The Digital Workplace has long ceased to be just a support discipline and is an essential pillar for the employee experience and the success of companies.
In a scenario where retaining talent and maintaining corporate engagement are constant challenges, organizations need to reconsider the Digital Workplace as the maintenance of an integrated ecosystem, where technology, organizational culture, and well-being integrate naturally.
Think of an experienced clinician: he cannot prescribe treatments by evaluating only isolated symptoms, but by analyzing the patient as a whole and, at the same time, in a personalized way, habits, history and lifestyle. Likewise, the Stefanini Digital Workplace works through a holistic view of the corporate environment, identifying patterns, anticipating needs and solutions (prediction and proactive action), in addition to revealing opportunities to improve the employee's journey. Supported by the exploration of what exists at the forefront of artificial intelligence (AI), it is possible to detect bottlenecks, predict difficulties, and quickly offer solutions before they become problems, creating a more fluid, productive work environment, aligned with the needs of the team and expectations of the corporation.
Digital Workplace support solutions supported by AI solutions must be developed on a case-by-case basis, according to the customer's profile. In fact, they provide an effective remedy for the main pains and challenges encountered in the Digital Workplace: solving demand plateaus without seasonal team increase, assertive interpretation of needs, building quick responses contextualized in the business, automating processes and end-to-end digital solutions, in addition to empowering employees, preparing them for new technologies and future cultural changes.
Professionals who are more autonomous, engaged, empowered, and who make use of a performant IT environment are naturally more productive and more fulfilled in their daily activities. A design that supports an excellent Digital Workplace that manages to land this concept not only achieves high levels of quality of service provided but also retains talent, fosters high-performance teams, concentrates efforts and focus on the business, creates an atmosphere of trust and transparency with the IT area.
Choosing a good Digital Workplace support service provider is like having an experienced family doctor. Instead of acting reactively, the alliance with an experienced, innovative, and people- and business-focused partner anticipates challenges, adjusts routes before negative impacts occur, supports sustainable growth, and shields the health of your corporation's IT.
Marcelo Maluf
Digital Workplace Subject Matter Expert

Stefanini Group recognized as a leader in Digital Workplace solutions in the ISG Provider Lens™ Future of Work Services 2024 report

Brazilian multinational stands out in managed technology services for the end user
The Stefanini Group, a global technology company specializing in digital solutions and present in 41 countries in the Americas, Europe, Australia and Asia, has just been recognized by ISG as a leader in its ISG Provider Lens™ Future of Work Services 2024 report.
The company is a leader in continuous productivity services and technology managed services for end users (local experts category).
The report assesses the capabilities of providers in delivering key services of the future of work in different regions and recognizes leaders for their comprehensive offerings, strong market presence and competitive position. The report also evaluates leadership based on innovation, market stability and strategic positioning to win business in the markets analyzed by the study.
For more than three decades, Stefanini has been evolving its Digital Workplace solutions to anticipate trends and respond to the demands of a changing market. This recognition by ISG confirms the dedication to innovate, drive the future of work, and generate real results for clients.

AI Maturity: Know the Levels and Impact on Business Success

More and more people and companies realize the presence of Artificial Intelligence in the lives of all of us.
It can be used for the most different purposes, including within organizations. Its use from the most basic to the most complex defines AI maturity levels.
After all, this technology has a number of applications, and companies can explore the different levels of maturity according to the actions they want to take and the results they intend to achieve.
"AI conqueror" companies are already able to exploit Artificial Intelligence intensively for a range of strategies. This guarantees a great competitive advantage in the market, and your business cannot be left behind.
It is essential to know these maturity levels to implement artificial intelligence solutions that ensure a stronger market presence.
The five levels of AI maturity
The content suggestion on streaming platforms and social networks is based on artificial intelligence. But it can also be used to obtain complex diagnoses through automated analysis of health exams. At the same time, it is capable of performing predictive market analysis in order to assist companies in directing investments and making decisions. As you can see, we have the possibility of applying artificial intelligence in many ways; from the simplest use to the resolution of very complex problems.
This happens because of the different levels of AI maturity.

