Everyday AI agents offer the ability to automate routine tasks such as data management, scheduling, and customer inquiries, freeing up valuable time for more strategic tasks. In this workshop, participants learn how AI-based systems such as virtual assistants and automation software can be used to make daily work processes more efficient. By using AI agents, employees can increase productivity, reduce errors, and focus on creative and complex tasks, which improves the company's overall performance.

AI agents can automate routine tasks such as data processing, scheduling, and communication. This enables employees to focus on more value-adding tasks and increase their efficiency.

Benefits for you as a company:

• Increasing efficiency by automating repetitive tasks
• Increasing productivity and saving time for strategic tasks
• Reduce human errors by executing tasks precisely and quickly
• Improving employee satisfaction by relieving monotonous tasks
• Fostering an innovative and future-oriented work environment

1. Introduction to AI agents and their role in everyday work

• What are AI agents and how do they differ from classic automation solutions?
• The different types of AI agents: chatbots, virtual assistants and self-learning systems
• Benefits of implementing AI agents in everyday work: efficiency, saving time, and improving work quality
• Realistic expectations: What AI agents can do and where they have their limits

2. Automate routine tasks by AI agents

• Identification of routine tasks that can be automated by AI (e.g. emails, scheduling, data processing)
• How AI agents perform recurring tasks on a daily basis: From simple document storage to complex data analysis
• Practical examples: automating customer inquiries, lead generation, and personalized communication
• Practical use: How to use AI agents for simple administrative tasks such as creating reports and managing calendar entries

3. Efficient use of virtual assistants (e.g. ChatGPT, Alexa for Business)

• How virtual assistants help to optimize work processes and improve communication
• Integration of virtual assistants with common tools such as Microsoft 365, Slack, or Google Workspace
• Virtual Assistant Features: Email Management, Meeting Preparation, Task Management, and Information Gathering
• Practical exercises: Setting up and using a virtual assistant to optimize business processes

4. Automating email and communication processes with AI

• How AI agents make email communication more efficient: Automated responses, email filtering, and prioritization
• Integrate AI with customer relationship management (CRM) systems to automate communication with customers and partners
• AI-powered text prediction and intelligent response suggestions to improve communication
• Practical exercises: Implementation of AI technologies to process and organize email traffic and internal communication

5. AI agents in data analysis and processing

• How AI agents analyze, filter, and prepare large amounts of data to enable quick and accurate decisions
• Using AI to automate data extractions, data cleansing, and reporting
• Machine learning and natural language processing (NLP) for analyzing and interpreting unstructured data (e.g. texts, emails, social media posts)
• Practical exercises: Using AI to analyze business data and create automated reports and dashboards

6. Work smarter with AI-driven task and project management tools

• How AI agents support project planning and tracking: automating task distribution, status tracking, and resource management
• Integrate AI with project management software (e.g. Trello, Asana, Monday.com) for intelligent prioritization and progress monitoring
• Using AI to predict project risks and bottlenecks and optimize scheduling
• Practical examples: Automated updates and project management notifications based on AI analysis of project data

7. Intelligent document processing and management with AI

• How AI agents help organize, store, and manage documents: Automated classification and tagging of documents
• Using AI in text recognition (OCR) to automatically convert scanned or handwritten documents into digital data
• Optimizing document workflow through AI: From creating and editing to sharing documents
• Practical application: integration of AI technologies into document storage and workflow management tools

8. AI in personnel and employee administration

• How AI agents can be used in HR to manage applications, appointments and employee documents
• Automating recruiting processes through AI: screening applications, matching candidate profiles and coordinating appointments
• AI-powered analysis of employee feedback and performance data to make better HR decisions
• Practical exercises: Implementing AI to automate recruitment processes and performance management

9. Data protection and ethical aspects of using AI agents

• How companies ensure that AI agents work in compliance with data protection regulations: Compliance with GDPR and other data protection requirements
• Ethics in AI use: Fairness, transparency and avoidance of bias in automated decisions
• Handling sensitive data: How AI securely handles personal data and what protective measures are required
• Practical exercises: Verifying data protection compliance when implementing AI agents in the company

10. Future of AI Agents: Trends and Innovations

• How AI agents are evolving and what new opportunities are emerging for companies
• Using AI in advanced areas such as agent emotional intelligence and personalized user experiences
• Outlook on future developments: AI agents as integral partners in business strategies and decision-making
• Practical discussion: How companies can now set the course for the successful integration of advanced AI agents into their work processes

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