AI agents are only as reliable as the data and logic behind them. Alteryx One brings agentic AI into existing analytics workflows with governed business logic. Analysts use AI to create reusable, governed workflows that safely scale business logic agentic solutions across copilots, AI agents, and enterprise AI applications. Business users get consistent, accurate answers infused with the business logic that makes AI answers relevant to the way their organization works.
Agentic analytics connects data, analytics, and AI into a single, scalable experience. Data is transformed into governed analytics first, giving AI agents business-ready context instead of asking them to interpret raw enterprise data.
Agentic analytics is most valuable when it works with the AI-ready data your business already trusts. Alteryx One connects to cloud data platforms, enterprise applications, databases, and files, allowing AI agents to access governed workflows without moving data or recreating business logic.
Connect AI agents to Snowflake, Databricks, Google BigQuery, AWS Redshift, Microsoft Fabric, and more through governed analytics.
Incorporate data from SAP, Salesforce, ServiceNow, Oracle, Workday, and hundreds of enterprise systems.
Blend data from SQL databases, spreadsheets, data lakes, cloud storage, and on-premises data sources.
With agentic analytics, teams can streamline operations, automate analysis, and deliver trusted insights faster. AI agents work autonomously from governed analytics to investigate, explain, and support decisions with greater consistency, agility, and confidence.
Bring an agentic analytics experience into existing enterprise platforms. Ask questions of your data within common applications like Slack, Microsoft Teams, Gemini, ChatGPT, and more. Alteryx delivers accurate answers and insights that are grounded in business logic.
Build and share AI agents that follow the same governance and logic across your organization.
Trade expensive LLM inferences for lower-cost deterministic logic in Alteryx.
Extend trusted workflows and business logic across AI agents, copilots, and enterprise AI applications from one governed foundation.
AI scales more reliably when every system starts from the same trusted foundation.
Alteryx One is built to meet enterprise requirements for security, governance, compliance, and transparency. Organizations rely on the platform to run analytics at scale while maintaining control, compliance, and auditability.
When agentic analytics becomes part of daily work, teams move faster and take on more strategic work, while IT maintains governance.
The result: faster decisions, more consistent outcomes, and measurable business value.
Agentic analytics extends Alteryx One’s governed capabilities to AI agents, copilots, and enterprise AI apps.
It runs on your existing data foundation, becoming the trusted engine behind every AI-powered decision.
Agentic analytics reduces AI costs by ensuring AI agents work from governed analytics instead of sending unnecessary data to large language models. Alteryx filters, prepares, aggregates, and reuses data before AI is invoked, reducing token consumption while helping organizations deliver faster, more consistent, and more cost-effective AI experiences.
AI chatbots answer questions using prompts and available data. Agentic analytics grounds AI in governed business logic, trusted analytics, and reusable workflows, so responses remain consistent, explainable, and aligned with how your business operates. The result is AI that supports decisions with enterprise governance built in.
Yes. Alteryx One supports enterprise-approved AI models and bring-your-own-model (BYOM) strategies, allowing organizations to use their preferred LLMs while maintaining governed analytics, centralized oversight, and trusted business context. Teams can adopt new AI models without rebuilding workflows or business logic.
Business users get trusted answers where they already work with AI. Analysts create governed analytics and AI agents that can be reused across the business. IT maintains centralized governance, security, and auditability, while AI teams extend trusted business logic to enterprise AI systems without duplicating analytics or workflows.
