Prairie LabsAI employees
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Security & control

Autonomy should have edges.

Prairie Labs designs access, approvals, records, escalation, retention, and revocation around the job. Your AI employees get only what their role needs, people keep authority over the decisions that matter, and important actions leave a record.

Exact controls depend on the deployment and are documented during scoping. We do not claim certifications, universal integration coverage, perfect security, or fully local processing without verifying the complete architecture.

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Core controls

Least privilege, human authority, and a clear stop.

Every control is designed around the job an AI employee does, and documented before it goes live.

01 Least privilege

The AI employee receives only the accounts, data, tools, and actions its role requires. Different employees can see different views of shared knowledge.

02 Risk-based approval

Low-risk reversible work can run automatically. Sensitive messages, financial action, irreversible change, and unusual requests can require a person.

03 Traceable work

Important actions create records that support review, correction, incident investigation, and improvement.

04 Retention with purpose

Selective memory is configured to support the role. Access, correction, deletion, and retention matter alongside recall.

05 Humans handle exceptions

Ambiguous, out-of-policy, high-impact, or unsupported requests move to an accountable person instead of forcing an answer.

06 Stop is a feature

Credentials, schedules, integrations, and automations can be paused or removed when the job, risk, or business changes.

Deployment choice

Cloud or on premises, scoped honestly.

Physical location is only one part of data residency. Models, SaaS systems, communication providers, logs, backups, telemetry, and support paths also matter.

FAQ

Shared responsibility, answered.

Who manages what, and what we will and will not claim.

01What does Prairie Labs manage?

The configured environment, automations, approved integrations, monitoring, maintenance, role changes, and guardrail improvements described in the engagement.

02What do customers decide?

The job, authoritative source material, authorized users, data classification, approval owners, legal obligations, and the business decisions that remain human.

03What do we handle together?

We review exceptions, changing workflows, access needs, and evidence so the deployment stays aligned with the business.

04Does on premises mean no data touches the cloud?

Not automatically. A dedicated computer or server at your location gives tighter physical control, but models, SaaS systems, communication providers, logs, backups, telemetry, and support paths also matter. We map the complete architecture before making any residency commitment, and truly local or air-gapped behavior is stated only in a scoped proposal when verified.

05Do you claim security certifications?

Not without verification. We do not claim certifications, universal integration coverage, perfect security, or fully local processing without verifying the complete architecture for your deployment.

06Can we stop an AI employee?

Yes. Credentials, schedules, integrations, and automations can be paused or removed, and people keep authority over permissions, approvals, and shutdowns.