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Salesforce AI Aims to Redefine the Contact Center

Salesforce AI Aims to Redefine the Contact Center

Salesforce today announced significant new AI-enhanced contact center features for Service Cloud at the Enterprise Connect show in Orlando. As a new sponsor of Enterprise Connect, this move brings Salesforce more in focus to potential channel partners and large Universal Communications as a Service (UCaaS) customers.

The announcement, made in the aftermath of the TrailblazerDX 2024 conference, not only fulfills Salesforce’s previous AI-centric promises but also sets a new benchmark for enterprise AI applications in customer service. Salesforce’s Chief Product Officer, Service Cloud, Ryan Nichols, said, “Salesforce’s new innovations empower contact centers with real-time data and trusted AI to resolve cases and provide proactive, personalized service when and how customers want it — and sometimes even before they know they ask for it.”

New Service Cloud AI Features

The new innovations in Service Cloud equip agents and supervisors with automation and AI-powered insights to ensure better support and faster resolutions. Here’s a quick summary of what’s new.

Einstein Conversation Mining

By leveraging Data Cloud and Einstein AI, service leaders can now aggregate and analyze conversation data. This helps to understand the common reasons customers reach out across various channels such as voice, messaging, and third-party apps. These insights can then be turned into actionable steps. This includes creating knowledge articles for self-service or training Einstein Bots to handle specific types of returns.

Knowledge-Powered AI and Voice

Einstein AI can now scan live customer conversations across multiple channels, including phone, WhatsApp, and Facebook, and suggest the most relevant knowledge articles to service agents. This helps them solve cases more efficiently and enhance the overall customer experience.

Generative AI Survey Summarization

Supervisors can utilize generative AI to identify and sort trends and root causes of low customer satisfaction scores in a dashboard or report. This enables agents to proactively follow up with customers using personalized communications that address these root causes.

Generative Knowledge Creation

Service Cloud customers can now use AI to automatically generate new knowledge articles based on data from closed customer conversations and cases. This reduces authoring time while creating a more comprehensive knowledge base. Once a new article is created, it can be reviewed, edited, and added to the internal knowledge base as a resource for others.


  • Generative Knowledge Creation: Generally available now
  • Service Intelligence Einstein Conversation Mining for Voice and messaging: Generally available in Summer 2024
  • Einstein Article Recommendations for Voice and messaging channels: Pilot in Summer 2024
  • Generative AI Survey Summarization: Generally available in Summer 2024

Generative AI: Conversation Mining and Knowledge Creation

Einstein Conversation Mining allows organizations to gain valuable insights from customer interactions across various channels. By analyzing these conversations, service leaders can identify common pain points, recurring issues, and opportunities for improvement.

As Nichols explained in a interview, “Now that we’ve screened all these conversations in the data cloud, we can look for insights. Every service leader is being asked to do more with less, and their customers are asking for more than ever.”

But the real magic happens when these insights are transformed into actionable knowledge. Generative AI comes into play here, enabling the automatic creation of new knowledge articles based on closed customer conversations and cases. This virtuous cycle of turning conversational data into knowledge is a game-changer for service organizations.

“You can take that conversation transcript and use it to generate a brand-new knowledge article. The next time somebody calls in asking about the same thing, the agent will have a great knowledge article recommended to them. It’s a virtuous cycle of turning conversational data into knowledge,” Nichols explained.

The Importance of Data and Readiness

While the potential of AI in transforming service centers is undeniable, organizations must also understand the importance of data and readiness to fully harness its power. Salesforce’s AI revolution is built upon a solid foundation of data, emphasizing the need for companies to invest in their data strategies and Customer 360 initiatives.

As Nichols pointed out, “Companies need to invest in their core data capabilities. Do you have a Customer 360? You need to be able to say yes to that before you have a trusted foundation to make the most of AI. Without the data, you’re not going to be able to do AI very well. Your AI revolution needs to start with a data revolution.”

This means that organizations must prioritize building a comprehensive Customer 360 view. This means integrating data from various sources, and ensuring data quality and accessibility. Only then can they truly leverage the full potential of AI-powered innovations like those introduced by Salesforce.

Enterprise Connect: A New Channel for Salesforce

Salesforce’s decision to attend Enterprise Connect as a new sponsor underscores its further focus on strengthening its presence in the contact center and customer service technology space. Nichols emphasized the significance of this move, noting, “Enterprise Connect represents a pivotal gathering of professionals and organizations at the forefront of contact center technology. Our participation as a new sponsor is a testament to Salesforce’s commitment to leading the charge in transforming contact centers with AI and data-driven solutions. It’s an opportunity for us to showcase how Service Cloud, powered by Einstein AI, is redefining customer service operations, making them more efficient, proactive, and personalized.”

This engagement at Enterprise Connect signals Salesforce’s intention to not only showcase its innovative capabilities but also to engage directly with industry leaders and potential customers. By aligning itself with the themes and audience of Enterprise Connect, Salesforce is making a clear statement about its direction and priorities, emphasizing the importance of AI and data in evolving the contact center landscape.

Rolling Salesforce AI Thunder: More To Come

Salesforce’s new AI-powered features for Service Cloud mark another significant milestone in the company’s journey to redefine customer service with cutting-edge technology. By harnessing the power of generative AI, conversation mining, and knowledge creation, Salesforce empowers service organizations to deliver smarter, faster, and more personalized experiences to their customers.

As Salesforce continues to push the boundaries of what’s possible with Enterprise AI, it’s clear that the company is determined to maintain its position as a leader in the field. To keep it up, I expect this to only be the beginning. Salesforce’s cadence of PR announcements surrounding AI innovations should continue to accelerate throughout 2024.

However, the success of these AI initiatives will heavily depend on organizations’ readiness to embrace change, invest in their data strategies, and build a solid foundation for AI to thrive. Salesforce’s participation as a new sponsor at Enterprise Connect underscores its strategic focus on engaging with industry leaders and potential customers in the contact center and customer service technology space.

For IT leaders considering their enterprise AI partner, Salesforce’s comprehensive and cutting-edge offerings make a compelling case. While it may come with a premium price tag, the potential return on investment in terms of enhanced customer experiences, increased efficiency, and revenue growth cannot be ignored.

As the AI revolution continues to unfold, one thing is certain: Salesforce will be at the forefront, driving innovation and setting the standard for excellence in enterprise AI solutions. The question is, are you ready to embark on this transformative journey with them?