Privacy-First AI Operations Architecture
problem
Client wanted the speed of cloud AI tools, but sensitive files could not be copied into multiple AI platforms.
built
A local-first architecture. Client data stayed in a controlled private environment, while GitHub held approved SOPs, workflows, agent instructions and operating knowledge.
result
One operating model for people and AI — less repeated briefing, more consistent instructions, less data movement between platforms.