AI Document Process Automation in Pharma 2026 Report

This report is a comprehensive guide on the implementation of AI document process automation in the pharmaceutical sector. It outlines the challenges faced by Quality and Regulatory teams, particularly regarding the accuracy and reliability of data extracted from documents. The document discusses the importance of converting unstructured document data into structured, validated, and traceable formats necessary for compliance and operational efficiency. It presents a phased roadmap for organizations to transition from manual document reviews to automated workflows, detailing proven use cases alongside validation approaches that comply with regulatory standards. The report emphasizes the need for deterministic models in high-risk areas and a hybrid approach for lower-risk tasks. Additionally, it introduces the FAIR-GRACE standard for AI-ready data and provides actionable steps to classify, interpret, extract, validate, and deliver data effectively. This guidance aims to assist stakeholders in achieving efficiency gains and overcoming barriers in AI deployment within the pharmaceutical industry.