Build AI Readiness with Governed Data, Agents, and Business Context

AI readiness is not just about access to models. It is about whether your organization can connect AI to trusted data, repeatable workflows, and the business context needed to produce reliable results.

That is where many AI initiatives struggle. Data quality is inconsistent. Governance is incomplete. Business rules live in too many places. And teams are left wondering how to move from isolated AI experiments to something scalable and accountable.

In this session, we’ll explore what it takes to become truly AI-ready with Alteryx. We’ll look at how repeatable workflows create trusted data products for AI consumption, how governed business logic improves reliability, and how new capabilities like the Alteryx MCP Server and Alteryx Agent Studio can help connect AI agents to certified answers, approved processes, and enterprise controls.

This is the conversation for teams that want AI to be more than impressive. They want it to be dependable.

What you’ll walk away with:

• The foundational elements of AI readiness: trusted data, governed workflows, and clear business logic
• How repeatable processes improve AI accuracy, transparency, and scale
• How Alteryx MCP Server helps connect AI agents to governed data and trusted outputs
• How Agent Studio supports more practical, controlled AI experiences across the enterprise