AI and Agentic Workflow Governance
Regenemm Healthcare's public position on governed AI, bounded agentic assistants, human review, provenance, consent, and clinical release gates.
AI and Agentic Workflow Governance
Regenemm Healthcare uses AI to support clinical workflows, not to replace clinical responsibility.
Our platform is designed so that AI and agentic assistants operate inside governed healthcare boundaries: role, workflow, consent, data access, audit, provenance, release gates, and human review.
Our position
Regenemm does not treat AI assistants as autonomous clinicians.
AI systems may assist with documentation, summarisation, retrieval, workflow checks, triage support, billing preparation, medicolegal preparation, patient education drafts, and care-team coordination.
Material clinical outputs require appropriate human review before clinical reliance, patient-facing release, or external disclosure.
Identifiable patient records are not used to train foundation models by default.
Agentic assistants
Regenemm agentic assistants are bounded workflow participants.
They may support tasks such as:
- preparing draft clinical documentation;
- summarising patient context;
- identifying missing workflow items;
- retrieving relevant evidence;
- preparing escalation briefs;
- supporting billing or claim-readiness workflows;
- assisting medicolegal chronology preparation;
- drafting patient education content for clinician review.
Agentic assistants must not:
- make final clinical decisions;
- silently change clinical truth;
- bypass Regenemm Voice as the Hub;
- access patient data outside declared workflow need;
- release patient-facing material without an authorised release gate;
- use identifiable patient data for model training by default.
Care Graph Contracts
Regenemm governs agentic workflows through Care Graph Contracts.
A Care Graph Contract defines:
- the workflow purpose;
- the human care-team participants;
- the agentic participants;
- permitted data classes;
- permitted tools;
- forbidden actions;
- escalation rules;
- human review requirements;
- release gates;
- audit events;
- network and runtime boundaries.
This means AI activity is not free-form. It is governed by declared clinical workflow structure.
Hub-governed AI
Regenemm Voice acts as the Hub and clinical control plane.
The Hub governs:
- clinical state;
- identity;
- access;
- consent;
- provenance;
- audit;
- workflow orchestration;
- release controls;
- data permanence.
Spokes provide workflow surfaces. AI assistants operate inside those workflows, but durable clinical state and audit records return to the Hub.
Knowledge retrieval
The Regenemm Knowledge Base supports evidence retrieval and reference workflows.
Knowledge retrieval may support clinicians, patient education drafts, and agentic workflow context. It does not override patient-specific clinical truth governed by Regenemm Voice.
Human review
Regenemm is designed for human-centred clinical AI.
AI may assist.
Clinicians decide.
Patients control sharing through Regenemm Link.
Audit persists through the Hub.