Irina Gutman

Tell me a little bit more about that foundational tech. What are some of the key components that are needed there?

From a Salesforce infrastructure perspective, and I'm going to talk about Salesforce, we have two key elements. We have data cloud, which is critical for agent force, which is the technology component that Salesforce refers to. That's our version of agentic technology. We call it agent force. Data Cloud, which allows for data syncing and console synchronization across various sources.

From a Salesforce infrastructure perspective, and I'm going to talk about Salesforce, we have two key elements. We have data cloud, which is critical for agent force, which is the technology component that Salesforce refers to. That's our version of agentic technology. We call it agent force. Data Cloud, which allows for data syncing and console synchronization across various sources.

From a Salesforce infrastructure perspective, and I'm going to talk about Salesforce, we have two key elements. We have data cloud, which is critical for agent force, which is the technology component that Salesforce refers to. That's our version of agentic technology. We call it agent force. Data Cloud, which allows for data syncing and console synchronization across various sources.

And MuleSoft is our integration layer that allows to connect any data from anywhere. Combination of Data Cloud and MuleSoft unlocks any data needs, any communication needs, being it structured data, unstructured data within Salesforce or outside of Salesforce.

And MuleSoft is our integration layer that allows to connect any data from anywhere. Combination of Data Cloud and MuleSoft unlocks any data needs, any communication needs, being it structured data, unstructured data within Salesforce or outside of Salesforce.

And MuleSoft is our integration layer that allows to connect any data from anywhere. Combination of Data Cloud and MuleSoft unlocks any data needs, any communication needs, being it structured data, unstructured data within Salesforce or outside of Salesforce.

Okay, great. So it's really having the technology to store and process the data that is then going to be used by AI, by your agents. Okay, great. Thank you for answering that. What's step four?

Okay, great. So it's really having the technology to store and process the data that is then going to be used by AI, by your agents. Okay, great. Thank you for answering that. What's step four?

Okay, great. So it's really having the technology to store and process the data that is then going to be used by AI, by your agents. Okay, great. Thank you for answering that. What's step four?

Absolutely. Absolutely. Next step is what we talked about, organizational readiness. Do we need to build that new operating model? What are the new roles? And by the way, new roles are required. We're now talking about agent owners and agent monitors. Some people go as far as saying, do we need agent HR? I don't know how many agents who has, but with one, you probably don't need an HR department.

Absolutely. Absolutely. Next step is what we talked about, organizational readiness. Do we need to build that new operating model? What are the new roles? And by the way, new roles are required. We're now talking about agent owners and agent monitors. Some people go as far as saying, do we need agent HR? I don't know how many agents who has, but with one, you probably don't need an HR department.

Absolutely. Absolutely. Next step is what we talked about, organizational readiness. Do we need to build that new operating model? What are the new roles? And by the way, new roles are required. We're now talking about agent owners and agent monitors. Some people go as far as saying, do we need agent HR? I don't know how many agents who has, but with one, you probably don't need an HR department.

Totally. I know people who are hiring AI managers, people whose role is just simply to manage the agents, which is a management position, but it's very different. Yeah.

Totally. I know people who are hiring AI managers, people whose role is just simply to manage the agents, which is a management position, but it's very different. Yeah.

Totally. I know people who are hiring AI managers, people whose role is just simply to manage the agents, which is a management position, but it's very different. Yeah.

Exactly. And there are variations of those new roles. Those new roles need to fit within organizational operating model. Standing up center of excellences that help manage that, building out new operating model, defining that process of introducing new roles, enabling new roles, upskilling people is the next absolutely critical component. And we talked about it before.

Exactly. And there are variations of those new roles. Those new roles need to fit within organizational operating model. Standing up center of excellences that help manage that, building out new operating model, defining that process of introducing new roles, enabling new roles, upskilling people is the next absolutely critical component. And we talked about it before.

Exactly. And there are variations of those new roles. Those new roles need to fit within organizational operating model. Standing up center of excellences that help manage that, building out new operating model, defining that process of introducing new roles, enabling new roles, upskilling people is the next absolutely critical component. And we talked about it before.

If some of those things were considered optional with more traditional technology, AI and especially agentic technology truly changed it and made it, as we said, as foundational as probably as data. Because if your organization is not ready to take responsibility for this technology, no one's going to use it. Change management is even more and more critical. Last piece is the roadmap.