Business Challenges
Aquileia Capital Services faced a dual crucial challenge arising from internal reorganization:
- Need for Human Support: It was essential to provide concrete support to employees, particularly at the Tavagnacco headquarters (with potential extension to Milan and Rome), to help them process their professional experience during a delicate time of change.
- Skills and Re-employability: The main challenge was to consolidate and renew employees’ skills, making “Reskilling” an urgent necessity. Simultaneously, it was necessary to boost their “re-employability” by acting on their professional network.
- The ultimate goal was to support individuals in redefining their professional role in a context of discontinuity.
Solution
The solution implemented by Viblio provided a structured path for learning and developing both personal and professional potential, emphasizing individual responsibility.
Innovative Educational Methodology
The project utilized an innovative, technology-enabled educational methodology aimed at creating an alliance between the company, managers, and employees to enhance engagement and employability.
The path was structured through three main approaches:
- Guided Learning: Training sessions led by trainers to guide the development and reflection of participants.
- Oriented Self-Learning: Support and encouragement for employees to independently research and delve into content functional to their own journey, enabled by the integration of Viblio.
- Collaborative Learning: Moments (both guided and informal) to socialize experiences and create opportunities for mutual learning.
Program Structure
The training program was structured into 4 meetings of 2 hours each, focusing on the following key modules:
- “Change & Emotion”
- “Business Model You & Re-skilling”
- “Networking”
- “Self Promotion”
These meetings were complemented by 4 additional “team coaching” meetings for sharing and synthesis at the end of the program.
The AI Digital Mentor (Viblio)
Viblio was the central technological element, presented as an assistant that allows users to select and access the most suitable content for their journey. Viblio was designed to offer highly personalized learning content.
Personalization is supported by a thoughtful combination of Artificial Intelligence (AI) and Machine Learning (ML) models, based on:
- Semantic Analysis: Used to query content databases and predict the impact of technologies on roles.
- Personality Trait Analysis: Evaluated via video interview and a machine learning engine (YobsTech®) for soft skill assessment and the generation of tailored playlists.
- Collaborative Filtering: Based on user choices and similarity to other users.
- Generative AI with LEO: An assistant with career coach functions that interacts in natural language, providing advice, work schemes, and practical exercises.
Thanks to these technologies, Viblio understands the individual (role, interests, personality traits) and provides a unique and custom-made experience.
“With Viblio, a phase of discontinuity was transformed into an opportunity for professional growth and development”
Results and Benefits
2,5 gg
The average use of the platform throughout the week
95%
Users who used the video interview feature
70%
…of employees adopted new skills
The project demonstrated Viblio’s effectiveness in supporting employees during a period of reorganization and in redefining their “re-employability.” Although the primary goal was the qualitative support of change and skill enhancement, specific Viblio usage metrics within the company confirmed its value and user adoption.
Specifically, the company data highlighted:
- Average Access (days/week): 2.5 days. This figure, which is 85% of the general average, indicates a constant frequency of use integrated into employees’ work routines. Such regular access is critical for continuous learning and for counteracting the common problem of lacking time for training.
- Percentage of users who completed profile personalization (including the video interview for custom suggestions): 95%. This high profile completion rate, which includes a video interview for personality trait analysis, underscores the strong employee engagement and their willingness to receive highly personalized training suggestions.
- Relevance of suggested collections reported by users: 75%. This percentage demonstrates the accuracy and effectiveness of Viblio’s recommendation system. Thanks to semantic analysis, personality trait analysis, and collaborative filtering, the system is able to select content that is pertinent and functional to each individual’s professional path.
- New skills in the search area: 70%. This data point is particularly significant in the context of “Re-skilling.” It indicates that a substantial portion of user searches focused on the acquisition of new skills, reflecting the project’s goal of strengthening “re-employability” and supporting employees in redefining their professional roles.
Conclusion
The project enabled the company to offer tangible support to its employees during a phase of discontinuity, transforming it into an opportunity for professional development and growth. The integration of Viblio made a continuous learning ecosystem possible, providing an effective and motivating experience that strengthened engagement and the employability of the workforce.
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