Visions: A Machine Vision and Automation Solutions Podcast
Aug 18, 2026 · 24 min · 10 segments
Visions welcomes back Dijam Panigrahi, co-founder and COO of GridRaster, a company that specializes in next generation spatial AI and extended reality technology, who discusses AI's growing role in…
Dijam PanigrahiGuest
Jim TatumHost
Because from an effective AI governance point of view, it's not that we fit in something outside, but you are trying to build it into the overall system to be able to really be meaningful.

And all of a sudden, you have so many agents that you're trying to kind of manage and it just becomes way too much.

But one of the biggest problems play that we have seen in those environments has been there is usually like if I have to broadly put there are one that are operationals operationally kind of focused technology elements and there is one which is more what they would normally call it IT the ERPs and other systems that are there in all these places right and So there is an interplay that happens between the operational setup and the ERP system.

Right now, if you see and if you actually dig a little deeper, all the system operational systems, the way the IT is integrated with the operational system is IT is almost like a reporting tool.

there's not a bidirectional operational exchange that really kind of happening in those environments, right? In order to be really allow the agentic AIs like to make decisions and all that, even if you define the guardrails, then many of those data points that comes from the ERP systems or the IT infrastructure overall needs to be taken into consideration when you are making some decisions to automate.

And I don't think so those infrastructure exists today, right? So there is an infrastructural level kind of work that needs to be done to be getting prepared for like better, even the AI governance, right? It's a very interesting intrigue.

I mean, there are different pressures that are going on, but we absolutely see the immense value of it.

For example, for us, for example, like you want to kind of plan a robot to kind of do a repair of a certain object, right? Okay.

And we have now reached a scenario where I can just put on a headset without any coding, no path planning, anything needed.

Because from an effective AI governance point of view, it's not that we fit in something outside, but you are trying to build it into the overall system to be able to really be meaningful.

And all of a sudden, you have so many agents that you're trying to kind of manage and it just becomes way too much.

But one of the biggest problems play that we have seen in those environments has been there is usually like if I have to broadly put there are one that are operationals operationally kind of focused technology elements and there is one which is more what they would normally call it IT the ERPs and other systems that are there in all these places right and So there is an interplay that happens between the operational setup and the ERP system.

Right now, if you see and if you actually dig a little deeper, all the system operational systems, the way the IT is integrated with the operational system is IT is almost like a reporting tool.

there's not a bidirectional operational exchange that really kind of happening in those environments, right? In order to be really allow the agentic AIs like to make decisions and all that, even if you define the guardrails, then many of those data points that comes from the ERP systems or the IT infrastructure overall needs to be taken into consideration when you are making some decisions to automate.

And I don't think so those infrastructure exists today, right? So there is an infrastructural level kind of work that needs to be done to be getting prepared for like better, even the AI governance, right? It's a very interesting intrigue.

I mean, there are different pressures that are going on, but we absolutely see the immense value of it.

For example, for us, for example, like you want to kind of plan a robot to kind of do a repair of a certain object, right? Okay.

And we have now reached a scenario where I can just put on a headset without any coding, no path planning, anything needed.
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