AI Governance
Large language models, copilots and autonomous agents are now embedded in the daily work of pharma, biotech, MedTech and clinical-research teams: medical writing, pharmacovigilance triage, HR screening, sales enablement, coding. Each of these tools makes your organisation a deployer under the EU AI Act (Regulation (EU) 2024/1689), and each one connects to systems that hold patient, employee and partner data governed by the GDPR.
AI Governance is our answer for organisations that use AI rather than build it. It is a packaged workstream, deployed in weeks, that gives you one policy, one scored assessment, one approval register and one accountable role for every AI tool in the business. If you also develop AI systems, see our AI Compliance services for providers.
AI Governance for Deployers: What the Programme Covers
The EU AI Act treats you differently depending on whether you use AI tools or build them. As a deployer, your obligations are about how you select, connect and supervise third-party AI: AI literacy for your staff (Art. 4), use in line with the provider's instructions, human oversight and input-data control for high-risk uses (Art. 26), and a fundamental rights impact assessment where required (Art. 27). The GDPR adds its own layer whenever personal data flows into the tool.
We turn these obligations into an operating model anchored in ISO/IEC 42001 (AI management systems) and the NIST AI Risk Management Framework (Govern, Map, Measure, Manage), and integrated with the data protection governance your DPO already runs.
Governance starts with knowing what you run and in which capacity. Through a questionnaire-based scoping exercise we build your AI system inventory, determine your role for each tool (deployer, provider, importer or distributor) and document whether the intended purpose falls under a prohibited, high-risk, limited-risk or minimal-risk category of the EU AI Act.
Typical findings in Life Sciences: an HR screening assistant that qualifies as high-risk under Annex III, a patient-facing chatbot that triggers transparency duties, and a fleet of minimal-risk productivity tools that still process personal data under the GDPR.
We draft or consolidate your Corporate AI Policy, elevating existing employee guidelines into a binding internal rule set: permitted and prohibited uses, data that may and may not be entered into a tool, and the approval route for new use cases.
Around the policy we set up the AI governance SOPs: approval and exception workflows, incident and misuse escalation, and periodic review cycles. Roles are fixed in a RACI for your AI Governance Team, integrated with your existing data protection and quality governance rather than duplicating it.
The core of the workstream is a repeatable process to assess and approve any AI tool (LLM, agent, copilot) before it connects to enterprise systems such as Microsoft 365, Salesforce or your CTMS. Each candidate is scored across four dimensions:
- Compliance and legal: vendor terms, DPA and zero-data-retention provisions; international transfer mechanism (adequacy, EU SCCs, Data Privacy Framework); downstream commitments in your customer and sponsor contracts; sanctions and restricted-origin model screening; purpose definition and the resulting AI Act classification.
- Security and access: security review checklist for the tool and its integrations; identity and access management, delegation flows, token handling and least-privilege scoping.
- Data and connections: tiering of the data the tool may access, with a risk rating per tier, and the controls required at connection level.
- Customer and stakeholder notification: a clear yes/no decision on whether the tool introduces a new sub-processor or data connection that must be disclosed to clients, sponsors or data subjects.
Outputs: an AI Tool Onboarding Policy and SOP, the scored assessment template, an intake and triage form, and a decision register aligned with your vendor assessment process.
Where a tool is used for a high-risk purpose, we operationalise the deployer duties of Art. 26 EU AI Act: use in accordance with the provider's instructions, assignment of trained human oversight, relevance and representativeness checks on input data, retention of automatically generated logs, and information to workers and affected persons.
For deployers that are bodies governed by public law, or private operators providing public services or credit and insurance scoring, we prepare the Fundamental Rights Impact Assessment required by Art. 27, and combine it with the GDPR DPIA whenever health or genetic data are involved.
Since 2 February 2025, providers and deployers must ensure a sufficient level of AI literacy among staff and other persons operating AI systems on their behalf. We design and deliver role-based training: an all-staff module on the Corporate AI Policy and safe prompting, and targeted sessions for medical, clinical, HR, IT and commercial teams whose use cases carry higher risk.
Training is tracked and evidenced so that it stands up to an audit, in the same way as our data privacy training.
Governance only works if someone owns it. As your outsourced AI Compliance Officer we run the process after go-live: intake of new tools, periodic re-assessment of approved ones, regulatory watch (EU AI Act guidelines and delegated acts, EDPB opinions, national authority positions), incident handling and misuse escalation, and reporting to management on the state of AI use across the organisation.
The role is designed to sit alongside your DPO mandate, so that AI governance and data protection are steered from one place, with one set of registers.
How iliomad Health Data Helps You Govern AI Tools
AI Governance is delivered as a packaged workstream: scoping in the first two weeks, policy, assessment template and register in production within weeks, then a steady-state oversight rhythm. We are regulatory-compliance practitioners, not a law firm: you receive documents your teams can run, not an opinion.
Read our guide to the EU AI Act and our analysis of large language models and foundation models in Life Sciences. If your organisation also develops AI, our AI Compliance track takes those systems through classification, conformity assessment and post-market monitoring. Get in touch to scope your programme.
FAQs
Our frequently questions
An AI Compliance Officer ensures your AI systems comply with the EU AI Act, GDPR, and other applicable regulations by overseeing risk management, documentation, and ongoing monitoring requirements. Under the EU AI Act, organizations deploying high-risk AI systems (including medical devices, clinical decision support, and diagnostic tools) must establish AI governance structures—the AI Compliance Officer fulfills this mandate.
Organizations developing or deploying AI systems in healthcare, life sciences, medical diagnostics, clinical decision support, patient risk stratification, drug discovery, or any AI classified as "high-risk" under the EU AI Act require dedicated AI compliance oversight. Most health tech companies using machine learning on patient data, MedTech companies with AI-enabled devices, and pharma companies using AI in clinical development fall into this category.
We establish AI governance frameworks, conduct conformity assessments, perform periodic AI audits and performance reviews, ensure transparency and explainability requirements are met, define accountability structures and role definitions, maintain continuous compliance oversight, and interface with regulators and notified bodies. With AI compliance experience across 75+ countries, we navigate the intersection of EU AI Act, medical device regulations (MDR/IVDR), GDPR, and FDA AI/ML requirements for health applications.
A DPO focuses on data protection compliance (GDPR, privacy, data subject rights), while an AI Compliance Officer focuses on AI system compliance (EU AI Act, algorithmic accountability, risk management, performance monitoring). Many health AI companies need both roles: the DPO oversees how patient data is processed, while the AI Compliance Officer ensures the AI system itself meets safety, transparency, and regulatory requirements.
Contact us through our website form or email directly. We'll schedule an initial consultation to understand your regulatory landscape, identify immediate priorities, and propose a tailored engagement that fits your timeline and budget.
