Skip to main content

AI governance for health systems

You govern AI.
We enforce it.

Put policy into practice.

Bring your AI tools, accountable owners, and governance decisions into one shared view.

Start with the tools your teams already use.

Skovos governance console over a hospital, connecting healthcare teams and governed AI

See governance in action.

00:59

Recognition and collaborators.

Harvard Innovation Labs
Harvard Medical School
MIT
Palm Beach ACO
Aledade
Doctor's ACO
National Healthcare Quality Council
VBCare
Harvard Innovation Labs
Harvard Medical School
MIT
Palm Beach ACO
Aledade
Doctor's ACO
National Healthcare Quality Council
VBCare

One place to govern healthcare AI.

Bring AI inventory, ownership, access, and review decisions together. Connect supported agents to inspect their activity and put scoped policies into action.

Agent Registry
An inventory of every AI agent.

Every AI tool and agent gets a registered identity, an accountable owner, a role and the exact scopes it may use. When someone asks which AI is running in your hospital and who owns it, the registry answers in one view.

Permission Checks
A check on every action, before it happens.

Before an agent reads a chart, drafts a message or writes an order, Skovos checks the action against its approved scopes. Anything out of scope is denied and recorded, so a read-only agent cannot write to the record.

Stop and Recall
A stop control your hospital owns.

Recall any agent in one step, without waiting on the vendor. Every later request from that agent is denied, and the recall is recorded with who made it and why.

Tamper-Evident Audit Trail
A record you can prove.

Every registration, decision and recall is written to a hash-chained log your organization keeps. Anyone can verify that the record has not been altered since it was written.

Signed Evidence
Proof for committees and auditors.

Export signed evidence of the controls that ran, with keyed commitments instead of patient data or agent names. Governance committees, auditors and accreditors get proof they can verify, not screenshots.

Governance in Plain Language
Govern from Claude or ChatGPT.

The Skovos Governance connector lets governance leads ask which agents touched vitals this week, or tell Skovos to stop the sepsis agent, in plain language. Patient identifiers are rejected at the door.

One Governance Overview

Agents, owners, scopes, denied actions and stops across the organization, in one place. Your AI governance committee sees what is running, what was blocked and what was stopped, without chasing each vendor.

Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.
Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.
Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.
Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.
Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.
Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.
Skovos connects EHR, identity, data, communication, applications, security, and AI models in one governance layer. Illustrative system categories.

THE PAID PILOT

Start with one workflow.
Leave with a clear next action.

After your assessment, choose a scoped, paid engagement for your health system. Agree the owner, access boundary, and policy question first. Then build the evidence for what to do next.

  1. 01 / SCOPE

    Bring one workflow.

    Start with a sample or sanitized example. Identify its agents, tools, data access, and accountable owner. No production integration is needed for the scoping session.

  2. 02 / REVIEW

    Get a useful first result.

    We aim to deliver an owner-validated access map and review packet within two business days of receiving the agreed inputs. Identify a prioritized gap—or confirm the reviewed boundary is sound.

  3. 03 / VERIFY

    Test a supported control.

    When a supported connection is ready, test an allowed and a denied action in a safe environment. Review the evidence, document open questions, and decide what to expand, fix, or stop.

Scope, fee, access dependencies, and acceptance criteria are agreed together. Timing is a delivery target, not a guarantee.

Discuss your workflow

Why health systems choose Skovos.

AI vendors build the models. Skovos gives your hospital the controls: who each agent is, what it may do, a record of what it did, and the power to stop it.

Controls Your Hospital Owns

Registration, permissions and the stop control sit with your hospital, not with each vendor. When something goes wrong at 2 a.m., your team can act without opening a ticket.

Female nurse in blue scrubs showing a tablet to a male doctor wearing a white coat in a clinical setting.

Start With One Workflow

You do not need to govern everything at once. Scope one workflow, map its agents, data access and owner, and test a real allow and deny before you expand.

Four diverse healthcare professionals gathered around a laptop, engaged in discussion.

Built for Healthcare

Scopes like read:vitals and write:orders, patient identifiers kept out of the record, and evidence your governance committee can review. Skovos is built for how hospitals actually approve and oversee AI.

Three healthcare professionals, including a man in a suit with a tablet and two women in medical attire, standing and smiling in a modern building.

Evidence, Not Screenshots

Every decision is chained and signed, so your committee, auditors and accreditors can verify that controls ran, and when, without trusting a dashboard.

Smiling male doctor wearing a white coat and stethoscope shaking hands with a patient in an office.

Controls Your Hospital Owns

Registration, permissions and the stop control sit with your hospital, not with each vendor. Your team can act without opening a ticket.

Healthcare executive defining AI strategy and roadmap

Start With One Workflow

Scope one workflow, map its agents and access, and test a real control before you expand.

Fast enterprise AI deployment delivering value in weeks

Built for Healthcare

Scopes like read:vitals and write:orders, PHI kept out of the record, and evidence your committee can review.

Multidisciplinary team collaborating on AI implementation

Evidence, Not Screenshots

Every decision is chained and signed, so auditors can verify that controls ran without trusting a dashboard.

Post-deployment performance monitoring and ROI tracking

The controls every AI agent should run under.

Skovos applies the same controls to every connected agent, whichever vendor built it.

Logged by Default

Every permission decision and recall is written to the audit trail with the agent, the action, the resource and the reason.

PHI Kept Out

Audit records that look like they contain patient identifiers are rejected, and evidence exports carry commitments, not patient data.

Scopes, Not Trust

Each agent gets explicit action-and-resource scopes, such as read:vitals or write:drafts. Anything outside them is denied.

People Stay in Charge

Clinical, compliance and IT leaders decide what each agent may do, and any of them can stop it.

Oversight That Keeps Running

Denied actions, stops and unusual activity show up in one overview, so a change in an agent's behavior gets noticed and acted on.

One View for the Committee

Agents, owners, scopes, denials and stops across the organization, in one place for your AI governance committee.

Let’s put your AI policies to work.

Start with one workflow, its access boundaries, and the decisions your team needs to make.

Recognized by leading research and innovation programs.

Harvard Innovation Labs
Harvard President's Innovation Challenge — Semifinalist
MIT × Mass General Brigham AI Cures
NVIDIA Inception