Daniel Dines

They will prefer to use us to have connectors, feed agents only with the data they really need to make a decision, and then have the orchestration in an agnostic way.

They will prefer to use us to have connectors, feed agents only with the data they really need to make a decision, and then have the orchestration in an agnostic way.

Yes. And also agents that will be on our platform for tasks that require connecting to multiple platforms. Most of RPA tasks today don't work with one single platform. They work across platforms. There are so many tasks that you will create agents for that require data from two or more systems simultaneously in order to make a decision.

Yes. And also agents that will be on our platform for tasks that require connecting to multiple platforms. Most of RPA tasks today don't work with one single platform. They work across platforms. There are so many tasks that you will create agents for that require data from two or more systems simultaneously in order to make a decision.

Yes. And also agents that will be on our platform for tasks that require connecting to multiple platforms. Most of RPA tasks today don't work with one single platform. They work across platforms. There are so many tasks that you will create agents for that require data from two or more systems simultaneously in order to make a decision.

Instead of going to see what kind of roles do you have in your company? Like you have a BDR person and so on. We go and ask, what kind of processes do you run today? How does your procure-to-pay process look like? What are the rule-based parts? What are the parts that are non-deterministic that are good use cases for agents? And let's go and deliver those.

Instead of going to see what kind of roles do you have in your company? Like you have a BDR person and so on. We go and ask, what kind of processes do you run today? How does your procure-to-pay process look like? What are the rule-based parts? What are the parts that are non-deterministic that are good use cases for agents? And let's go and deliver those.

Instead of going to see what kind of roles do you have in your company? Like you have a BDR person and so on. We go and ask, what kind of processes do you run today? How does your procure-to-pay process look like? What are the rule-based parts? What are the parts that are non-deterministic that are good use cases for agents? And let's go and deliver those.

It's the same approach that we did with RPA. That can lead to immediate successes because you actually look to smaller tasks. In a healthcare system, you are doing something more like processing denials or prior authorization. We'll focus on these types of tasks and we'll create agents specifically for

It's the same approach that we did with RPA. That can lead to immediate successes because you actually look to smaller tasks. In a healthcare system, you are doing something more like processing denials or prior authorization. We'll focus on these types of tasks and we'll create agents specifically for

It's the same approach that we did with RPA. That can lead to immediate successes because you actually look to smaller tasks. In a healthcare system, you are doing something more like processing denials or prior authorization. We'll focus on these types of tasks and we'll create agents specifically for

this and we will connect them with the robots that do the the rule-based task in the in this orchestration layer what do you think is the biggest misnomer that people have about the non-rule-based agent layer that they think but they're wrong about the biggest misnomer is that agents will be good at doing rule-based tasks which they are not for sure

this and we will connect them with the robots that do the the rule-based task in the in this orchestration layer what do you think is the biggest misnomer that people have about the non-rule-based agent layer that they think but they're wrong about the biggest misnomer is that agents will be good at doing rule-based tasks which they are not for sure

this and we will connect them with the robots that do the the rule-based task in the in this orchestration layer what do you think is the biggest misnomer that people have about the non-rule-based agent layer that they think but they're wrong about the biggest misnomer is that agents will be good at doing rule-based tasks which they are not for sure

So let's say your success rate is 0.99, right? At every step. If you'll do 100 steps and you multiply 0.99, you will get to a very small number.

So let's say your success rate is 0.99, right? At every step. If you'll do 100 steps and you multiply 0.99, you will get to a very small number.

So let's say your success rate is 0.99, right? At every step. If you'll do 100 steps and you multiply 0.99, you will get to a very small number.

that means that the error rate is huge for every step that you you are taking in the process so they are not good at this and llms will yield a different result every time you ask them even the same questions because they in a way they work like our mind works i'm blunt

that means that the error rate is huge for every step that you you are taking in the process so they are not good at this and llms will yield a different result every time you ask them even the same questions because they in a way they work like our mind works i'm blunt

that means that the error rate is huge for every step that you you are taking in the process so they are not good at this and llms will yield a different result every time you ask them even the same questions because they in a way they work like our mind works i'm blunt