From Pilot to Production: Navigating AI Adoption Through Risk-First Prioritisation
Author: Diana Gamez, Head of Data & AI Engineering
Category: Innovation & Technology
Estimated read time: ~15 min
Basel, Switzerland – June 2, 2025
The adoption of artificial intelligence (AI) in the Life Sciences sector is accelerating, yet organisations continue to struggle with moving beyond proof-of-concept (POC) projects. Despite AI’s potential to reduce human error, improve efficiency, and lower costs, the sector’s high regulatory burden and low risk tolerance often stall initiatives before they reach production.
MIGx proposes a risk-first approach to AI prioritisation. Rather than beginning with a broad inventory of use cases, organisations should first identify business processes with an existing tolerance for imperfection—those insulated from patient-facing impact and regulatory scrutiny. This enables a faster, more confident path to real-world deployment.
Key strategic takeaways include:
- Prioritising AI investments where failure is manageable
- Accelerating time-to-production by integrating compliance early
- Building internal confidence and momentum through low-risk wins
- Creating a scalable roadmap that aligns with regulatory frameworks
As a partner with deep expertise at the intersection of AI, enterprise IT, and regulated industries, MIGx helps pharmaceutical and biotech companies identify practical entry points for AI and navigate the sector’s cultural and operational constraints. We enable clients to shift from exploration to execution—safely, strategically, and at scale.
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New Insight from MIGx: From Pilot to Production
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