Daniel Dines

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.

Think about you load a website. It's variable until it responds back, where maybe it's a lot of things that you have to build within the technology to make it more reliable. We have the experience with robots, and we are taking this experience to the agents. It's not so difficult to build an agent as to make it working reliably.

Think about you load a website. It's variable until it responds back, where maybe it's a lot of things that you have to build within the technology to make it more reliable. We have the experience with robots, and we are taking this experience to the agents. It's not so difficult to build an agent as to make it working reliably.

Think about you load a website. It's variable until it responds back, where maybe it's a lot of things that you have to build within the technology to make it more reliable. We have the experience with robots, and we are taking this experience to the agents. It's not so difficult to build an agent as to make it working reliably.

Thousands of times, you go there, you call it as part of an enterprise workflow, and it has to work. Otherwise, enterprises are not going to deliver them in an autonomous fashion in production. One story that I keep hearing from our customers is they prefer our workflows to fail than to be too smart because their risk appetite for this type of workloads, it's low.

Thousands of times, you go there, you call it as part of an enterprise workflow, and it has to work. Otherwise, enterprises are not going to deliver them in an autonomous fashion in production. One story that I keep hearing from our customers is they prefer our workflows to fail than to be too smart because their risk appetite for this type of workloads, it's low.

Thousands of times, you go there, you call it as part of an enterprise workflow, and it has to work. Otherwise, enterprises are not going to deliver them in an autonomous fashion in production. One story that I keep hearing from our customers is they prefer our workflows to fail than to be too smart because their risk appetite for this type of workloads, it's low.

This is the mentality of our customers. That will be the same mentality with delivering agents. Agents will make recommendations. Agents are not going to take actions directly. There will be a progression from agents making recommendations, going to a human user for validating, and then calling an action.