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AI & Medical Devices

AI Medical Device Compliance Consultants

At the AbedGraham Group

If your product includes AI features, models, or decision-support functionality, you may be required to demonstrate compliance under:

  • EU MDR (Medical Device Regulation)
  • UKCA / UK Medical Device Regulations
  • ISO-aligned quality and risk management standards
  • Cybersecurity and resilience requirements increasingly expected by regulators and customers

At The AbedGraham Group, we provide specialist compliance services for health tech companies and medical device manufacturers building AI-enabled products supporting organisations across the UK and Europe from Class I self-certification through to full compliance for Class IIa and above. Book a call or use our free tool to see if your software product qualifies as a medical device.

Who This Service Is For

We support:

  • Digital health companies building AI-enabled clinical software
  • AI-based SaMD (Software as a Medical Device) manufacturers
  • Medical device manufacturers adding AI modules or features
  • Connected device and remote monitoring product teams
  • Health IT and infrastructure vendors operating in regulated healthcare markets

Whether you are early-stage and preparing for Class I self-certification, or scaling into Class IIa/IIb/III requirements, our services are designed to be practical, defensible, and audit-ready.

We are specialists in compliance, cybersecurity and standards-based assurance for organisations operating in regulated healthcare markets.

AI Medical Device Compliance & Market Readiness

AI-enabled products present specific regulatory and compliance challenges across all device classes. We provide practical support to manufacturers to ensure appropriate classification, proportionate evidence, and ongoing compliance aligned with applicable medical device regulations and supporting standards.

Class I AI Products: Self-Certification Support

Many AI-enabled products fall into Class I depending on intended use, claims, and risk profile.

For these products, manufacturers may be able to proceed via self-certification but this still requires structured evidence and compliance discipline.

We support Class I manufacturers with:

  • Intended use and claims alignment
  • Classification support and justification
  • Quality and technical documentation readiness
  • Risk management and usability evidence
  • Cybersecurity baseline and documentation
  • Support preparing for NHS, buyer and procurement scrutiny

This service is ideal for organisations that need to move quickly, but cannot afford compliance mistakes that later block market access.

Class IIa and Above: Full Compliance & Market Readiness

AI products that influence clinical decision-making, diagnostic pathways, or patient management often fall into Class IIa, IIb or higher.

These classes require substantially more evidence, governance and operational readiness including external conformity assessment and robust post-market systems.

We support organisations across the full lifecycle, including:

Core Areas of Support

ISO Standards & Quality Management

We support implementation and alignment across the ISO standards that underpin medical device compliance and regulatory confidence, including:

  • Quality management system readiness
  • Risk management and design control alignment
  • Audit preparation and evidence structuring
  • Supplier and outsourced process controls

Cybersecurity & Resilience for AI Medical Devices

Cybersecurity is now inseparable from safety and performance for connected and AI-enabled medical devices.

We provide cybersecurity services aligned to regulated healthcare expectations, including:

  • Security governance and risk management
  • Secure development and lifecycle controls
  • Threat modelling and security assurance
  • Incident response readiness and resilience planning
  • Evidence packs for technical documentation and audits

Our approach supports both regulatory requirements and the real-world procurement expectations of healthcare customers.

Clinical Evaluation & Clinical Validation

AI products often fail regulatory scrutiny not because the technology is weak, but because the clinical evidence is insufficient, poorly structured, or not aligned to intended use.

We support:

  • Clinical evaluation planning
  • Evidence strategy and validation approach
  • Claims substantiation and performance justification
  • Documentation structured for review and audit

Post-Market Surveillance (PMS) & Continuous Compliance

For Class IIa and above, compliance is not a one-time event.

We support:

  • PMS system design and documentation
  • Real-world performance monitoring strategies
  • Feedback and incident handling processes
  • Continuous improvement and regulatory readiness

This is especially important for AI products where updates, retraining, or model drift can introduce ongoing risk and regulatory exposure.

Technical Documentation & Audit Readiness

We help manufacturers structure and maintain documentation that is clear, defensible and aligned to expected conformity assessment standards.

This includes support across:

  • Technical file readiness
  • Risk management file alignment
  • Cybersecurity evidence
  • Clinical evidence structure
  • PMS and vigilance documentation
  • Supplier assurance evidence

AI-Specific Compliance Challenges We Help Solve

AI-enabled products introduce additional complexity, including:

  • Unclear or shifting intended use and claims
  • Dataset provenance, bias and performance evidence
  • Model drift and update governance
  • Explainability and clinical interpretability
  • Human factors and usability risk
  • Safety and cybersecurity interdependence

We help you manage these challenges in a way that supports both innovation and regulatory confidence.

Why Choose The AbedGraham Group?

We are specialists in compliance, cybersecurity and standards-based assurance for organisations operating in regulated healthcare markets.

Our work is designed to support:

  • Faster market access
  • Stronger audit outcomes
  • Reduced regulatory risk
  • Increased buyer confidence
  • Sustainable compliance as products evolve

We bridge the gap between product teams, quality teams, cybersecurity requirements, and clinical evidence — ensuring your AI product can scale safely and credibly.

Dr Alexander Graham

AI & Medical Devices

Talk to an AI & Medical Devices specialist

If your AI product requires Class I self-certification support, or you need full compliance readiness for Class IIa and above, speak to our consultants today.

Frequently asked questions

Not automatically. Whether your product is regulated as a medical device depends on its intended purpose, claims, and whether it is used for diagnosis, prevention, monitoring, prediction, prognosis, treatment or alleviation of disease. Many AI-enabled products become regulated because they influence clinical decision-making or patient management.

Yes, many AI-enabled medical devices and software products can be Class I and may be eligible for self-certification, depending on intended use and risk. However, Class I still requires robust evidence, technical documentation, risk management, and cybersecurity documentation to support compliance and procurement scrutiny.

For Class IIa and above, manufacturers are generally expected to implement ISO-aligned systems covering:

quality management

risk management

design and development controls

supplier assurance

post-market surveillance

cybersecurity governance and assurance

These standards underpin auditability, conformity assessment, and regulatory confidence.

Yes. Cybersecurity is increasingly treated as a patient safety requirement, particularly for connected and software-based devices. Regulators, notified bodies, and healthcare customers expect evidence of:

security risk management

secure development practices

vulnerability management

incident response and resilience

traceable cybersecurity documentation within the technical file

Clinical validation is the evidence that your AI product performs as intended for its clinical purpose and that claims are supported. This typically includes:

clear performance metrics aligned to intended use

evidence that outputs are clinically meaningful

validation that reflects the intended population and setting

documentation suitable for clinical evaluation and regulatory review

AI products often require stronger post-market discipline because performance can change over time due to:

updates and retraining

changes in real-world data

workflow changes in clinical settings

model drift

Regulators expect manufacturers to monitor performance, manage change safely, and maintain continuous compliance through structured PMS processes.

Yes. We support AI-enabled medical device manufacturers across the full lifecycle - from Class I self-certification support through to full readiness for Class IIa and above, including ISO alignment, cybersecurity, clinical validation, technical documentation, and post-market surveillance systems.

Book a Discovery Call

If your AI product requires Class I self-certification support, or you need full compliance readiness for Class IIa and above, speak to our consultants today.

Talk to the specialists behind NHS clinical safety and cyber assurance.

Is your software/ai a medical device - free guide

Free Guide

Discover more in our classification guide