Alteryx, an agentic analytics and automation company, today unveiled new AI capabilities within Alteryx One designed to bring trusted enterprise business logic directly into the AI agents teams already rely on. By making governed workflows and datasets accessible through external AI tools, organizations can adopt a “build once, govern once” approach, avoiding the need to repeatedly recreate complex business processes. This enables enterprises to scale AI-driven actions more securely and efficiently while minimizing security exposure and controlling escalating token costs.
As enterprises deploy AI across the business, generating answers is only the beginning. Organizations want AI to deliver trusted answers, take action, and automate repeatable business processes. AI agents are powerful, but they operate in a vacuum. In fact, 71 percent of IT leaders report that AI initiatives are most successful when IT and business teams collaborate closely to bridge this gap. By acting as the connective tissue between an agent and the enterprise’s governed business logic, Alteryx can help ensure every AI-driven action is as accurate and compliant as a human-executed workflow.
Alteryx calls this approach VURA: AI that is Visible, Understandable, Repeatable, and Auditable. For business teams, VURA means they can see where an answer or action comes from, understand the business logic behind it, and rely on the same approved calculations and workflows to produce consistent results. Alteryx connects AI to the workflows, data, and business rules the organization already uses and governs, so business users can understand, validate, reuse, and act on AI with confidence.
“As AI changes where and how people interact with enterprise software, the challenge is no longer simply generating answers—it is ensuring those answers reflect trusted data, business context, and governed logic,” said Stewart Bond, Vice President, Data Intelligence and Integration Software at IDC. “By making approved workflows and analytics available through the AI assistants and agents employees already use, Alteryx is addressing an important requirement for moving AI from experimentation into reliable, repeatable business operations at scale.”
“Generative AI is brilliant at brainstorming, but it often struggles with the precision required for enterprise execution. Organizations don’t need agents that guess at business rules and burn through tokens; they need AI that operates on the same trusted business logic and governance that underpin the rest of the business. By connecting existing tools to a governed business logic layer, we are allowing enterprises to stop the ‘re-work’ tax of rebuilding business rules for every new agent, ensuring that every AI-driven action is as reliable as the calculations they already trust.”
-Ben Canning, Chief Product Officer at Alteryx
From AI Answers to AI Action
As AI transforms the enterprise, the analyst role is evolving from a ‘data mechanic’ doing manual pipeline work into an ‘architect of business strategy’ who governs business logic. Analysts are now central to bridging the gap between business needs and AI execution, ensuring that decisions are data-driven and actionable. These new Alteryx capabilities fundamentally shift analyst and operations productivity, enabling them to use AI as an assistant to build workflows and deliver insights directly to stakeholders through agents. This shift is critical: according to recent Alteryx research, 65 percent of analysts confirm that AI delivers the most value when business logic is managed at the business level, exactly where Alteryx grounds these new AI capabilities.
Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic in visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.
