We help clients establish proportionate governance across the full lifecycle of AI and emerging technology,
from initial proposal and procurement through implementation, operation, significant change and retirement.
We review whether the organisation has visibility of its AI systems, automated processes and connected
technologies, including tools acquired locally or accessed directly by staff. This helps identify unclear
ownership, inconsistent approval and technology operating outside established governance arrangements.
Our advisory work can consider the strength of business justification, procurement and supplier due
diligence, information governance, data protection, cyber security and clinical safety. Where the technology
may affect clinical or operational decisions, we also consider how the organisation evaluates accuracy, bias,
false or inconsistent outputs, human oversight and the consequences of system failure.
A key part of the service is determining whether accountability remains clear. We examine who owns the
technology, who approves its use, how users challenge its outputs and how concerns are escalated. This is
particularly important where professional judgement must remain central to decisions affecting patients or
services.
Assurance does not end at implementation. Our work can examine whether performance, incidents,
complaints, user feedback, supplier changes and emerging risks are monitored after deployment. It can also
cover Robotic Process Automation, Internet of Medical Things, generative AI and AI-supported clinical
systems, with the depth of review matched to the purpose and potential impact of the technology.

