The Hellenic Federation of Enterprises (SEV) provides practical guidance on integrating artificial intelligence (AI) into business operations through a new guide, noting that Greece can leverage this technology as a driver of competitiveness and innovation in critical sectors of the economy.
According to SEV, AI can be applied to a wide range of activities, such as automating responses to after-sales requests, analyzing supplier contracts, processing maintenance data, and interpreting information from sensors.
The Guide emphasizes that greater value is derived from repetitive, low-complexity tasks, while human intervention remains essential in more complex processes, with artificial intelligence serving in a supportive role.
The “digital twin”
One of the key practices proposed by SEV is the creation of a “digital twin”—a tool that digitally replicates an existing process—to calculate in advance the benefits of implementing artificial intelligence.
For example, in customer service, the system can automatically track and analyze every request: when it was submitted, how long it remained on hold, to whom it was routed, and when it was resolved.
The “digital twin” then simulates different operational scenarios, showing how much response time can be reduced, what new problems might arise, and in which cases human intervention will be required.
AI in Recruitment
The Guide also includes examples of how artificial intelligence is applied in the field of recruitment.
As noted, digital assistants can analyze data on workload, skills, and team performance, suggesting staffing needs and automatically generating job descriptions.
At the same time, artificial intelligence can accelerate candidate evaluation by analyzing resumes, matching skills, and generating a shortlist of data-driven recommendations for hiring managers. The system can also dynamically tailor job offers and create personalized onboarding plans for new employees.
Fears about jobs
Special mention is also made of employees’ concerns regarding artificial intelligence, such as the fear of job loss, the devaluation of experience and expertise, a lack of understanding of new tools, and concerns about monitoring and decision-making by algorithms.
According to an example included in the Guide, in the customer service sector, the use of artificial intelligence could even lead to a 37% reduction in jobs.
Source: APE-MPE