New conversational analytics, agent-building, MCP server, and ChatGPT plugin help enterprises extend trusted workflows and business logic across AI tools and agents

IRVINE, Calif., Sept. 9, 2026 /PRNewswire/ — Alteryx, the agentic analytics and automation company, today announced new AI capabilities across Alteryx One that connect enterprise-grade business logic directly to the AI agents teams already use. By extending governed workflows and datasets to external AI tools, organizations can “build once and govern once,” eliminating the need to recreate complex business logic from scratch. This approach allows enterprises to scale AI action with confidence, helping to reduce both security risks and runaway token costs.

Key Findings

• 71 percent of IT leaders report that AI initiatives are most successful when IT and business teams collaborate closely to bridge the gap between AI agents and enterprise business logic.
• NextWave achieved a 20x reduction in LLM token consumption using an Alteryx workflow during a complex Office of the CFO reconciliation between front-office and back-office data.
• Up to 93 percent reduction in token consumption and up to 85 percent increase in speed on tasks involving raw, ungrounded data, when combining an LLM with an existing, trusted Alteryx workflow.
• Up to 83 percent reduction in token costs and up to 65 percent increase in speed on tasks involving clean, grounded data.
• 65 percent of analysts confirm that AI delivers the most value when business logic is managed at the business level.

Bridging AI Agents and Governed Business Logic

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.”

The Economics of Governed AI

This approach also improves the economics of AI. By executing complex analytics within Alteryx rather than relying on an LLM to reason through them, organizations can reduce token consumption while maintaining governed, repeatable outputs. NextWave recently demonstrated this impact, achieving a 20x reduction in LLM token consumption during a complex Office of the CFO reconciliation between front-office and back-office data. Subsequent internal testing confirmed this efficiency, showing that Alteryx workflows significantly outperformed standalone LLM usage. Combining an LLM with an existing, a trusted Alteryx workflow achieved up to 93 percent reduction in token consumption and up to 85 percent increase in speed on tasks involving raw, ungrounded data. For tasks on clean, grounded data, token costs were reduced up to 83 percent and speed increased up to 65 percent.

“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,” said Ben Canning, Chief Product Officer at Alteryx. “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.”

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 moves governed analytics beyond the platform, applying trusted business logic to the AI environments where people already work by giving users, AI assistants, and agents direct access to trusted data, workflows, and calculations.

New Capabilities

The latest capabilities include:

• Ask Alteryx: With this release, Ask Alteryx evolves from an embedded assistant into the primary way users interact with Alteryx One, guiding new users step-by-step through their first workflow in Designer and giving everyone a natural-language front door to their data through Ask Alteryx for Live Query, with connections to Snowflake, Big Query, and Databricks for reading and writing data directly. Ask Alteryx checks existing workflows and data first, delivering a governed answer when one exists or building a new workflow when it doesn’t, with every output remaining inspectable, editable, reusable, and schedulable within Alteryx One.
• Agent Studio: Enables business users to turn existing, already-governed datasets into conversational agents without rebuilding anything. Analytics teams maintain full control over which datasets and KPIs power agent responses, while finance and operations departments can instantly scope an agent to their reconciliation dataset or KPI dashboard data, so stakeholders can ask trend, root-cause, and variance questions in plain language and get governed, explainable answers back.
• Alteryx Insights for OpenAI: Available through the ChatGPT Plugin Directory, this capability allows business users to generate answers based on analyst-approved data, calculations, and workflows. Employees can investigate revenue variances or resolve reconciliation issues directly, accessing trusted business logic without opening the platform or requiring an Alteryx seat. Alteryx will be expanding this surface integration strategy to bring governed logic to where teams already collaborate, including upcoming support for Claude, Gemini, Slack, and Microsoft Teams.
• Alteryx MCP Server: The governed way to use Alteryx from whatever AI platform or agent you already work in. It lets AI agents interact with Alteryx as easily as a human would, finding the right data, building multi-step solutions, and turning them into governed, repeatable workflows. Agents can build, run, schedule, and discover Alteryx assets directly, with external AI requests inheriting Alteryx’s authentication, workspace context, role-based access controls, and permissions automatically, so every interaction carries the same security model and audit trail as if a person had done it. More capabilities, including connection creation and expanded scheduling, are expected to roll out later this year on the same governed connection.
• Alteryx Skills: A GitHub install that teaches third-party agentic interfaces, OpenAI Codex, Microsoft Copilot, Claude Code, Gemini CLI, and more, how to build Alteryx assets the right way, closer to how Ask Alteryx already builds them. Rather than each tool guessing at Alteryx’s patterns on its own, Skills gives them Ask Alteryx’s own workflow-building know-how, so a financial calculation or reconciliation workflow gets built correctly the first time, without rebuilding logic or permissions separately for every tool your team uses.

Customer Impact

“With Agent Studio, we’re making decades of Beachwatch data easier for our teams to use and act on. Colleagues can ask questions in plain English and get answers grounded in governed data without having to go through the data team for every request,” said Greg Wannell, Data & Analytics Manager, Marine Conservation Society. “It gives us a faster way to turn our evidence into action, whether that’s informing our advocacy work or helping our teams understand the impact of policy on our coastlines.”

Alteryx provides the business logic layer for enterprise AI, connecting the AI tools and agents organizations use to the governed workflows, datasets, and analytics they already rely on. This helps organizations move beyond AI experimentation toward AI that is trusted, actionable, and built for ROI.

See How to Make AI More Accurate, Cost-Effective, and Auditable

Learn how Alteryx is extending trusted business logic to AI agents to help organizations deliver more accurate, explainable, and repeatable answers while reducing unnecessary AI costs. Join Alteryx product leaders Jason Klein, Kate Butcher, and Robert D’Arrigo on September 24 for “Stop Burning Resources on AI You Can’t Trust” to explore the latest innovations and how organizations can put AI to work with greater confidence and ROI.

ABOUT ALTERYX:

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 into 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.

Alteryx is a registered trademark of Alteryx, Inc. All other product and brand names may be trademarks or registered trademarks of their respective owners.

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SOURCE Alteryx, Inc.