◆ 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.

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2
Industry Partners
NVIDIA DLI & SAP
5+
Deployed Projects
20+
Active Members
// About Us

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.
// Focus Areas

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.
// Upcoming Events

Mark your calendar

// Leadership

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
// Projects

Current Initiatives

VERSION: 1.0
Systems Analysis // AI Lab
Systems Analysis Diagram Maker

Describe any system in plain English and instantly generate a use-case, activity, class, or entity-relationship diagram — powered by AI.

Launch Project —>
VERSION: 1.0
Finance // AI Lab
Corporate Valuation Intelligence

AI-assisted corporate valuation platform performing peer comparison, discounted cash-flow modeling, and risk analysis on companies such as NVIDIA and T1 Energy.

Launch Project —>
VERSION: 1.0
Finance // AI Lab
TechFlow Analytics Dashboard

B2B order-to-cash analytics dashboard for TechFlow Industries, featuring customer payment risk scoring, product margin analysis, and an AI analyst powered by Gemini.

Launch Project —>
VERSION: 2.0
Finance // AI Lab
TechFlow NexCore Analytics Terminal

Refined B2B order-to-cash analytics terminal. Features a robust viewport layout, forensic audit flagging, and a stable, scroll-locked AI Analyst interface powered by Gemini.

Launch Project —>
VERSION: 1.0
Tax // AI Lab
LedgerLens Tax Intelligence

An interactive educational guide demonstrating how to transform standard B2B sales data into actionable tax intelligence using machine learning, Python, and AR aging models.

Launch Project —>
VERSION: 1.0
Forensic // AI Lab
Audit Analytics Forensic Terminal

High-fidelity forensic audit suite for B2B enterprise data. Automates material weakness detection through Benford’s Law, Segregation of Duties (SOD) logic, and multi-vector threshold avoidance analysis.

Launch Project —>
// Membership

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.