How Alteryx is driving Gen AI ROI With Logic Layers
Alteryx introduces new AI governance framework to address accuracy and cost challenges in enterprise deployments through dedicated business logic layer
TL;DR
- Enterprises are facing plateauing ROI from AI initiatives, with leaders reporting that gen AI models struggle with deterministic calculations essential for business processes.
- Alteryx's new framework, VURA (Visible, Understandable, Repeatable, and Auditable), aims to provide a dedicated business logic layer, separating it from LLMs and data warehouses.
- This approach ensures AI outputs are governed, leading to higher accuracy, reduced costs (e.g., fewer API tokens), and faster response times, as shown by Alteryx's benchmarking.
- Alteryx's MCP Server connects governed business logic to AI systems, allowing AI agents to invoke pre-approved deterministic analytics workflows.
- The concept of 'governed autonomy' suggests that while IT should manage the AI platform, business teams should own the business logic that AI systems use.