Taking control of your company’s digital innovation pathway

Digital Technologies surround us and have become an obvious leverage for competition. Despite their increasing complexity, the time has come to take them on board for regulatory and compliance activities. We can support you in your “digital innovation journey” – from expressing your needs and identifying the most suitable technologies (AI, mining, semantics, structured content management, etc.) to implementing your solution. 

How AI global strategy design is relevant and can be implemented for you

Deciding where to start can be challenging, especially in a pre-existing organization with various processes and a specific IT/IS environment. Thanks to a design thinking approach bringing together business operations and IT/IS experts, we first identify use cases for advanced technological solutions. Second, we assess and prioritize the use cases. The main criteria include value and impact potential, feasibility, and risks (both technical and human). We finally propose a global implementation roadmap, starting with the most accessible “low-hanging fruits” use cases.  

Why you need AI solution design for success

You may already have identified the priority activities where advanced solutions/AI could bring value (efficiency, quality, robustness, research scope, etc.); to best fit your needs and objectives, we perform a market benchmark, test and assess existing tools and algorithms, and realize a “make or buy” analysis. Then, we propose several technical scenarios associated with their costs, benefits, and risk assessment to support you in selecting the best option corresponding to your strategy. This will allow you to scope your project accordingly. 

AI proof-of-concept and the advantages it can provide for your company

It is difficult to anticipate precisely the impact of integrating advanced technologies such as AI within an organization. The usual recommended approach is to test and assess progressively in real life. This allows us to refine the initial hypothesis and identify unanticipated impacts or locks. Our digital regulatory factory is equipped and used to design, develop, and assess proof-of-concepts in agile mode. We pay special attention to user workflow through a minimum viable product as the first critical success factor. Qualitative and quantitative KPIs are defined and monitored to ensure value assessment from hypothesis to real life – at least within the project duration. 

The reasons to select PLG as your digital innovation partner

A unique team – unifying consulting, business and technology 

Introducing advanced technological solutions in life Science-regulated activities necessitates a nuanced understanding of the context and associated data.  

We combine technological expertise in advanced solutions (machine learning, deep learning, natural language processing, understanding and generation, semantics AI, structured content management, roboticprocess automation, optical character recognition, data management, and structure, cloud infrastructure) with a refined understanding of the business activities, data, and challenges thanks to our 30 years of operations expertise. Coordination is made through a high-level strategy consulting approach. Ultimately, you get one multidisciplinary team with one single point of contact.  

Our digital regulatory factory also actively develops advanced solutions in our Research and Innovation Department, leveraging knowledge management and reinforcing team proximity. 

KEY FIGURES

Between 5 and 10

potential use cases we usually identify within a Life Science company willing to integrate advanced solutions.

12.9%

is the CAGR of the global life science software market growth, valued at USD 16.32 billion in 2022 and expected to reach USD 44.72 billion by 2030.

Case Study: AI use case identification and assessment

The challenges and scope of the project: 

The client had already identified two priority domains to implement AI technologies. 

Use-case identification: through a “double diamond” design thinking approach, we organized creativity workshops to identify concrete situations, processes, and activities where advanced solutions might bring value. 

Use-case assessment: we defined evaluation criteria linked to user value, feasibility, and strategic impact to perform a preliminary ranking of use cases, considering the company’s context. 

Roadmap: we articulated the different use cases based on feasibility, costs, and risks to propose a 3-5-year roadmap to implement the use cases. 

PLG provided key deliverables for the client’s decision-making 

  • Workshops minutes
  • Use-cases functional description
  • Use-case assessment results
  • Consolidated roadmap
  • Report and recommendations 

PLG’s dedicated resources to the client’s project

  • 14 company operations experts participating
  • 3 company IT experts participating  
  • 6 use cases and 1 R&D project identified 

Case Study: Solution architecture design

PLG enhanced the efficiency of the client’s existing infrastructure 

The customer had already started a project to improve the management of email exchanges with health authorities using a classical email management software module. However, they were not fully satisfied with the result of efficiency.  

We analyzed their objectives, organization, and IT environment and proposed different architectural scenarios to implement advanced natural language processing algorithms to streamline their process and KPIs. 

PLG providing the solution to improve the client’s IT system 

State-of-the-art: current solution, context and organization 

Technical architecture scenarios 

Multiple solutions to the client’s challenges 

4 architectural scenarios proposed  

Due to its many specific features, regulatory affairs is a complex world for applying artificial intelligence technologies. We are committed to finding the best ways to create new sources of value by combining these technologies in this field.

Florian Pereme

Digital Innovation Lead, ProductLife Group

Florian Pereme