AI & Technology Consultancy

AI governance is the framework of policies, accountabilities and controls an organisation uses to decide which AI tools may be used, on what data, under whose oversight, and with what monitoring. In practice it covers an inventory of AI in use, risk tiering, an acceptable-use policy, human oversight of consequential outputs, vendor due diligence, and regular reporting to the board.

A structured review of an AI vendor and its claims — what the tool actually does, what data it collects and where it goes, whether your information is used to train models, how the model is updated, privacy and consent implications, and whether a feature update changes the tool's regulatory status. The assessment is independent of any vendor.

Clinical AI governance extends your existing clinical governance framework to AI tools used in clinical settings — scribes, decision support, triage — rather than creating a separate discipline. It covers an AI inventory and board reporting, human oversight and escalation pathways, and monitoring for model drift and automation bias.

Practical AI literacy for boards, executives and frontline teams — prompting and workflow optimisation, and safe, acceptable use within your governance and privacy guardrails, aimed at building lasting in-house capability.

No — we work across sectors, with particular depth in healthcare and regulated environments. Clinical AI and medical-device advisory sit within our healthcare solutions.