Daniel Dines

So when you cannot express in rules, then you can build an agent that will mimic what the user will do, but with the intent that will reduce the human input on that part of the process. You cannot really eliminate a task using agentic. Because in a way, agentic AI, it's about delivering something autonomously.

So when you cannot express in rules, then you can build an agent that will mimic what the user will do, but with the intent that will reduce the human input on that part of the process. You cannot really eliminate a task using agentic. Because in a way, agentic AI, it's about delivering something autonomously.

Well, this is a great question. Thank you. And I think this is the essence why we have it right at the agentic AI table. The answer, in short, is a rule-based and non-deterministic part actually sit within the context of a business process. It's like a long, long business process like order to cash or procure to pay. You'll have non-deterministic parts and you'll have deterministic parts.

Well, this is a great question. Thank you. And I think this is the essence why we have it right at the agentic AI table. The answer, in short, is a rule-based and non-deterministic part actually sit within the context of a business process. It's like a long, long business process like order to cash or procure to pay. You'll have non-deterministic parts and you'll have deterministic parts.

Well, this is a great question. Thank you. And I think this is the essence why we have it right at the agentic AI table. The answer, in short, is a rule-based and non-deterministic part actually sit within the context of a business process. It's like a long, long business process like order to cash or procure to pay. You'll have non-deterministic parts and you'll have deterministic parts.

It makes really sense to have the same technology and put them in the same framework. This is why agentic orchestration is so important. We have the technology that connects all the parts of the process and we have the technology to automate those steps in the process. Think about it as a metaphor. Robots are more like low-skilled employees, while agents are high-skilled employees.

It makes really sense to have the same technology and put them in the same framework. This is why agentic orchestration is so important. We have the technology that connects all the parts of the process and we have the technology to automate those steps in the process. Think about it as a metaphor. Robots are more like low-skilled employees, while agents are high-skilled employees.

It makes really sense to have the same technology and put them in the same framework. This is why agentic orchestration is so important. We have the technology that connects all the parts of the process and we have the technology to automate those steps in the process. Think about it as a metaphor. Robots are more like low-skilled employees, while agents are high-skilled employees.

But you manage them within the same platform. You don't have two different workdays.

But you manage them within the same platform. You don't have two different workdays.

But you manage them within the same platform. You don't have two different workdays.

We are the platform that manages low-skilled, and we are adding something to manage also the high-skilled. And another thing that it's not so easy to realize, it's not enough to have a technology that automate a single task.

We are the platform that manages low-skilled, and we are adding something to manage also the high-skilled. And another thing that it's not so easy to realize, it's not enough to have a technology that automate a single task.

We are the platform that manages low-skilled, and we are adding something to manage also the high-skilled. And another thing that it's not so easy to realize, it's not enough to have a technology that automate a single task.

You will have to be capable of automating thousands of tasks and manage them, deliver, deploy them, monitor them, get analytics out of them, access control, who can run agents, who can run these particular workflows, what applications they can access. We have this. We built a key differentiator in UiPath platform. It's our ability to orchestrate robots.

You will have to be capable of automating thousands of tasks and manage them, deliver, deploy them, monitor them, get analytics out of them, access control, who can run agents, who can run these particular workflows, what applications they can access. We have this. We built a key differentiator in UiPath platform. It's our ability to orchestrate robots.

You will have to be capable of automating thousands of tasks and manage them, deliver, deploy them, monitor them, get analytics out of them, access control, who can run agents, who can run these particular workflows, what applications they can access. We have this. We built a key differentiator in UiPath platform. It's our ability to orchestrate robots.

Well, it's not a completely different universe. You know what's the common denominator? Both RPA and agentic imitates people. And when you imitate people doing a process, there are slightly different ways in order to deploy and manage because it's more fragile. You need to have a lot of exception handling into places. You need to have a lot of retries of different things.

Well, it's not a completely different universe. You know what's the common denominator? Both RPA and agentic imitates people. And when you imitate people doing a process, there are slightly different ways in order to deploy and manage because it's more fragile. You need to have a lot of exception handling into places. You need to have a lot of retries of different things.

Well, it's not a completely different universe. You know what's the common denominator? Both RPA and agentic imitates people. And when you imitate people doing a process, there are slightly different ways in order to deploy and manage because it's more fragile. You need to have a lot of exception handling into places. You need to have a lot of retries of different things.