Course Title: Using AI to Increase Administrative Efficiency
Course Description: This course will introduce participants to common AI and machine learning technologies that can help streamline administrative tasks and increase office productivity. Participants will learn how to identify tasks that can benefit from automation as well as best practices for implementing and managing AI systems in an office environment.
Course Objectives:
Understand common AI technologies like process automation, document processing, predictive analytics and their applications in administrative work
Analyze existing workflows to identify tasks that can benefit from automation
Plan and implement AI systems to increase efficiency and productivity
Manage AI projects effectively including change management, user adoption and ongoing system maintenance
Module 1: Introduction to AI for Administrators
What is AI and how can it help streamline administrative tasks
Common administrative tasks that lend themselves to AI like data entry, scheduling, correspondence processing etc.
Best practices for identifying tasks for automation
Module 2: Process Automation
Using Robotic Process Automation (RPA) for repetitive tasks like form filling, data entry, bookkeeping etc.
Implementing workflow automation using tools like UiPath, Automation Anywhere etc.
Designing automated workflows and exception handling
Module 3: Document Processing
Using computer vision and NLP for processing documents, email and contracts
Extracting and structuring data from scanned documents, invoices etc.
Automating document review, data extraction and record keeping
Module 4: Predictive Analytics
Using machine learning for predictive maintenance, forecasting and scheduling
Applying predictive models to areas like inventory management, customer service etc.
Model development, tuning and ongoing improvement
Module 5: Implementation Best Practices
User adoption, change management and training
Governance, monitoring and ongoing system management
Integration with existing systems and workflows
Strategy for gradual expansion of automated processes
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