Case Study
Healthcare & Regulated Industries — High-Risk AI Compliance
Healthcare organisations deploying AI in clinical decision support, patient triage, diagnostics, or administrative automation face some of the most stringent obligations under the EU AI Act. VeridianTech Co. helps healthcare and life sciences organisations understand which of their AI systems qualify as high-risk, what their compliance obligations are, and how to build governance that protects both patients and the organisation.
Kevin Williams
Founder, AscendAI | Former engagement lead
"Sonia ran an exceptionally tight ship — crisp weekly syncs, deliverables consistently on schedule, and seamless coordination across a diverse team. That judgment is rare and valuable."
The challenge
Healthcare and highly regulated industries face some of the most demanding obligations under the EU AI Act. AI systems used in clinical decision support, patient triage, diagnostic imaging, or remote monitoring are classified as high-risk under Annex III, triggering mandatory conformity assessments, technical documentation requirements, human oversight obligations, and registration with the EU AI database.
Many organisations in this sector have deployed AI tools without formally assessing their regulatory status, leaving them exposed to fines of up to 7% of global annual turnover for non-compliance with the EU AI Act's most serious provisions.
Beyond the EU, regulated industries globally face increasing scrutiny of AI decision-making — from financial regulators concerned about automated credit decisions, to healthcare bodies examining clinical AI systems.
Our approach
High-risk system identification: Working through the organisation's full AI system inventory and applying EU AI Act Annex III criteria to identify which systems require formal conformity assessments.
Conformity gap analysis: Assessing current documentation, data governance, testing records, and human oversight mechanisms against EU AI Act requirements for high-risk systems.
Technical documentation development: Building the required technical file, including system descriptions, risk management documentation, data and data governance documentation, and accuracy and performance metrics.
Human oversight design: Designing appropriate human oversight mechanisms into clinical and administrative workflows to meet Article 14 obligations.
Staff AI literacy: Equipping clinical and operational staff with the knowledge to interact with AI systems within the governance boundaries the organisation has set.
Experience base
VeridianTech Co. brings cross-sector compliance experience from Big 4 engagements in financial services, telecommunications, and professional services — industries that share many of the control design and regulatory documentation challenges faced by healthcare organisations adopting AI.
What clients walk away with
EU AI Act risk classification for all clinical and administrative AI systems
Conformity assessment roadmap for high-risk systems, including required technical documentation
Human oversight mechanisms designed into workflows for systems that affect patient outcomes
AI literacy programme tailored to clinical and administrative staff
Ongoing compliance monitoring with quarterly expert review
Relevant frameworks
EU AI Act · NIST AI Risk Management Framework · ISO 42001 · ISO 27001 · COBIT
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