Gracias por enviar su consulta! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Gracias por enviar su reserva! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Temario del curso
Day 1 — Introduction to AI and Business Applications
Module 1 — Introduction to Artificial Intelligence
- What AI is and what it is not
- Types of AI systems
- Generative AI and Large Language Models
- AI myths vs reality
- Current business trends in AI adoption
- Opportunities and limitations of AI
Module 2 — AI in Modern Business Operations
- How companies use AI today
- AI applications in manufacturing and operations
- AI in sales and customer communication
- AI in HR and recruitment
- AI in procurement and logistics
- AI in finance and reporting
- AI for quality management and compliance
Practical Exercise
Participants test AI tools for:
- summarization,
- report generation,
- email drafting,
- workflow support,
- document analysis,
- meeting notes,
- and operational planning.
Day 2 — Practical AI Productivity and Workflow Automation
Module 3 — AI-Powered Productivity
- AI assistants for managers
- Prompt engineering for business users
- Creating effective business prompts
- Using AI for:
- reporting,
- planning,
- presentations,
- documentation,
- meeting preparation,
- decision support
Module 4 — Data Analysis and Business Insights
- Business analysis with AI
- Extracting information from documents and spreadsheets
- AI-assisted forecasting and trend analysis
- KPI monitoring and operational insights
- Working with structured and unstructured business data
Practical Workshop
Teams work on realistic business scenarios:
- production reporting,
- sales forecasting,
- supplier analysis,
- HR documentation,
- operational dashboards,
- and quality issue analysis.
Participants build practical AI-supported workflows relevant to their departments.
Day 3 — AI for Operations, Planning, and Decision-Making
Module 5 — AI in Operations Management
- AI for operational efficiency
- Workflow optimization
- Inventory and warehouse support
- Predictive maintenance concepts
- Process standardization
- AI-assisted decision-making
Module 6 — Department-Specific AI Applications
Production and Operations
- Production monitoring
- Root-cause analysis
- SOP generation
- Operational reporting
Sales and Business Development
- Lead qualification
- Proposal generation
- Customer communication
- Competitive analysis
HR
- Job descriptions
- Interview preparation
- Training plans
- Internal communications
Finance and Accounting
- Financial summaries
- Invoice/document analysis
- Compliance support
- Reporting automation
Quality Management
- Nonconformity analysis
- Documentation support
- Audit preparation
- Risk tracking
Practical Workshop
Participants design:
- one AI use case for their department,
- one automation opportunity,
- and one measurable productivity improvement initiative.
Day 4 — AI Governance, Risk, and Implementation
Module 7 — AI Governance and Compliance
- Responsible AI usage
- Data privacy and confidentiality
- Risks of generative AI
- AI governance policies
- Human oversight and validation
- Understanding the EU AI Act
- Ethical and operational considerations
Module 8 — Practical AI Implementation
- How to introduce AI inside an organization
- Identifying quick wins
- Selecting tools and processes
- Change management considerations
- Measuring ROI from AI initiatives
- Building an AI adoption roadmap
Group Exercise
Teams evaluate:
- which processes should or should not use AI,
- operational risks,
- implementation priorities,
- and internal adoption challenges.
Day 5 — Business Simulation and AI Strategy Workshop
Module 9 — AI Strategy Workshop
Participants work in teams to create:
- department AI action plans,
- implementation priorities,
- risk assessments,
- and measurable operational goals.
Final Practical Project
Teams present:
- a real AI implementation proposal,
- expected business benefits,
- operational impact,
- risks,
- and adoption strategy.
Final Discussion and Recommendations
- Next steps for AI adoption
- Internal AI champions
- Recommended tools and workflows
- Long-term AI capability development
Requerimientos
Target Audience
- Production Managers
- Strategic Planning Managers
- Sales and Business Development Leaders
- HR Managers
- Procurement and Warehouse Managers
- Innovation Leaders
- Finance and Accounting Professionals
- Quality Managers
- Operational and Administrative Managers
35 Horas
