Large Language Models Enterprise AI Integration Data Architecture Intelligent Automation AI Ethics & Governance ML Ops Digital Transformation
Cal State LA — Est. 2025 — Student Organization

Where Artificial
Intelligence
Meets
the Enterprise

The Society for AI in Enterprise Systems bridges the gap between cutting-edge AI research and real-world business applications. We build, deploy, and think deeply about intelligent systems at scale.

20+
Active Members
4
Projects per Year

Building the future of intelligent enterprise

SAIES is a student-led organization dedicated to exploring how AI technologies are reshaping modern enterprise systems — from supply chain optimization to intelligent CRM, from automated financial modeling to AI-driven product strategy.

We host workshops, speaker series, case competitions, and hands-on project labs that give members direct experience applying AI to real business problems. Whether you're a CS major building models or a business major asking the hard questions about deployment — there's a place for you here.

We partner with Fortune 500 companies, fast-growing startups, and leading research labs to ensure our members are working on problems that actually matter.

01
Learn
Deep dives into enterprise AI through workshops, reading groups, and technical bootcamps led by members and industry professionals.
02
Build
Semester-long project teams tackling real enterprise challenges — from deploying LLMs to automating complex workflows.
03
Connect
A direct pipeline to internships and full-time roles at companies leading enterprise AI adoption and transformation.
04
Debate
Critical conversations about AI governance, ethics, and the societal implications of deploying AI in large organizations.

What we actually work on

AI Strategy & Transformation
How do enterprises build AI roadmaps that generate real ROI? We study case studies from McKinsey, BCG, and leading companies navigating large-scale AI adoption.
Machine Learning Engineering
Hands-on experience with MLOps pipelines, model deployment, monitoring, and scaling — the engineering layer that makes enterprise AI real.
Natural Language Processing
Applying LLMs to enterprise data: document intelligence, knowledge retrieval, workflow automation, and customer experience design.
Data Infrastructure
The architecture beneath enterprise AI: data warehouses, feature stores, real-time pipelines, and the governance frameworks that hold it all together.

Mark your calendar

No events yet
Check back soon — events coming shortly.

The people running things

DR
Daniel Ramirez
President
Finance + Business Technology, Senior
AG
Angel Guerrero
Vice President
Finance, Senior
DG
David Gonzalez
Treasurer
Finance, Senior
LR
Lizzie Reyes
Secretary
Accounting, Senior
BT
Brian Ta
Committee Chair
Computer Information Systems + Business Administration, Junior
MW
Faculty Advisor
Dr. Ming Wang
Department Chair, Computer Information Systems
Cal State LA — College of Business and Economics

Current Initiatives

Ready to shape enterprise AI?

Drop your email and we'll send you everything you need to know about joining SAIES — meeting times, onboarding, and open project teams.