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

Requirements

  • Basic understanding of AI concepts
  • Familiarity with business workflows and processes
  • Experience with programming or RPA tools

Audience

  • Business analysts
  • RPA developers
  • AI professionals
 14 Hours

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Price per participant

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