Finance Without Limits: Alteryx’s Blueprint for AI-Ready Transformation
Manual processes and siloed tools slow finance teams down, making it harder to deliver timely insights. But by transforming everyday workflows with automation and AI, finance leaders can unlock efficiency, scalability, and control.
Watch this webinar with Alteryx to see how our own Office of Finance built an AI-ready foundation by reimagining core processes. Discover how teams moved from manual tasks to governed analytics, setting the stage for trusted, enterprise-wide AI.
You’ll learn how to:
Automate Critical Processes: See how month-end close activities were streamlined and accelerated
Scale Predictive Forecasting: Explore how FP&A teams built more accurate, forward-looking models
Integrate Seamlessly: Learn how Alteryx works with tools like Anaplan to enhance decision-making
Empower Users, Ensure Oversight: Balance self-service for business teams with IT governance
Build for the Future: Understand how the AI Data Clearinghouse bridges trusted data and LLMs
Walk away with a real-world blueprint for operationalizing AI in finance—whether you’re just starting your automation journey or ready to scale enterprise adoption.
Our Speakers
Stephen Liu
VP FP&A, Alteryx
Michael Dale
VP Accounting Operations, Alteryx
Eric Dacaney
Sr. Director, Finance Systems, Alteryx
Recommended Resources
White Paper
Data Cleansing Tool
As you explore Alteryx during your trial, the Data Cleansing Tool can help you experience the speed and simplicity of automated data preparation.
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.
Tax teams replace spreadsheet-heavy depreciation work with governed, AI-supported automation that improves accuracy, speeds close cycles, and strengthens planning confidence.
Accelerating data utilization for financial crime prevention with Alteryx at MUFG
MUFG Bank’s Global Financial Crimes Division used Alteryx to upskill employees, automate data processes, and accelerate analytics-driven decision-making in financial crime prevention.
