‘Generative AI’ as a tool for business productivity Generative AI: Boosting Productivity and Efficiency in Processes

‘Generative AI‘ is part of today’s technology and the business world. Its implementation is becoming a reality, as it can be a powerful allied in pursuit of productivity. The latter is reflected both for the company as a whole and for individual employees.

It will be up to the latter to demonstrate their ability to live with these changes and make the most of them. This new bionic operator concept can help improve company processes.

How Generative AI helps in process management

The search for productivity is a constant for the company. To this end, new technology trends artificial intelligence being one of them. One of the areas where the organisation can benefit most is in process management.

The tool’s ability to understand and learn about them allows you to generate an efficient response. Applying it in the business world will help us to gain a competitive advantage.

There are a number of processes where the machine will be more agile and quicker to give you feedback. Customer service, digital marketing or design are good examples of these areas of work. Another major focus is on the processing of large volumes of data and the ability to deliver concrete results in response to them. As a result, research and benchmarking processes will be more efficient, which will help in areas such as healthcare.

Using this technology as the basis for complex processes improves productivity and helps avoid human error in the same. This is a substantial improvement that benefits the company as a whole.

Areas of application of this technology

The application of Generative AI covers various fields within the company. These are some of the areas that can benefit from its presence:

• Human Resources: eliminates biases and allows a more optimal and efficient selection.
• Logistics: the ability to learn and process data has an impact on the optimisation of the warehouse, stock or delivery routes.
• Job sorting: job sorting is automated thanks to algorithms.
• Marketing: prediction and tracking helps create more targeted campaigns and provide better data on your results.
• Cybersecurity: Improve defenses by analyzing gaps and providing security recommendations.

But it is not just about areas, more specific tasks benefit from the application of AI. Customer tracking or the generation of mailings allows for a more personal and higher quality service.

ChatGPT as a productive tool

ChatGPT is one of the best known examples of Generative AI. Its use is spreading in companies thanks to the use of prompts. That is, a pre-determined command text that triggers the generation of a specific response. To this you only need to add one variable such as the product you want to sell or the type of customer you are targeting. As a result, workers can perform tasks faster and increase the quality of their work.

This collaboration between worker and AI is one of the bases with which to tackle the implementation of the latter in the company. Recent studies agree that this synergy is beneficial for all.

En concreto, el National Bureau of Economic Research realiza una investigación agregando GPT a un centro de atención al cliente. Those operators with this support tool saw their productivity increase by 14%. But one of the most curious facts was highlighted by the experience. The longest-serving agents barely benefited while new agents improved by 35%.

Another study by two MIT students focused on the working environment generated by this collaboration. Among their conclusions, they highlighted the increase in the quality of work, the satisfaction generated by its use for the worker and the new perception generated by AI.

They all agree that this tool helps eliminate processes that are tedious for the worker. Synergy saves time, increases quality and improves efficiency and employee satisfaction.

Examples of the application of AI in the business world

The arrival of AI in the business world is already a reality. There are different companies that apply it to obtain all the benefits we have mentioned. These are some examples of its implementation.

IBM

The technology giant has been one of the first to bet on artificial intelligence. Its human resources is one of those that has benefited most from this for recruitment. In addition, it is implemented in different areas for tedious processes that do not require interaction with customers.

Zaha Hadid Architects

This architectural firm uses image generation tools to create the initial designs to work on. As a result, the ideas of the client and the work team can be better agreed upon, obtaining complex results that facilitate the initial tasks.

These two examples are relevant, but not the only ones. Hospitals starting to use it for diagnostics. More efficient chatbots with the ability to learn to generate new responses or individual workers who improve their work and save time. The reality of this technology is present in our companies and it is essential to implement it in a coherent, efficient and secure manner.

Undoubtedly, Generative AI will be implemented in different departments and tasks of companies. There are already several companies that rely on this resource for various tasks and it will become increasingly common. Workers will be among the first to benefit as they will be able to increase their productivity by generating more efficient processes for the organisation. Implementing AI solutions allows you to leap ahead in an increasingly competitive market.

At Pasiona we offer specialised consultancy services and implementation of products/solutions based on Generative AI.

Because it is so emerging and disruptive within organisations, offering a new paradigm of increased employee and process productivity, we have designed a rapid consultancy service that allows us to identify with the client where this optimisation can be most beneficial in their organisation, and then develop small pilot validation projects.