Lifecycle Governance Agency

Operational governance for clinical AI and robotics

We help healthcare institutions and technology providers establish documented ownership, human oversight, deployment evidence and continuous lifecycle review.

Discuss the Governance Compliance ProgrammeView the Programme

For health systems, care organisations & clinical AI providers

[ The Primary Engagement ]

Governance Compliance Programme

A structured implementation programme for healthcare institutions seeking demonstrable control over clinical AI and robotics—from system discovery and role mapping to accountability, human oversight, evidence management and continuing review.

01

Discover & Classify

  • AI and robotics inventory
  • Intended-use review
  • Preliminary EU AI Act role and risk mapping
  • Provider and deployer responsibility mapping

Deliverable

Verified System Inventory and Governance Baseline

02

Assign & Implement

  • Institutional ownership
  • Human-oversight responsibilities
  • Escalation and incident pathways
  • Governance control implementation

Deliverable

Accountability and Control Framework

03

Record & Review

  • Clinical AI Registry™ record
  • Version and change history
  • Incident and review records
  • Monitoring responsibilities
  • Periodic continuation, restriction or retirement decision

Deliverable

Operational Governance Record and Review Cycle

[ The Governance Mandate ]

From Static Compliance to Continuous Institutional Oversight

LGA supports operational governance through two connected institutional functions:

The Evidence Infrastructure

Clinical AI Registry™

Clinical AI Registry™ provides a structured institutional record for documenting deployed clinical AI and robotics, their intended use, accountable owners, oversight arrangements, evidence status, versions, incidents and review decisions.

The Registry supports governance evidence, institutional review and audit readiness. It does not replace regulatory conformity assessment, a notified body, legal advice or the provider's statutory quality-management and post-market-monitoring obligations.

EU AI ActNIS2ISO 27001Audit Trail
Continuing Governance Review

Function II — The Oversight

Governance Review
Continuing Oversight & Review

Governance review processes established, responsibilities assigned and evidence records activated for the agreed systems in scope. A continuing institutional review function that supports the evidence interface between provider monitoring responsibilities and deployer oversight.

Performance

Review Framework

Change & Drift

Monitoring Responsibility

Incidents

Record & Escalation

Governance Status

Periodic Review

[ Institutional Risk ]

Where Health Systems & Care Organisations Are Exposed Today

01

Visibility

No central AI system registry.

Clinical AI systems are deployed without a unified inventory, leaving governance teams blind to what is operating and where.

02

Accountability

No defined ownership of AI-driven decisions.

When an AI system influences a clinical outcome, no single person or function bears documented accountability.

03

Compliance

No risk classification under the EU AI Act.

Providers of high-risk AI systems must follow the applicable conformity-assessment route before placing the system on the market or putting it into service.

04

Audit-Ready

No continuous documentation for regulatory review.

Fragmented or outdated records can make it difficult for providers and deploying institutions to demonstrate how responsibilities, controls and lifecycle decisions are being maintained.

[ Institutional Case Study ]

From Undocumented AI to a Demonstrable Governance Record

A high-level account of how a European health system established documented ownership, human oversight and continuing lifecycle review for its clinical AI—using the Governance Compliance Programme and the Clinical AI Registry™.

Starting Position

  • A multi-site European health system operating radiology, oncology and intensive-care AI decision-support tools.
  • No unified inventory of deployed clinical AI; oversight responsibilities undocumented; audit evidence fragmented across departments.
  • Regulatory pressure under the EU AI Act and internal audit findings prompted a board-level mandate for demonstrable governance.

Process Applied

01

Discover & Classify

A verified inventory of deployed clinical AI was established. Each system was mapped to intended use, clinical department and a preliminary EU AI Act risk classification.

02

Assign & Implement

Accountable clinical, governance and technical owners were named per system. Human-oversight and escalation pathways were documented and embedded into operational workflows.

