Deployment architecture
Choose a managed enterprise workspace, private-cloud deployment, or isolated self-hosted components according to the approved risk and operating boundary.
Private AI Operations
Put AI to work without losing control of your data.
Storrow Labs designs and implements governed AI environments for organizations handling sensitive business information. We configure the operating boundary, connect approved knowledge, train the team, and launch the first controlled workflow.
Managed workspace · Private cloud · Business knowledge · Governance · Administration · Training
The operating boundary
“Private” means defined controls—not a vague security promise.
Identity & administration
Define users, roles, permissions, retention, approved connectors, logging, ownership, and the procedures administrators need to operate the environment.
Business knowledge
Connect approved documents, databases, CRM, ERP, and internal systems through permission-aware retrieval and integration.
Governed workflow
Implement one useful workflow with evaluation criteria, human approval points, failure handling, and a clear path to production.
Training & transfer
Train each role on approved use, data handling, review expectations, escalation, and the operating model the client will own.
What transfers
A working system and the controls required to run it.
- AI-use and sensitive-data inventory
- Deployment and data-flow architecture
- Access, retention, connector, and logging controls
- One evaluated workflow with human review
- Acceptable-use guidance and administrator runbook
- Role-based training and an expansion roadmap
Storrow Labs designs and implements client-approved controls. We do not guarantee that a technology or environment is universally secure or compliant, and we do not replace the client's legal, security, compliance, or professional judgment.
Choose the first controlled workflow.
Start with the data, users, and decisions that need a safer operating model.