Platform

The control plane for clinical AI operations

Name: Turing
Brand: Turing

Turing connects policy, evidence, drift, incident response, and change workflows into one operating layer for live clinical AI.

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Turing demo mode page with deterministic scenario route and operator controls

Product overview

Connected capabilities, not a single dashboard

Each module contributes to one operating model: detect boundary events, apply policy outcomes, preserve evidence, investigate drift, govern change, and manage incidents.

Capability map

Epic / EHR Onboarding
Control Tower
Policy Outcomes

View full capability notes

Audit Vault

Supports evidence-ready review without reconstructing events from fragmented logs.

Drift Investigation

Helps teams detect meaningful change early, before silent degradation becomes operational harm.

Change Proposal

Enforces controlled change rather than ad-hoc tuning in production pathways.

Incident Workflow

Connects governance signals directly to operational incident management.

See scenario map

Epic / EHR Onboarding

Connect model outputs and supporting context to a monitored scope aligned with intended use and operational ownership.

Operational value: Establishes a governed baseline from day one, rather than retrofitting controls after incidents.

Turing launch and onboarding context for Epic-native deployment

Control Tower

Provide a live operations layer showing scenario status, policy outcomes, and required next actions across monitored models.

Operational value: Creates shared situational awareness for clinical informatics, quality/risk, and digital leadership.

Turing demo mode control tower entry showing deterministic route order

Policy Outcomes

Convert model-state and context signals into explicit operational states: HOLD, ABSTAIN, or CAUTION.

Operational value: Reduces ambiguity by defining consistent decision logic with reason codes and ownership.

Control tower with CAUTION policy outcome and operational guidance

Audit Vault

Preserve traceability across input context, policy evaluation, resulting state, and associated operator actions.

Operational value: Supports evidence-ready review without reconstructing events from fragmented logs.

Audit vault event log and evidence details panel

Drift Investigation

Surface baseline vs recent shifts, threshold crossings, and alert burden deltas that require clinical operations review.

Operational value: Helps teams detect meaningful change early, before silent degradation becomes operational harm.

Drift investigation workspace with threshold crossings and risk trend metrics

Change Proposal

Translate findings into a structured change packet with rationale, expected impact, and approval workflow.

Operational value: Enforces controlled change rather than ad-hoc tuning in production pathways.

Change proposal decision artifact with expected impact controls

Incident Workflow

Escalate and track safety-relevant events with accountable steps from detection to decision to rollback or recovery.

Operational value: Connects governance signals directly to operational incident management.

Control tower HOLD state triggering incident response workflow

How the system works

Policy + drift + audit + change in one path

Turing maintains state continuity so teams understand what happened, why it happened, and what should happen next.

Phase 1

Model event

Phase 2

Policy decision

Phase 3

Audit evidence

Phase 4

Drift investigation

Phase 5

Change proposal

Phase 6

Incident or rollback path

Evidence model

Audit-ready by design

Operational history, policy reasoning, and workflow action trails are linked so review teams can assess decisions without reconstructing fragmented logs.

Linked reason codes for every policy outcome
Traceable sequence from trigger to decision to action
Structured evidence to support governance review

Audit vault search and event evidence workspace

Drift investigation metrics and threshold crossing analysis

Change proposal decision artifact with expected impact preview

See platform workflow in demo kit

Review the platform in a guided operational narrative

Start with scenario-based demo content, then move to a focused pilot and controlled interactive evaluation.

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