Course Code: aiagentsba
Duration: 14 hours
Prerequisites:
  • Basic understanding of AI concepts
  • Familiarity with business workflows and processes
  • Experience with programming or RPA tools

Audience

  • Business analysts
  • RPA developers
  • AI professionals
Overview:

AI agents are transforming the business landscape by automating repetitive tasks and enabling intelligent decision-making. This course explores the use of AI agents in automating workflows across various business domains, including customer support, finance, and supply chain management.

This instructor-led, live training (online or onsite) is aimed at intermediate-level business analysts, RPA developers, and AI professionals who wish to harness the power of AI agents for business process automation.

By the end of this training, participants will be able to:

  • Understand the role of AI agents in business process automation.
  • Identify opportunities for automation in key business domains.
  • Develop AI-driven solutions for customer support, finance, and supply chain workflows.
  • Integrate AI agents with existing RPA and business systems.
  • Evaluate and optimize AI automation strategies for efficiency.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to AI in Business Automation

  • The evolving role of AI in business
  • Overview of AI agents and their capabilities
  • Key benefits and challenges of AI-driven automation

AI for Customer Support

  • Designing AI chatbots for customer queries
  • Natural language processing (NLP) in customer interactions
  • Automating ticketing and escalation workflows

AI in Financial Processes

  • Fraud detection and anomaly tracking
  • Automating invoice processing and expense tracking
  • Using AI for predictive financial analysis

Streamlining Supply Chain Management

  • Demand forecasting with machine learning
  • Optimizing logistics and inventory management
  • AI for supplier selection and contract analysis

Integration with RPA and Business Systems

  • Combining AI agents with RPA tools
  • Integrating AI workflows with ERP and CRM systems
  • Ensuring data consistency across platforms

Optimizing and Scaling Automation

  • Evaluating the ROI of AI automation
  • Scaling AI solutions for large organizations
  • Addressing ethical and compliance considerations

Future Trends in Business Automation

  • Emerging AI technologies for automation
  • Impact of AI on workforce dynamics
  • Best practices for sustainable AI adoption

Summary and Next Steps

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