Is Data Cloud Required for Agentforce?

Nikita M.

Media-savvy content creator, with a curiosity for all Salesforce experiences.

Updated: Feb 12th, 2025

One of the most popular questions we have seen floating around the web is, “Does Agentforce Require Data Cloud?” We know that this topic is super important to businesses who have Agentforce for developers and admins to maintain.

So, let’s dive in and answer this burning question!

Do You Need “Data Cloud” for Agentforce?

Technically, you don’t need Salesforce’s Data Cloud to use Agentforce solutions. However, your operations run much smoother when you link Agentforce and Data Cloud. For this reason, let’s explore how Salesforce’s Data Cloud makes Agentforce work better.

How Data Cloud Improves Agentforce

In this short article we only have time to cover three main points. Let us know if you can relate to these Artificial Intelligence (AI) enhancements or are searching for a specific solution like Agentforce for sales teams.

Feel free to browse through our website. We have a variety of articles related to Agentforce. But for now, let’s continue with how Data Cloud enhances Agentforce capabilities.

1. More Context for Agents

The first improvement from connecting Agentforce to Data Cloud is more context for your digital workforce. This occurs organically as Data Cloud is designed to unify customer data from many sources. When real-time customer data is stored in a single location, digital AI agents get the following benefits:

Digital AI agents access a complete view of customer data to analyze before responding to users in more personalized ways.

In Data Cloud, digital AI agents can find past purchasing behaviors and preferences. This type of information can guide them on how to respond to customers better.

This integration gives businesses better automation capabilities. For example, a digital AI agent can interact with a customer at a pre-determined time with specific information.

With a better understanding of customers, digital AI agents can intelligently respond to customers.

2. Access to Einstein Data Library

Einstein Data Cloud is a component of Salesforce Data Cloud. It is made up of AI-ready datasets that improve Salesforce’s Einstein AI models for smarter software solutions. When Agentforce connects to Einstein Data Library, it gets the following improvements:

Agentforce accesses AI-ready datasets and utilize them to provide users with better predictions or recommendations.

Agentforce and Einstein Data Library give human colleagues deeper insights by analyzing user behaviors.

This integration gives digital AI agents smarter responses when interacting with users.

Training AI models now happens faster than before, making them more effective for teams.

So, by harnessing the powers of Einstein Data Library, Agentforce is much more focused on working with accurate and responsible data.

If you are interested in this area of study, check out our Einstein AI Vs. Agentforce article. It explores when to use each Salesforce AI solution.

3. Improved Agentforce Analytics

Agentforce’s integration into Data Cloud allows researchers to dream big. The Agentforce’s Analytics feature improvement provides researchers with more accurate insights into how the company’s digital AI agents perform.

Researchers can utilize customizable dashboards and analyze reports when working with their digital AI agent data.

These visual representations of data are also helpful to managers. It gives them guidance on whether to change the configuration of their digital workforce, such as asking admins to edit topics and actions.

Here are a few results of the new and improved Agentforce Analytics connected to Data Cloud:

Data Cloud gives Agentforce Analytics unified customer data from multiple sources.

Researchers analyze real-time data.

Researchers can create reports displaying predictions and trends.

Managers can make stronger decisions based on business data.

Wrapping Up Agentforce and Data Cloud

Thanks for reading our article on Data Cloud and Agentforce. This past month, we have focused on updating you on the latest Agentforce topics. In this article, we explored how Data Cloud improves Agentforce.

For the latest on this Salesforce AI product, remember to check out our Agentforce 2.0 article.

Kickstart Your AI Processes with Salesforce and Titan

Whether you are working with Agentforce or Data Cloud, your systems need clean and accurate data. High-quality data is essential for letting your AI tools and systems do their job correctly. If you want to enrich your Salesforce data in real-time so your digital workforce has the best information to learn from and work with, we recommend you check out our no-code platform, Titan.

Titan integrates directly into Salesforce without any coding knowledge. Use our point-and-click tools to get started ASAP to build forms, documents with e-signatures, surveys, and portals that sync data to Salesforce in real-time. The best part about choosing Titan is that we offer a bi-directional data flow between your web projects and Salesforce. So, not only do we transfer data to Salesforce, but we also pull your data into forms, documents, surveys, and more to turbocharge your customer experiences.

You will also be happy to hear that your digital AI workforce can work as easily with Titan as your human colleagues. Digital AI agents can quickly generate a document pre-filled with Salesforce data (like an invoice) to deliver directly to customers and close deals faster than before.

This is just one way you can use Titan to optimize Salesforce processes. For custom Salesforce solutions, contact us through one of our social media channels below. We would love to assist you with your specific use case.

See you soon!

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Disclaimer: The comparisons listed in this article are based on information provided by the companies online and online reviews from users. If you found a mistake, please contact us

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