Your assumption that operations managers will be swiftly replacing their human charges with AI agents indicates that you haven't spent enough time understanding the businesses of your customers. You really need to take a job in one of these roles for several months and spend more time talking to the people whose jobs you intend to automate away with this product, otherwise you're not going to reach people with this.
Tech people seem to have this cluster of assumptions that leads them to conclude that there aren't intelligent people in non-tech roles, and that these people can't see obvious optimizations of their roles because of their lack of coding skills or something.
The reality is usually that there are layers upon layers of hidden complexity in these businesses -- ones that require a mix of domain expertise and deep awareness of the business and human context to effectively manage. Often you won't even have so much as heuristics to go on.
That isn't to say that automation and AI can't be leveraged to great effect, but it's simply not going to be the drop-in solution you claim it is. Claiming it is in this way -- esp with your smug lip-service to job annihilation -- is going to rub people the wrong way.
Instead you should re-message this around augmentation and making jobs easier so that people can focus on other concerns, and reducing costly errors introduced by manual process.
It's unclear who exactly your target is, but if you are going for e.g. parts manufacturers, local shipping & logistics companies, small CPG brands, then the examples in your videos are all wrong. Get the weird Fibonacci stuff out of the side panel, clean out any junk that says "test" and use polished examples related to reconciling purchase orders, forecasting demand for a new product line, managing production schedules, etc. You need to make the value this thing adds accessible to intelligent people who don't have a CS degree.
> and that these people can't see obvious optimizations of their roles because of their lack of coding skills or something.
Actually the biggest mistake is thinking technology is an optimisation at all.
Many times it's easier, cheaper and faster to do it manually especially when the magnitude or complexity of the work is low. And once a task becomes repetitive the cognitive load on the worker will be orders of magnitude higher with some app or AI agent.
Definitely agreed -- I was being somewhat tongue in cheek there
The hard problems at most companies whose solutions could move the needle the farthest tend to be cultural. Sometimes we make gains in that direction as a side effect of introducing the right technology. Those cases are exceptional: technology is rarely sufficient, and as you say, often not needed in the first place.
Tech people seem to have this cluster of assumptions that leads them to conclude that there aren't intelligent people in non-tech roles, and that these people can't see obvious optimizations of their roles because of their lack of coding skills or something.
The reality is usually that there are layers upon layers of hidden complexity in these businesses -- ones that require a mix of domain expertise and deep awareness of the business and human context to effectively manage. Often you won't even have so much as heuristics to go on.
That isn't to say that automation and AI can't be leveraged to great effect, but it's simply not going to be the drop-in solution you claim it is. Claiming it is in this way -- esp with your smug lip-service to job annihilation -- is going to rub people the wrong way.
Instead you should re-message this around augmentation and making jobs easier so that people can focus on other concerns, and reducing costly errors introduced by manual process.
It's unclear who exactly your target is, but if you are going for e.g. parts manufacturers, local shipping & logistics companies, small CPG brands, then the examples in your videos are all wrong. Get the weird Fibonacci stuff out of the side panel, clean out any junk that says "test" and use polished examples related to reconciling purchase orders, forecasting demand for a new product line, managing production schedules, etc. You need to make the value this thing adds accessible to intelligent people who don't have a CS degree.