Map the boundary
Identify the users, sources, models, and deployment constraints around the workflow.
For sensitive work
Evaluate private AI with explicit controls around models, credentials, knowledge, access, and where the system runs.
Plan a focused pilotThe operating reality
A regulated team needs more than a security page. It needs a concrete view of what people can use, what context is available, and where each part of the system runs.
PII and private data
Regulated-team workflows can involve customer records, financial data, compliance material, internal controls, audit evidence, confidential documents, or operational records. Those workflows are best evaluated with a local-first model setup where sensitive regulated context can stay on infrastructure you control.
Msty supports that pattern with Studio, Stack, and Nexus: a private workspace for the work, governed knowledge for the context, and a local gateway for models, credentials, routing, and visibility. Hosted models can still have a place, but sensitive work should be routed intentionally.
Work in a private AI workspace where teams can use local models, files, prompts, and Knowledge Stacks together.
Msty StackPackage approved internal sources into governed knowledge that AI workflows can retrieve without rebuilding context every time.
Msty NexusRoute requests through a local AI control center for model access, credentials, routing, and usage visibility.
Keep the first workflow narrow enough to evaluate, but real enough to matter.
Identify the users, sources, models, and deployment constraints around the workflow.
Set access, model, feature, and storage choices for the pilot.
Evaluate the workflow and administrative trail before increasing the scope.
What good looks like
Tell us about the workflow and boundary around it. We’ll help scope a practical first step.
Plan an enterprise pilot