03

Record & Review

Each system was entered into the Clinical AI Registry™ with version history, evidence bundles and a defined review cycle, creating a continuous lifecycle record.

Governance Outcomes

100%

Deployed clinical AI systems registered with accountable owners

3

Clinical departments brought under a unified governance record

Defined

Human-oversight and escalation pathways per system

Audit-ready

Evidence framework established for continuing review

Illustrative composite based on the Lifecycle Governance Agency programme methodology. Outcomes reflect process and evidence-framework adoption, not clinical performance claims.

Evidence Frameworks Established

System Inventory & Classification

Intended-use statements, deployment context and EU AI Act role/risk mapping held in a single registry record.

Accountability & Oversight Map

Named owners, human-oversight arrangements and escalation pathways documented and reviewable at board level.

Evidence Bundles

Vendor documentation, validation evidence and procurement records consolidated against each registered system.

Continuing Review Record

Monitoring events, incidents and periodic review decisions captured to support audit readiness over the lifecycle.

China Desk

China–Europe Clinical AI Governance Corridor

The China–Europe Clinical AI Governance Corridor supports structured readiness and deployment planning for Chinese clinical AI and robotics entering European institutional settings. It connects manufacturer evidence, European operator responsibilities, data and cybersecurity questions, human oversight and continuing lifecycle governance.

The Shenzhen Bridge functions as the corridor's geographical and relationship node — not a separate commercial product.

Manufacturer Readiness

Assessment of intended use, evidence, system architecture and governance gaps.

European Deployment

Role mapping, institutional requirements, human oversight and deployment planning.

Data & Remote Access

Data location, cybersecurity, software updates and remote-access responsibilities.

Lifecycle Accountability

Version changes, incidents, monitoring responsibilities and institutional review.

China–Europe Clinical AI Governance Corridor

The Corridor does not guarantee regulatory approval, procurement eligibility or hospital adoption.

Request a Corridor Briefing

Robotics · Embodied AI

Robotics Governance

A specialist application of the Governance Compliance Programme for embodied AI, surgical systems, rehabilitation robotics, autonomous care platforms and other physical systems operating alongside patients and professionals.

Operational boundaries

Human intervention

Override authority

Remote access

Software and hardware changes

Incident escalation and decommissioning

Robotics Governance Programme

The robotics-specific implementation route within the Governance Compliance Programme.

Explore Robotics Governance

[ Implementation ]

Typical Implementation — 90 Days

Achieve operational governance and continuing review within one quarter.

01
Weeks 1–4

Discovery & Registration

AI system discovery and registration in the Clinical AI Registry™.

02
Weeks 5–8

Classification & Accountability

EU AI Act risk classification and accountability mapping. Systems requiring provider conformity-assessment evidence are identified and documented.

03
Weeks 9–12

Governance Review Activation

Governance review processes established, responsibilities assigned and evidence records activated for systems in scope.

Dr Rebindrenath R. Goerdin — Founder, LGA – Lifecycle Governance Agency

Founder — Lifecycle Governance Agency

Founder

Dr Rebindrenath R. Goerdin

Physician · Founder — Lifecycle Governance Agency

A physician and healthcare entrepreneur working at the intersection of clinical medicine, digital health infrastructure, and governance frameworks for artificial intelligence in healthcare — establishing operational oversight for AI and robotics across European health systems.

Clinical AI governanceEU AI Act readinessHealthcare digital infrastructure
Read the founder profile

LGA – Lifecycle Governance Agency

Operational Governance for AI & Robotics

Lifecycle Telehealth group BV

Trading as Lifecycle Governance Agency

Enterprise number: BE 0878.090.520

© 2026 Lifecycle Governance Agency. All rights reserved.

Lifecycle Governance Agency provides governance implementation and evidence-support services. It does not act as a regulator, notified body, certification body or legal adviser.

Clinical AI Registry™ is a proprietary framework of Lifecycle Governance Agency.

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