Solution · Healthcare
Govern consequential clinical AI actions with proof
When clinical assistants propose triage decisions or patient-facing actions that exceed scope, Recon evaluates authority at the boundary—before the action becomes liability you cannot explain.
Anchored scenario
A clinical assistant proposes a patient-facing triage recommendation that may exceed the assistant's authorized scope.
- Policy — Policy requires clinician approval before the recommendation reaches the patient.
- Trust Receipt — Trust Receipt records the hold, policyId, and authority context.
- Ledger — Ledger preserves the same correlationId for audit and investigation.
- Mission Control — When Policy escalates, operators open the receipt for review and coordinate clinician handoff.
01 · Urgency
What can go wrong?
Clinical-adjacent AI can propose consequential actions—triage recommendations, patient-facing guidance, or workflow triggers—without a durable record of who authorized what. When clinical leadership or compliance asks why an action occurred, fragmented logs are not defensible proof.
- Assistant output crosses clinical scope boundaries without an explicit authority check
- No inspectable record ties the recommendation to policy and approver context
- Incident response requires manual reconstruction across EHR, chat, and workflow tools
02 · Govern
What does Recon govern?
Recon governs the AI-action boundary: each governed interaction is one Trust Atom—observed, evaluated against your Policy, and resolved before execution proceeds. You configure rules; Recon enforces them consistently and returns a decision your systems can act on.
- Observe the attempted clinical action with org scope and integration context
- Evaluate trust and exposure against Policy—not opaque model confidence
- Return permit, hold, or escalate outcomes your workflow can enforce
03 · Control
What happens when Policy intervenes?
Policy is business control—not an architecture diagram. Your team defines who may deliver patient-facing recommendations, when clinician approval is required, and what happens on violation. Recon applies those rules on every governed interaction.
- Permit when authority and scope match your clinical Policy
- Hold or require approval when consequential triage needs clinician review
- Escalate to human operators when risk exceeds automated thresholds
04 · Proof
What proof do I retain?
Every governed interaction produces a Trust Receipt—inspectable evidence of the action, Policy decision, and authority context. The Ledger appends durable evidence tied to the same correlationId so audit and investigation do not depend on internal graphs.
- Trust Receipt — open the artifact and see why Recon decided permit, hold, or escalate
- Ledger — confirm the entry persists for retention and export workflows
- One correlationId threads from recommendation → decision → receipt → ledger entry
Recon requires approval before this action proceeds.
- correlationId
- tacorr_8f3a2b1c4d5e6f708192a3b4c5d6e7f8
- receiptId
- a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456
- decision
- require_approval
- policyId
- policy_healthcare_scope_gate
- actionType
- healthcare_clinical_triage_recommendation
Ledger
The Ledger is your durable evidence spine—every Trust Receipt links back to the same correlationId for retention and audit.
- correlationId
- tacorr_8f3a2b1c4d5e6f708192a3b4c5d6e7f8
- ledger.entryId
- b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef1234567890
05 · Outcome
What business risk does that reduce?
Teams reduce patient-safety gaps, audit friction, and liability from ungoverned clinical AI actions. You can show what was attempted, which Policy applied, and what proof exists—without asking buyers to learn internal runtime vocabulary.
- Clinical defensibility — explain consequential AI recommendations with attributable proof
- Audit readiness — Ledger retention supports review and export without log stitching
- Liability containment — holds and escalations fire before patient-facing actions proceed
Illustrative buyer language only—not medical diagnosis, not clinical decision support certification, and not a substitute for licensed clinical review.