Build Vs. Buy: A Guide on Adopting AI Agents For Life Sciences

Artificial intelligence is reshaping life sciences, but deciding whether to build or buy AI solutions can be complex. This guide explores the critical factors behind each approach, helping organizations weigh cost, scalability, and speed-to-market against customization and control.

Building AI agents internally offers flexibility and alignment with unique workflows, but it demands significant investment in talent and infrastructure. Conversely, buying pre-built solutions accelerates deployment and reduces risk, though it may limit adaptability. The discussion also highlights regulatory considerations, integration challenges, and the importance of data security in both scenarios.

For leaders aiming to future-proof operations, understanding these trade-offs is essential to making informed decisions that drive innovation without compromising compliance or efficiency. Access the full guide to learn how to evaluate your organization’s readiness and choose the strategy that delivers the greatest long-term value.