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Generate Actionable Insights Using Self-Service Analytic Workflows in Alteryx One

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  • Turn enterprise data and operational knowledge into workflows that produce trusted insights.
  • Build governed workflows in natural language with your preferred AI tools
  • Build, edit or inspect workflows visually in Designer
 
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How self-service analytic workflows fit into everyday analytics work

Analysts generate actionable insights by building self-service analytic workflows using their preferred method: natural language in Ask Alteryx, a prompt in their preferred AI platform, or hands-on building in Designer. Every workflow is reusable, inspectable, and ready to scale.

 

How it works across data, analytics, and AI

Self-service workflows turn raw enterprise data into governed analytic workflows that create insights and drive decisions.

 
Alteryx Insights Agent

Build with your preferred tools

  • Alteryx Skills let users build, inspect, and repair workflows directly from Claude Code, Gemini CLI, and Codex
  • Ask Alteryx builds new workflows in natural language inside Alteryx One
  • Designer provides a visual, drag-and-drop experience for hands-on building
  • Agent Studio turns workflows into governed AI agents
 
Designer Workflow scr

Build with AI. Verify with Designer.

  • Visually inspect any AI-generated workflow with Designer
  • Trace AI answers to the workflow, data and logic behind it
  • Maintain full visibility over workflows generated in AI chats
  • Inspect, edit, and schedule workflows centrally inside Alteryx One
 

Connect to the enterprise data you already rely on

Self-service workflows are only as good as the data behind them. Alteryx One connects to the cloud platforms, applications, and files builders already use, so every workflow draws on governed, AI-ready data without moving it or recreating access from scratch.

 

Cloud data platforms

Connect AI agents to Snowflake, Databricks, Google BigQuery, AWS Redshift, Microsoft Fabric, and more through governed analytics.

Enterprise applications

Incorporate data from SAP, Salesforce, ServiceNow, Oracle, Workday, and hundreds of enterprise systems.

Databases and files

Blend data from SQL databases, spreadsheets, data lakes, cloud storage, and on-premises data sources.

 
 

What teams can do once self-service analytic workflows are in place

Building no longer depends on a single tool or skill set. Analysts, developers, and business users all build in their preferred experience.

 
 

Turn a plain-language question into a governed workflow

Ask a question in natural language to build a new workflow.

  • Build new workflows without starting from a blank canvas
  • Every output is inspectable and editable in Alteryx One
  • Reduce dependency on analytic teams to build workflows
 
 

Extend building into Claude Code, Gemini CLI, and Codex

Alteryx MCP Server and Alteryx Skills bring workflow building and data interaction to your preferred AI tools.

  • Build and inspect workflows directly from Claude Code, Gemini CLI, or Codex
  • Discover existing workflows and datasets directly inside 3rd-party AI tools
  • Maintain the same governance and permissions inside and outside of Alteryx
 
 

Stay hands-on with visual workflow creation

Designer remains the visual home for builders who prefer traditional drag-and-drop workflow construction.

  • Build and edit workflows in a no-code visual experience
  • Inspect the logic and data behind any workflow
  • Troubleshoot and refine without rebuilding from scratch
 

Why enterprises trust Alteryx One

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.

  • Validated enterprise-grade security and governance (SOC 2, ISO)
  • Trusted by organizations in regulated industries
  • Built to enable customers to comply with the EU AI Act and other regulatory requirements (CCPA, GDPR. etc.)
  • Transparent, auditable workflows with built-in data lineage
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What changes when self-service analytic workflows are built into daily operations

Analysts build in natural language, developers build inside their preferred AI tools, and both groups build visually in Designer when they need full control. All workflows are governable and auditable no matter where they were built.

  • Build a workflow the moment a question comes up
  • Extend Alteryx workflows into Claude Code, Gemini CLI, or Codex
  • Inspect and validate any workflow before it ships
 
AI workflows

How self-service analytic workflows work with the rest of Alteryx One

Self-service analytic workflows are the governed foundation Alteryx One runs on.

  • Turn any self-built workflow into a governed conversational agent in Agent Studio
  • Expose approved workflows to external AI systems through the Alteryx MCP Server
  • Keep every workflow under the same permissions, lineage, and audit trail as the rest of the platform
  • Automate end-to-end business processes with scheduling and orchestration
 

Learn more and explore related capabilities

 
 

Conversational Analytics

Bring governed, explainable answers to business users, wherever they’re already asking questions.

Explore Conversational Analytics
 
 

Generative AI

Use natural language to summarize analytic results, explain changes, and support faster understanding without manual interpretation.

Explore Generative AI
 
 

Agentic Analytics

Build and scale agentic AI to deliver trusted answers and actions across your organization.

Explore Agentic Analytics
 

Explore real-world use cases

 
 

Demand Forecasting

Empower finance teams to predict demand shifts faster and more accurately with explainable AI, automated workflows, and unified data across ERP, CRM, and planning systems.

View Use Case
 
 

Automation of Management Reporting

Replace manual reporting cycles with automated, repeatable outputs that keep leaders aligned on performance as data refreshes — without rework or ad hoc explanation.

View Use Case
 
 

Customer Segmentation

Create and maintain clear, consistent customer groupings that help teams understand changing behavior and act on analytic results without rebuilding logic or reports.

View Use Case
 

Frequently asked questions

 
How is building with Ask Alteryx different from building in Designer?

Both produce the same governed, inspectable output. Ask Alteryx builds from natural language; Designer gives you full visual, drag-and-drop control over every step. Use whichever fits the moment — many builders use both. Ask Alteryx is an excellent solution for building workflows, explaining workflows, working through complicated steps, and learning how to use Alteryx tools.

 
Can I build Alteryx workflows from outside Alteryx One?

Yes. Alteryx MCP Server and Alteryx Skills let developers and technical analysts build and inspect workflows directly from Claude Code, Gemini CLI, and Codex, using the same governed foundation as workflows built inside Alteryx One.

 
Can I verify a workflow that AI built for me?

Yes. Every workflow, regardless of how it was built, opens in Designer, where you can inspect its logic, trace its data lineage, and edit or extend it before you trust or share it.

 
Who is self-service building for?

Analysts and business users who want to build in natural language, developers and technical analysts who want to build from their own AI tools, and anyone who wants hands-on, visual control in Designer. All three paths produce workflows the rest of the business can trust and reuse.