“AI can not only boost our analytic and decision-making abilities but also heighten creativity.”  – Harvard Business Review  

“In the rapidly evolving technological landscape, two forces have emerged as game-changers for businesses: Generative AI and Process Automation. While Process Automation has consistently proven its mettle in enhancing operational efficiency, Generative AI is ushering in a new era of creativity and innovation, bridging gaps we once thought insurmountable. Together, they represent a synergy poised to redefine how businesses operate, innovate, and thrive. This article, crafted by our expert team, delves into the profound implications of this alliance, offering insights into its transformative potential and guiding businesses on harnessing its unmatched power for sustained success.” 

The above introduction was written with an incredibly famous generative AI Tool… Impressive, right?  

When we hear the term generative AI, the first and maybe the only thing that comes to mind is that famous “ChatGPT” that was an ultimate innovative game changer ever since launched on Novembre 30th, 2022.  Although this generative pre-trained transformer chatbot might be one of the key players of its category and has truly taken the world by storm, it is not the sole player in this game.  

The Dawn of a New Creative and Economic Era 

Generative Artificial Intelligence or as called for simplification “GenAI” is a type of artificial intelligence that can create a wide variety of content such as images, videos, audio, text, and 3D models. This generated content/data is created following a pre trained pattern of analyzing data inputs and features with similar characteristics. GenAI can then produce personalized, highly realistic, and complex content that mimics human creativity, making it a valuable tool for any industry.  

Following a recent study conducted by Bloomberg Intelligence, GenAI will become a 1304 billion dollars market by the year 2032, following an exponential growth of 42% within the upcoming 10 years. This market had a market cap of 40 billion dollars in 2022 and that would have reached almost 67 billion dollars by the end of 2023. 

Figure 1: Expected Growth Potential of GenAI Market for the Upcoming 10 Years (source: Bloomberg Intelligence) 

On another note, and in the ever-evolving landscape of business, process automation has emerged as a transformative force, offering solutions that drive efficiency and innovation. By harnessing the power of modern technology to handle repetitive tasks and streamline complex workflows, companies are not only saving time and reducing operational costs but are also ensuring unparalleled consistency and accuracy.  

Now that we saw some potentials of GenAI and process automation, let us dive deeper in this article to explore the added benefit of merging GenAI with Process automation and how TNP can help you grasp the opportunity of using this combined duo to leverage their advantages and to help you grow your business and ameliorate your operational efficiency.  

How Generative IA Impacts Automation Projects  

GenAI has become a prominent feature in the modern technological landscape, greatly enhancing operational efficiency within organizations with its unique capabilities in generating content and proposing innovative solutions. 

When paired with process automation, GenAI can drive a significant digital transformation for companies. These two technologies, though distinct, complement each other on so many levels in a remarkable way. 

Process automation aims to maximize efficiency by swiftly addressing client requests, minimizing human errors, enhancing service availability, delivering a tailored client experience, and fostering harmonious internal collaboration. In this arena, GenAI acts as an optimization catalyst, amplifying the benefits already garnered by automation alone. 

One of the most notable contributions of GenAI is its ability to streamline process design. It meticulously examines various workflows to develop optimized processes and generates user-friendly interfaces that cater directly to user needs. When it comes to development, GenAI can also produce scripts, templates, and even code, making the integration with other systems seamless and maintenance more straightforward. 

Moreover, GenAI plays a pivotal role in enhancing the quality of automated processes. It can generate test scenarios, enabling the execution of automated tests, thus ensuring impeccable quality. Furthermore, this technology anticipates maintenance needs, reducing potential downtimes by proactively identifying issues and adapting its solutions based on new incoming data. 

In the realm of reporting, GenAI provides a precise view of process performance through the creation of detailed, tailored reports and ensuring continuous monitoring of operational efficiency and many more. So let us look at some examples from different sectors!  

Some Use Cases Examples 

Process automation boosted by generative AI can be integrated in any sector to boost and enhance its operational efficiency.  

Insurance and Banking: Customization and Efficiency 

Some use cases can be identified in the Insurance sector to help in the automatic creation of personalized insurance policies or even evaluating and proposing reimbursement rules and acting upon them. It can be used in the Banking sector to facilitate account creation and management, not to mention personalized suggestions across different banking and finance domains.  

Healthcare and Public Sector: Precision and Time Saving 

GenAI-powered process automation can also be integrated in the Healthcare and Public sector, although always being extra careful within this sector, we will be able to use this combo safely to facilitate the creation of previously exhaustive entrance and exit patient reports giving the healthcare professionals more time to work on what really matters: the health and safety of their patients. It can also suggest personalized and unique treatment options without paying a fortune for it!  

Manufacturing: A Complete Lifecycle Transformation 

In the Industrial sector, well here it can reveal its power: we can use it in the whole life cycle of a product starting from conception to production, manufacturing, for marketing, advertising, recycling, and supply chain management. It can also help in making sustainable choices and can suggest preventive and reactive maintenance decisions.  

Software development: towards smarter, more automated programming 

Last but never least, we believe this power couple will heavily benefit its own domain. This combo already started generating codes and auto fixing bugs within codes. It can also be used to generate automated natural language alerts with descriptions to facilitate fixes. It can also be used to ameliorate the testing segment and by that making coding and development as efficient as possible. 

Security And Communications: Cross-Functional Assets 

To top it all off, GenAI stands out for its expertise in fraud detection and instantaneous translation, adding a universal layer of security and communication to all sectors. 

A Revolution Underway 

Process automation combined with Generative AI is starting to reshape the way businesses operate and innovate. This technological pairing not only enhances operational efficiency but also fosters the creation of cutting-edge solutions addressing current market challenges. 

At TNP we strive to build high value-driven use cases thanks to our proficiency in Process Automation and our big ambitions to develop expertise in Generative AI. We make sure that the uses cases developed have short delivery cycles yet maintain the same high value to complexity ratio. 

Although it looks like rainbows and butterflies, we are aware of some potential red flags that we might face against such cutting-edge technology:  

• Putting data at risk; the black box effect.  
• Generating use cases too complex compared to their added value “GenAI for the sake of using genAI” 
• Complexity of GenAI governance due to its interaction with many solutions beyond process automations’ (CRM, ITSM, ERPs…)  

Beyond the concerns mentioned, the strategy for quality scaling is based on five major cornerstones, highlighted during our latest conference ‘The Stories of Tomorrow’: 

• Ensure regulatory compliance. 
• Evaluate a real and tangible contribution to value (business case)  
• Measure human impact and support organizations in adoption. 
• Guarantee an urbanized tooling strategy. 
• A high-quality data foundation for high-value-added AI. 

By integrating these five pillars into the approach we adopt with our clients, we are confident in their ability to achieve a digital transformation that is innovative, responsible, and sustainable.