Accelerating Compliance and Sustainability Reporting in Life Sciences
Beyond Work
Wed Jan 22 2025
A global biopharmaceutical leader, with operations in over 100 countries and more than €35 billion in annual revenue, accelerated its sustainability reporting by applying Beyond Work’s adaptive AI platform in collaboration with Accenture. Within weeks, the organization refined document extraction, instantly adjusted processes based on human feedback, and approached 95% accuracy - ultimately saving over 20,000 hours of manual work.
A global biopharmaceutical leader, operating in over 100 countries and generating more than €35 billion in annual revenue, required an efficient approach to meet evolving sustainability reporting mandates. Working with Accenture, this organization leveraged Beyond Work’s unique workblock architecture and adaptive learning capabilities to transform an intensive, error-prone manual process into a streamlined, AI-driven workflow.
Within weeks, the platform’s modular, iterative design structured previously unharmonized documents from hundreds of suppliers, extracting critical product attributes and enabling teams to validate data more efficiently. As soon as human validators provided targeted feedback, the platform learned and adjusted instantly, refining its extraction patterns and bolstering accuracy. This iterative improvement cycle allowed the system to rapidly approach approximately 95% accuracy, drastically reducing manual effort. By the end of the three-month period, the company extracted more than 100,000 attributes, saving over 20,000 hours that would otherwise have been spent on manual data processing. Freed from repetitive tasks, compliance teams dedicated more time to analysis and strategic decision-making, resulting in a highly efficient and reliable sustainability reporting framework.
As future regulations and stakeholder expectations evolve, the platform remains ready to adapt and integrate new data points without extensive manual reconfiguration. This flexible, scalable foundation ensures that the company can continue to maintain rigorous reporting standards, efficiently incorporate new sustainability criteria, and remain responsive to the global market’s shifting demands.
Within weeks, the platform’s modular, iterative design structured previously unharmonized documents from hundreds of suppliers, extracting critical product attributes and enabling teams to validate data more efficiently. As soon as human validators provided targeted feedback, the platform learned and adjusted instantly, refining its extraction patterns and bolstering accuracy. This iterative improvement cycle allowed the system to rapidly approach approximately 95% accuracy, drastically reducing manual effort. By the end of the three-month period, the company extracted more than 100,000 attributes, saving over 20,000 hours that would otherwise have been spent on manual data processing. Freed from repetitive tasks, compliance teams dedicated more time to analysis and strategic decision-making, resulting in a highly efficient and reliable sustainability reporting framework.
As future regulations and stakeholder expectations evolve, the platform remains ready to adapt and integrate new data points without extensive manual reconfiguration. This flexible, scalable foundation ensures that the company can continue to maintain rigorous reporting standards, efficiently incorporate new sustainability criteria, and remain responsive to the global market’s shifting demands.