cabrilloclub.com

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{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"What does an AI implementation engagement look like?","acceptedAnswer":{"@type":"Answer","text":"It starts with a founder-led assessment of your operations, data, and compliance requirements — not a sales deck. From there we implement module by module: automating one workflow at a time on your sovereign infrastructure, validating each one in production before moving to the next, so you never take on more risk than you can audit."}},{"@type":"Question","name":"Is our data used to train models?","acceptedAnswer":{"@type":"Answer","text":"No. Your data runs inside your own sovereign boundary — on infrastructure it never leaves — and is never used to train or fine-tune any model, ours or a vendor’s. Every workflow is built to be observable and auditable end to end, so you can show exactly where your data lives at every step."}},{"@type":"Question","name":"What does CMMC 2.0 mean for AI tools?","acceptedAnswer":{"@type":"Answer","text":"Under CMMC 2.0, Controlled Unclassified Information (CUI) cannot be processed by commercial multi-tenant LLMs or SaaS AI tools without exposing you to assessment failure. We build and run AI inside your compliance boundary instead, so the same workflow automation that saves you time also holds up under a C3PAO audit."}},{"@type":"Question","name":"Do you work with non-defense companies?","acceptedAnswer":{"@type":"Answer","text":"Yes. While our first engagement and proof point is a defense contractor under CMMC 2.0, the same sovereign-infrastructure approach applies to any regulated business — healthcare, finance, legal, and other operators — that needs AI workflow automation with a real audit trail and data that never leaves their environment."}}]}