Pace University AI Lab
What We Do
Through our AI automation services, we help businesses and organizations utilize AI to its fullest potential to save time, reduce costs, and improve efficiency.
01
AI Employee Onboarding
Our AI onboarding service can streamline the hiring process by automatically setting up accounts, permissions, and more for new employees.
02
AI Smart Finance
Our smart finance AI can process invoices and payments, reducing the need for manual processing of finances. It cuts down repetitive tasks and helps businesses stay on top of cash flows
03
CRM Automation
Our CRM AI can help automate customer service, marketing, and sales. Our AI can send follow-up emails and manage support tickets.
04
LendEase (banking and finance)
Our LendEase AI is made to accelerate the lending process by handling document reviews and routine tasks. Banks can approve loans faster, reduce paperwork, and improve their customers’ experience.
Frequently Asked Questions (FAQs)
01
What does the Pace University AI Lab do?
The Pace University AI Lab provides AI automation services that support research, innovation, and workflow optimization. Our team develops and applies machine learning solutions through hands-on projects and collaboration.
02
Who can collaborate with the AI Lab?
From students and faculty to industry partners interested in AI automation, anyone can use our AI Lab. Whether you’re working on a class project or a business-related research partnership, our lab provides the resources to help you reach your goals efficiently.
03
What are AI automation services?
AI automation services involve using artificial intelligence and machine learning to streamline repetitive tasks, enhance decision-making, and improve research workflows. Our lab applies these methods across education, research, and business applications.
04
What types of projects does the lab work on?
The Pace University AI Lab works on projects that apply AI automation services to real-world challenges in research, education, and business. Our work includes developing machine learning models, automating data processes, building intelligent tools, and more.