AI is reshaping both scientific innovation and business operations in life sciences
KPMG's extensive research into AI use across eight industries, finds that unlike sectors still experimenting or struggling to scale the tech, life sciences organizations have embedded AI deeply into their operations — from R&D and clinical trials to supply chains and commercial functions. For many, AI is not just a tool, but a core part of how they work.
The challenge is no longer whether AI can deliver value, but how companies can reshape their organizations to fully realize its potential. The Intelligent life sciences report explores how leading life sciences firms are making this transition — adapting their operating models, breaking down silos, and fostering AI-driven agility. This report also offers actionable insights into how organizations can take a value-based approach to AI that helps to accelerate innovation, unlock new growth opportunities, and maximize the impact of their AI investments.
At-a-glance insights:
Operating model adaptability key to driving AI-enabled value creation
The KPMG research finds that organizations who use a combination of functional and agile models are twice as likely to achieve high ROI compared to those with traditional functional or matrix-based structures.
How can life sciences companies help to ensure that AI serves as a catalyst for meaningful transformation?
In addition to providing robust research, the Intelligent life sciences report also shares actionable insights into how organizations can take a value-based approach to AI that helps them to accelerate innovation, unlock new growth opportunities, and maximize the impact of their AI investments.
Through this report, we introduce the three phases of AI value — A framework that can help life sciences organizations to enable their teams, embed AI into workflows, and evolve their organizations into AI-powered, ecosystem-driven enterprises. Click on each of the phases below to find out more.
Enable
The Enable phase builds AI foundations. Organizations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customization.
Our executive summary provides a cross-sector view of how organizations are navigating the opportunities and challenges of implementing AI. Download the executive summary to see the blueprint for intelligent industries to help you become an AI-powered, customer-centric organization ready to thrive in the intelligent economy.
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