Structured Governance Across the Full AI Lifecycle

Onboard AI brings discipline and visibility to every stage of AI adoption in healthcare. From intake through ongoing oversight, the platform ensures tools are evaluated, deployed, and monitored within a consistent, reviewable framework.
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A Systematic Approach to AI Oversight

AI governance isn't a single meeting or approval step. It’s a structured lifecycle that begins with intake and continues through monitoring, reassessment, and documentation. Onboard AI coordinates this lifecycle within one system of record.

Upstream
Structure
Clear intake and evaluation standards reduce ambiguity, enable high volumes of AI throughput and standardize review for each committee meeting.
Downstream Accountability
Deployment includes defined conditions, monitoring triggers, and ongoing oversight over time.
Step 01
Intake + Triage
Step 02
Assessment
Phase 01
Institutional Memory
Step 03
Model Testing
Step 04
Committee Review
Phase 02
DEFINED SAFEGUARDs
Step 05
Post-Deployment
Monitoring
Phase 03
SHARED STANDARDS
Step 06
Automated AI
Management
Step 01
INTAKE + TRIAGE

AI enters the workflow with minimal friction.

AI enters the workflow from third-party vendors, internally developed tools, and enterprise feature releases.

Phase 01
Institutional memory

Longitudinal Profiles

Every stage of governance builds on a persistent record that evolves with the AI system.

Step 01
INTAKE + TRIAGE

AI enters the workflow with minimal friction.

AI enters the workflow from third-party vendors, internally developed tools, and enterprise feature releases.

Phase 02
Defined Safeguards

Conditions and Mitigations

Evidence is tied to flagged Risks, which are tied to Mitigations, Ownership and contained in a longitudinal, durable Governance Record for each AI tool.

Step 01
INTAKE + TRIAGE

AI enters the workflow with minimal friction.

We support high-volume intake, e.g. vendors, internal AI, enterprise releases. Our system checks for duplicate entries, version updates + triages accordingly.

Phase 03
SHARED STANDARDS

Transportable Governance

Onboard AI enables structured AI tool profiles that can be shared across organizations, reducing redundant evaluation effort while preserving local accountability.

Governance That Reinforces Human Responsibility

Onboard AI does not replace human judgment. It structures and supports it. Roles, responsibilities, and oversight expectations remain clearly defined throughout the lifecycle.
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Defined Ownership
Each tool has an accountable business and clinical owner.
Clear Conditions of Use
Deployment parameters are documented, not implied.
Transparent Mitigation Plans
Risks are paired with defined mitigations in the form of Contract Provisions and Internal Tasks, pre- and post-deployment.
Documented Rationale
Governance records reflect how and why tools progressed through review.

Governance That Evolves With Your Organization

AI systems change. Data shifts. Regulations evolve. Governance must keep pace.

Version Awareness

New releases can trigger structured reassessment.

Risk Recalibration

Changes in autonomy or use case prompt renewed evaluation.

Scheduled Re-Review

Time-based checkpoints ensure assumptions remain valid.

Durable Institutional Memory

Oversight persists beyond leadership changes and committee turnover.