Realizing the full potential of AI in pharmacovigilance requires a deliberate approach to implementation and scaling. True success depends not just on choosing the right technology, but on aligning it with business processes, governance frameworks, and organizational readiness.
In our guide, we outline the key considerations life sciences organizations should address when building and scaling an AI strategy in PV, whether just beginning their AI journey or looking to bring structure to ongoing initiatives.
Key takeaways include:
- How to build a structured AI adoption roadmap, from sandboxing to scaling.
- Critical questions to ask when evaluating AI-enabled PV technology partners.
- Best practices for quantifying value and securing stakeholder buy-in.
- Governance principles for maintaining compliance, transparency, and auditability.
- Change management strategies that drive adoption, trust, and long-term success.
- A practical “go-live” readiness checklist of key items to keep in mind.
