Oct 3, 2026 · 1 hr · 12 segments
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free…
My company, maybe like nine or ten months ago, We worked with a series of health tech companies.
And we went in and we audited their AI usage, both on the actual direct expenses, like their spending on a financial side, but also internal resources of how they were allocating team members and where all the stuff was going.
We found that there was relatively significant amount of waste coming in from AI usage internally, where these are relatively new companies.
And they were burning through about 160, $170,000 a month in just pure OpEx waste.
And out of the five companies we worked with, only one of them implemented the recommendations that we had.
When you find discrepancies within clients' information and their financials and things that you just think that could be better, Have you ever had to go through that mentoring process to kind of coach them through taking that advice that's in their best interest when they might not necessarily want to put resources and attention on it at the moment? Like they want to kind of like, you know, shove it aside for now and kind of ignore it.
You have to show them the result where you're heading and get their feedback.
I don't try to change something that they don't need to make decision for, unless I see a risk.
When you see a risk they don't see, then this is something that they have to look at.
And that's how they were measuring direct cash flow at the end of the month.
And they watched, actually, we saw the report at the end of the month, but it just went, and they went updating almost daily.
I said, okay, let's move to the 13-week cash flow, which is a common report.
My company, maybe like nine or ten months ago, We worked with a series of health tech companies.
And we went in and we audited their AI usage, both on the actual direct expenses, like their spending on a financial side, but also internal resources of how they were allocating team members and where all the stuff was going.
We found that there was relatively significant amount of waste coming in from AI usage internally, where these are relatively new companies.
And they were burning through about 160, $170,000 a month in just pure OpEx waste.
And out of the five companies we worked with, only one of them implemented the recommendations that we had.
When you find discrepancies within clients' information and their financials and things that you just think that could be better, Have you ever had to go through that mentoring process to kind of coach them through taking that advice that's in their best interest when they might not necessarily want to put resources and attention on it at the moment? Like they want to kind of like, you know, shove it aside for now and kind of ignore it.
You have to show them the result where you're heading and get their feedback.
I don't try to change something that they don't need to make decision for, unless I see a risk.
When you see a risk they don't see, then this is something that they have to look at.
And that's how they were measuring direct cash flow at the end of the month.
And they watched, actually, we saw the report at the end of the month, but it just went, and they went updating almost daily.
I said, okay, let's move to the 13-week cash flow, which is a common report.
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