AI that stays inside your walls.
Local AI is for teams that want the leverage of AI without handing sensitive inputs to third-party systems by default. Pair it with governance so outputs are consistent, reviewable, and safe to operationalize.
Who this is for
Compliance pressure
You need tighter control over what leaves your environment and who can access outputs.
Confidential inputs
Sales, ops, legal, HR, support — anything that touches real people and real data.
Standardization
You want a repeatable way to deploy AI across roles without chaos.
What Local AI changes
Where data lives
Local-first reduces default exposure. You choose what goes out — not the tool.
How outputs behave
With governance, teams get consistent formats and decision hygiene, not random text.
How work transfers
Standards make AI usage trainable, auditable, and easier to maintain as teams grow.
Local AI helps with control. Governance helps with trust. You want both.
The safe deployment path
Set non-negotiables first
- Define what can never be entered into AI
- Define output formats your org will accept
- Define how assumptions must be labeled
- Define who reviews what before shipping
AI Blueprint™ (Business) is the standard.
Choose where inference runs
- Local workstation for individual roles
- Shared internal machine for a small team
- Controlled environment for broader deployment
- Clear rules for when cloud tools are permitted
Governance anchors
Routing
Local AI is a deployment choice. Blueprint is the standard. Start with governance, then decide how to run it.