{"id":10623,"date":"2025-10-29T16:32:59","date_gmt":"2025-10-29T08:32:59","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=10623"},"modified":"2025-10-29T16:33:01","modified_gmt":"2025-10-29T08:33:01","slug":"agentic-enterprise-starts-with-what-you-already-have","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/ap\/blog\/agentic-enterprise-starts-with-what-you-already-have\/","title":{"rendered":"The Agentic Enterprise Starts With What You Already Have"},"content":{"rendered":"\n

AI isn\u2019t coming \u2014 it\u2019s here. And it\u2019s transforming how businesses make decisions, act on insights, and serve customers. The challenge isn\u2019t whether to adopt AI, but how to do it without starting over. Too often, companies are told that succeeding with AI means ripping and replacing everything: new platforms, new data architectures, new dashboards. That narrative is not only flawed \u2014 it\u2019s a step backward.<\/p>\n\n\n\n

At Tableau, we see a better path forward. The era of the agentic enterprise<\/strong> \u2014 where AI-powered agents proactively deliver insights and drive decisions \u2014 is upon us. And the fastest way to unlock its value isn\u2019t by abandoning your existing analytics investments. It\u2019s by building on them.<\/p>\n\n\n\n

The era of the agentic enterprise<\/h2>\n\n\n\n

The agentic enterprise is about more than AI. It\u2019s about AI that acts: surfacing the right insights at the right time, helping teams make smarter decisions, and automating tasks with purpose. In this world, speed and agility aren\u2019t optional \u2014 they\u2019re table stakes.<\/p>\n\n\n\n

However, achieving this requires more than just tools. It requires a foundation: trusted data, consistent metrics, and systems that can communicate seamlessly. Without this foundation, AI can produce answers \u2014 but not actionable insights.<\/p>\n\n\n\n

That\u2019s where Tableau comes in. We\u2019re enabling enterprises to harness agentic capabilities by connecting what already works in their data and analytics ecosystem to the AI-powered experiences of tomorrow.<\/p>\n\n\n\n

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Why rip-and-replace isn\u2019t the answer<\/h2>\n\n\n\n

Many companies fall into the trap of believing AI success requires a full overhaul. Closed ecosystems promise innovation, but at a cost: vendor lock-in, redundant data copies, and disruption to workflows.<\/p>\n\n\n\n

The reality is different. Open, interoperable analytics<\/strong> unlocks AI value faster, reduces risk, and preserves the investments your teams have already made. It\u2019s not just a technical choice \u2014 it\u2019s a strategic one. Open architectures<\/a> let your enterprise scale AI adoption while maintaining control, flexibility, and ROI.<\/p>\n\n\n\n

Closed AI platforms force lock-in. Open architectures accelerate value \u2014 letting your teams build on what already works.<\/em><\/h6>\n\n\n\n

What analytics interoperability means<\/h2>\n\n\n\n

Analytics interoperability is the ability for different systems to talk to each other \u2014 to share data and insights seamlessly, without friction. In practical terms, it ensures that AI agents can access the right data at the right time, regardless of where it lives.<\/p>\n\n\n\n

Within the Tableau ecosystem, this isn\u2019t a buzzword. It\u2019s a reality. Tableau Cloud, Tableau Server, CRM Analytics<\/a>, and Tableau Next<\/a> are designed to work together, creating a cohesive environment where insights, data, and actions flow naturally. For enterprise leaders, that means faster adoption, reduced risk, and measurable ROI.<\/p>\n\n\n\n

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The Tableau advantage: Open data layer + semantic layer<\/h2>\n\n\n\n

Tableau delivers interoperability through two foundational capabilities.<\/p>\n\n\n\n

Open data layer<\/h3>\n\n\n\n

The open data layer<\/a> acts as a single pane of glass for all your data. With a zero-copy architecture<\/a>, you can query data directly where it lives \u2014 whether that\u2019s Snowflake, Databricks, or AWS \u2014 without creating and managing costly, redundant copies. This approach unifies your analytics while preserving your existing investments and reducing complexity.<\/p>\n\n\n\n

Tableau Semantics<\/h3>\n\n\n\n

The AI-powered semantic layer<\/a> adds context to your data. It\u2019s the who, what, and why<\/em> behind your numbers, ensuring consistent metrics and definitions across the business. With Tableau Semantics, your AI agents have the context they need to deliver insights that are not only accurate, but actionable.<\/p>\n\n\n\n

AI can give numbers \u2014 but only context gives meaning. That\u2019s what Tableau Semantics delivers.<\/em><\/h6>\n\n\n\n

These capabilities together create a foundation where agentic AI can thrive without forcing a rebuild of your analytics stack.<\/p>\n\n\n\n

Real-world benefits of interoperability<\/h2>\n\n\n\n

Open and connected analytics unlock three core benefits for enterprise leaders:<\/p>\n\n\n\n

1. Amplify existing work to accelerate ROI<\/h3>\n\n\n\n

Your dashboards, reports, and data models represent years of work. With Tableau Next, you don\u2019t have to start over. You can enhance your existing Tableau Cloud, Tableau Server, and CRM Analytics assets with agentic capabilities, using what you\u2019ve already built as a trusted foundation. This approach accelerates ROI, allowing your teams to realise value faster.<\/p>\n\n\n\n

2. Build trust in AI instantly<\/h3>\n\n\n\n

Trust is the cornerstone of AI adoption. Without consistent, governed data, AI agents can provide answers \u2014 but they can\u2019t explain what those numbers mean. Tableau Semantics ensures your AI agents operate on business context from day one, delivering insights that are reliable, accurate, and relevant.<\/p>\n\n\n\n

3. Move from data to decisions faster<\/h3>\n\n\n\n

The ultimate goal of analytics is to drive action. Interoperable systems ensure that insights flow seamlessly into your workflows \u2014 whether that\u2019s CRM dashboards, Slack notifications, or Tableau visualisations. By connecting data, insights, and actions, enterprises can turn a slow, multi-step process into a single, cohesive moment of truth, empowering faster, more confident decisions.<\/p>\n\n\n\n

Examples in practice<\/h3>\n\n\n\n

CRM Analytics<\/strong> datasets can be output to Data 360 to power conversational AI in Tableau Next, turning structured data into actionable insights:<\/p>\n\n\n\n

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Tableau Cloud Published Data Sources<\/strong> can be connected to Tableau Semantics, leveraging trusted business logic to create new agentic experiences \u2014 without migrating data:<\/p>\n\n\n\n

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Why analytics interoperability matters now<\/h2>\n\n\n\n

In today\u2019s world, speed and agility are critical. Enterprises that cling to outdated strategies risk falling behind, while those that embrace interoperability accelerate AI adoption and ROI. By building on the analytics you already trust, you avoid unnecessary disruption, safeguard investments, and create a scalable path toward the agentic enterprise.<\/p>\n\n\n\n

Your enterprise\u2019s next chapter isn\u2019t about replacing the past \u2014 it\u2019s about connecting it to the future.<\/em><\/h6>\n\n\n\n

The path forward<\/h2>\n\n\n\n

Tableau\u2019s approach to interoperability isn\u2019t just about integrating products \u2014 it\u2019s about creating a trusted, connected foundation<\/strong> for AI. It allows enterprises to:<\/p>\n\n\n\n