Deploying local AI for secure agencies

Local AI deployments give agencies full control over data residency, access policies, and sensitive information handling.

Start with a clear data inventory, then define governance workflows before selecting models or orchestration tools.

Wesky connects secure data sources while maintaining audit trails for every response and action.

Step one is scope: identify which data classes can be used for AI, who owns them, and which teams need access. Step two is policy: define what queries are allowed, which outputs require review, and how to log every interaction.

Step three is infrastructure: run models in your environment, route queries through a governance layer, and use retrieval so answers are grounded in approved sources. This is where local AI provides a major advantage over public platforms.

Finally, track outcomes. Measure adoption, accuracy, and turnaround times for mission workflows so leadership can see measurable ROI.

Wesky is designed to support these steps with role-based access, private connectors, and compliance-ready logging from day one.

Reference: Data sovereignty (Wikipedia).