A patient wakes up with recurring back pain and asks an AI assistant what to do. The app checks its history, notes a previous prescription, and suggests switching to a different anti-inflammatory. Your molecule isn't mentioned. By the time the patient sees their doctor that afternoon for a prescription, the framing is set.
Artefact’s new white paper, Exploring the impacts of agentic AI on the relationship with HCPs, shines a light on the healthcare industry at a pivotal moment. Patients today are more digital, autonomous, and informed than ever before. Many consult online platforms and even AI tools before visiting a doctor. At the same time, healthcare professionals (HCPs) are overwhelmed by a flood of content, from scientific updates to promotional campaigns, and struggle to cut through the noise. Traditional engagement models centered on in-person visits and one-size-fits-all communication are no longer sufficient to maintain relevance.
The pharmaceutical industry stands at a decisive moment. The EU AI Act's August 2026 compliance deadline for high-risk AI systems is not merely a regulatory hurdle - it is a strategic inflection point that will redefine the competitive landscape for BioPharma. Most organizations frame this as a compliance burden. The market leaders are already recognizing it as a strategic opportunity: the chance to build a scalable trust stack (governance, assurance, adoption) that accelerates the molecule-to-market journey and builds a defensive moat around their data assets.
The Adopt AI International Summit 2025 took place on November 25th – 26th at the iconic Grand Palais in Paris. We were immensely honored to welcome President Emmanuel Macron, along with our 600 speakers and 250 exhibitors. The event drew 20,000 attendees to its 7 ecosystem stages, including AI for Health.
Artefact’s new ebook, The Agentic AI Advantage in Healthcare: Accelerating Pharma’s HCP-Centric Marketing from Insight to Outcome, demonstrates that agentic AI represents a major step forward in solving these challenges. While traditional generative AI focuses on creating content, agentic AI can take action. It receives goals and constraints, reasons strategically, and executes tasks autonomously within the guardrails of compliance and approved data sources. Agentic AI elevates AI from a productivity tool to a business performance engine.
For two decades, Master Data Management (MDM) gave organizations a single source of truth for customers, products, and suppliers so analytics and operations could run on clean, governed data.
In our previous articles, we challenged conventional ROI models for AI and introduced a multi-layered, context-driven framework for measuring AI’s unique value.
In today’s data driven marketing landscape, Customer Data Platforms (CDPs) have become an essential component of a successful strategy. A CDP is a centralised system that collects, cleanses, and unifies customer data from various sources to build comprehensive customer profiles.
As Thomas Filaire highlighted at VivaTech 2025, AI is speeding up crucial medical processes, enhancing personalized patient care, and streamlining complex operations, ultimately leading to more efficient and effective healthcare systems. It's a transformative leap towards delivering demonstrably better health outcomes for everyone
