AI Bootcamp

AI BOOTCAMP consists of four main phases, each designed to ensure a structured and effective course of action:

1. Pre-Assessment

The AI Bootcamp kicks off with an analysis and discussion phase aimed at gaining an in-depth understanding of the client's needs, challenges and business processes. The goal is to create a solid foundation for the integration of Artificial Intelligence within the organization, identifying the areas of greatest impact and defining a concrete and measurable path.

This phase, which will require the commitment for some key figures, of a day, includes:

• Stakeholder interviews to gather insights into key needs and opportunities for improvement.
• Analysis of possible applications of AI in business processes, evaluating concrete implementation scenarios.
• Collection of data and information needed to prepare the specific use cases for the training and interactive workshop.
• Definition of specific objectives and KPIs who will guide the subsequent phases of the workshop, ensuring a results-oriented approach.

2. Training on artificial intelligence and its tools.

This initial phase provides participants with the theoretical and practical skills needed to understand and use AI technologies. The main topics covered include:

• Introduction to AI and AI Agents: evolution, current functionality, and future potential.
• Corporate Use Cases: analysis of concrete case studies of AI application in various business sectors and functions (e.g., process optimization, customer experience improvement, predictive analytics).
• Tools & Techniques:
  • Prompt Engineering for data analysis, content generation and automation of repetitive tasks.
  • Using the OpenAI API and creating custom GPT models.
  • Integration with enterprise software and CRM.
• AI agents: introduction to use, use case and concrete implementations
• Ethical Principles and Cyber Security: data privacy, regulatory compliance, and ethical considerations in the use of AI.

3. Interactive Workshop: Identifying Opportunities

In this phase, participants are guided through a collaborative activity aimed at identifying business areas where AI can generate real value. The workshop includes:

• Business process mapping: Identification of critical areas and key challenges.
  • Identification of the possible impacts of AI.: Through the Business Model Canvas, participants explore AI application scenarios based on: Customer Profiles e Value Propositions (AI solutions to improve processes and services).
• Defining KPIs: Selection of performance indicators to measure the value generated by AI implementation.

4. Follow up: detailed and customized operational roadmap

The last phase of the AI BOOTCAMP track is action-oriented. Based on the evaluations that emerged in the first phase of the workshop, an implementable output is created with:

• Report priority use case: selection of the most promising business case for concrete experimentation.
• Defining a detailed operational roadmap With the implementation plan that includes the ROI framework, goals, resources, and timeline