Below, we talk about the five for you to get to know each of them better.
Basic
At this first level, Artificial Intelligence is used as a process of separating and integrating data, usually coming from different sources, such as CRM, email, social networks, and documents. They are stored without a very complex organization strategy or so much planning.
They can be categorized, and the basic Artificial Intelligence solution collects data in a structured and organized way for simple applications, such as optimizing the relationship with customers with a specific profile through a targeted strategy.
Descriptive
At this degree of maturity, Artificial Intelligence processes data based on pre-defined rules that have already been implemented in AI to ensure its correct programming.
In other words, at this level, the solution is able to organize the data, providing a history that speeds up decision-making, including in real time, analyzing and cross-referencing existing data in a database. It is present, for example, in credit analysis in financial institutions.
Predictive
At this level of maturity, AI already has the ability to perform analyses that allow it to predict what may happen in a future scenario. For this, a large volume of data is used to help make this prediction.
Artificial Intelligence can make analyses and comparisons in order to understand, for example, that a certain solution, a product or service has the potential to become a trend and fall into the consumer's taste.
Thus, the company can decide whether or not to invest in these solutions, or even technologies and methods, which tend to be successful. At the degree of predictive AI maturity, Artificial Intelligence is able to provide probabilities, risk analysis, statistics, and opportunities.
Statute of limitations
At the previous AI maturity level, we have the analysis of a certain solution or aspect that helps to make the decision to make or not make new investments. At this fourth level we have an evolution that goes much further.
This is because when the company uses a prescriptive model of artificial intelligence, it has access to different paths, as well as the possible variables of the results. The algorithm performs analyses that allow it to understand the company's history to present it with future recommendations, so that it is possible to achieve the established goals.
A prescriptive analysis is much more complete and provides insights into how you can make products or services available that appeal to consumers to maintain their loyalty to the brand.
With prescriptive algorithms, you can also find real-time analysis, strategy optimization, decision support, and strategic forecasting.
Cognitive
Here we have the last level of AI maturity, where solutions can surpass human abilities in certain cases. Using machine learning, Artificial Intelligence is able to deduce possible situations within the company and deliver predictability about possible problems.
This is because AI begins to learn constantly from everything that is integrated into it, for example, equipment. Thus, it can identify patterns that many times, human beings would not be able to see in a short time.
Artificial intelligence can learn about a certain piece of equipment to notify the user about when that machine will need maintenance, since the tendency is to start presenting failures and errors after a certain point.
The advantages of leading AI organizations
Have you been able to notice how throughout the AI maturity levels the processes that this technology carries out become increasingly complex? That's why companies that conquer AI gain significant competitive advantages.
These organizations were able to implement this technology in several of their processes. With this, they achieve more significant strategic intelligence, which helps guide their decisions, investments, and solutions that will be launched on the market.
Throughout all their processes and workflows, leading AI organizations utilize this technology to optimize their tasks and activities. They explore the functionalities of Artificial Intelligence from its most basic aspects to the cognitive. Thus, they develop differentials that make them stay ahead of their competitors.
This happens, for example:
in the best quality of service;
in targeted marketing;
in solutions that meet exactly what the consumer needs;
in the way they relate to their audience;
in the strategic direction of investments;
in the development of new solutions;
market analysis and forecasts that allow a quick response in different scenarios; and so on.
These companies know how to use AI maturity levels to adapt, optimize their own processes, favor workflow, add value to their solutions, and have a very skillful response time, which allows them to adapt all of this according to market direction.
How to Achieve Competitiveness with AI
Your business can also achieve more competitiveness with Artificial Intelligence. For this, it is important to start the digital transformation process so that technology is present in the organization's routines and processes.
The adoption of automation strategies is indispensable to work with data and start the implementation of AI in business. The anticipation and personalization of technology are also indispensable, since it needs to be adapted to the demands of your company to satisfy its reality.
Business success is also achieved with Artificial Intelligence through the implementation of solutions suitable for different levels of maturity. That is, you need to start with the implementation of basic tools to correctly collect and store data in a strategic, organized, and intelligent way.
This will start with a solid database to expand AI maturity levels to reach the cognitive, so that this technology helps your company improve itself and its solutions.
It will have more productivity, efficiency, quality and will also add value to the solutions it makes available to the consumer. In addition to being more agile and having a satisfactory response time to meet the demands that arise and become more competitive in the market.
The Stefanini Group has the ideal solutions for you to explore the different levels of AI maturity in your company. Contact our team to learn about the available solutions.

Empowering Luxury Retailers to Create Personalized Experiences with AI

Understanding the customer
A renowned luxury jewelry retailer that offers a wide range of high-quality luxury products, including jewelry, watches, home goods, and accessories. As a global leader in the luxury goods market, the company has built a loyal customer base, being a symbol of elegance and luxury around the world.
Context and challenge
When technical difficulties occur in a luxury retail store, the financial impact can be substantial. After all, luxury goods aren't cheap and struggling to address a customer's concern efficiently and effectively can mean the difference between completing a sale or losing the customer. With a high-level leadership change, the client recognized the need for a faster and more reliable process, seeking to improve customer experiences and further emphasize innovation and growth
Solution
AI enables luxury retailers to create personalized, convenient, and immersive experiences for customers. To empower retail employees with the skills and information needed to deliver these experiences, Stefanini's multidisciplinary team designed a solution to optimize technical support and predict customer behavior, with an adaptive user portal and an omnichannel virtual assistant that acts as a personal assistant for all employees.
Results
Increasing Efficiency in the Retail Workforce
Increased personalization in customer experiences
84% positive feedback through customer satisfaction surveys
9% reduction in help desk tickets due to increased accessibility to resources and information