It’s no secret—the world is experiencing a fundamental shift in how work is done. Automation, powered by AI, is ushering in a new era of digital labor. Intelligent agents capable of reasoning through complex tasks with unprecedented speed and efficiency. But speed isn’t everything—if an agent’s response is wrong or too complex to consume, it’s of little use.
And I see first-hand from speaking with our customers, to truly unlock the potential of humans and agents working together, we need to ensure agents and their insights are accurate, trustworthy, and helpful. And that’s where Tableau Next comes in—Tableau Next (formerly Tableau Einstein) is the new Tableau built on the Salesforce Platform and deeply integrated with Agentforce.
Tableau has been a game changer in the world of data and analytics for over two decades. Now, we’re equipping Agentforce with analytics skills that give Salesforce an unmatched advantage in the agentic AI market.
Agentforce’s unmatched advantage: Agents enriched with Tableau skills
Tableau has spent years proving that people make better decisions when they can see and understand their data. Now, we’re bringing the same visual analytics to agentic experiences, offering richness and depth beyond AI-generated text alone.
With agents backed by Tableau skills, Agentforce has a significant edge in agentic AI: Agents don’t just tell—they show. Responses aren’t just words, but data visualizations, giving you the ability to quickly get insights from the information.
Tableau Next also plays a crucial role by bringing powerful semantic capabilities to Agentforce. By locking in business knowledge, defining key metrics, and keeping data consistent, Tableau Semantics ensures that AI has the context—your unique business knowledge—it needs to produce accurate responses.
AI doesn’t inherently understand your business jargon, industry-specific terms, or if a KPI moving up or down is “good” or “bad.” One person’s definition of “weighted pipeline” or “customer churn” might differ from another’s. However, with Tableau Semantics, agents are able to understand what people mean when they chat with their data using conversational language.
Everybody can get personalized insights without building their own dashboards or navigating through filters to find the information relevant to their business. They can simply describe what they need in natural language, and the AI agent has the semantic understanding to respond accordingly.
When a quick answer isn’t enough, agents can direct users to governed, trusted Tableau dashboards. This eliminates redundant reporting and ensures that decisions are based on a single source of truth. With Tableau and Agentforce working together, businesses can trust the insights they receive and act on them with confidence.
