems. They weren't. One was the symptom, the other was the root.


They fixed both. Integrated AI into the new workflow. They doubled.


They're on track to double again. Not from new leads. From removing a bottleneck that had been quietly throttling them for years.


Before I know the constraint, I'm just beating around in the bush. I'm not fixing something that's going to give me business value.


So before you spend another dollar on tools, before you add another subscription to the pile, before you ask your team to try another new thing: speak business first.


Find the workflow that, if it moved faster with less effort, would unlock the most value in your business right now.


That's your constraint.


Then you want to map that workflow with the people doing the work. Find the AI solution with the team. So you’re doing the improvement with people instead of to people.


Once you do that, AI stops being overwhelming.


You're not trying to learn everything anymore. You’re just focused on learning how to do one workflow better at a time.


You're pointing a very precise capability at a very specific problem. And that's when it starts to pay off.


Cheers,

Matt


​​P.S. The reason you haven't had time to figure out AI is the same reason you need to. We have only a couple spots left in our 4 week AI for Leadership Teams program starting June 2.


Only 8 hours time commitment total to get clarity on where your team needs to amplify with AI.


 
 

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