Assurance

Trust the process, not just the tool.

RHIEOS works on governance across regulated and partnered work — decision rights, oversight and accountability that hold up under scrutiny, whether the process runs through people, partners, or AI. AI-supported GxP work is where this is currently tested hardest: can people detect, challenge and recover when it's wrong?

Part of the RHIEOS Decision to Value Loop

Working model RHIEOS Decision Intelligence and AI Assurance for GxP model

One example in practice: context, structured choices, human + AI judgement, assurance and learning in AI-supported GxP work.

Decision rights: who owns a decision, and who can challenge it?

Partnering: how is oversight kept across sponsors, CROs and vendors?

AI in GxP: what does the system do, and what must a person still decide?

Change & recovery: how are drift, failure and skill currency detected?

Assurance resources →

In practice

Governance for an AI-supported PV system.

RHIEOS advised a global Japanese biopharma on regulatory and pharmacovigilance governance, co-developing an AI-based literature-monitoring system together with the oversight, review and escalation structure needed to run it safely in a regulated setting.

50%+Cost reduction

90%Compliance accuracy

AI + humanLiterature monitoring, with oversight

PV / GxPRegulated governance context

Learning: the cost and speed gains from AI hold up because a person can still detect, challenge and correct what the system finds.

Other areas

Part of the same loop.

AccessReducing trial burden, then broader patient and health-system access.Asset ValuePartners, budgets, contracts and the value of scientific knowledge.LearningPurpose, goals, judgement, capability and organisational learning.