Decentralized Agentic AI and Enterprise Systems

Oh, that's true.

Absolutely.

And you know, when we've been working with clients a lot of times, so one is being able to agent really is somebody something or I don't know what to call a thing or what to call it, but an agent really and reminds me of matrix, by the way.

So I guess the word really came from there as well as autonomous decision making, right? So as long as your workflow or whatever you're automating requires a certain level of autonomous decision making, which is very difficult to write rules for or specific rules for, then yes, then you need it, right? So, I mean, when we talk to clients, when they come to us and they're saying that, hey, I want to integrate AI agents or deploy those, a lot of times we just tell them that, hey, you don't even need an agent, right? So this is like good old automation software.

You can build the decision tree, you can build the logic and just run it.

So you just pay once for developing that code base rather than paying every time for an LLM cost as well and everything else.

You know, you really don't need an

agent for

it.

You touched on something super interesting and super important from my perspective.

You know, the autonomy within the decision-making process, because that leads to one of two pathways.

Either the, let's just use the term agent loosely, either the agent can make a decision and act on it because we make decisions for action, right? It makes a decision and then goes into some type of waiting process where a human or some other entity interjects and then takes that decision.

Those are two very different pathways with very different levels of criticality attached to each one.

And I think people are starting to realize that in theory, because it sounds great.

My agent makes a decision and it takes action.

I don't have to do anything.

That sounds great in theory.

But when you put that into action, depending on what environments you play in, there are implications.

So I'll give you an example.

When I was at Bayshore Networks, we dealt with OT or ICS systems, right? Physical equipment.

If you had any type of decision making technology that did not have what's called line of sight, in other words, that I can see where the action is taking place, you put human lives at risk.

So, for example, we dealt with a robotics plant that built cars.

Those robots are, if you've never seen them, they're enormous.

I mean, enormous.

They're like 12 high, you know, and they swing an arm across.