The Problem
Your team wants to use AI — summarizing tickets, drafting reports, automating workflows — but your security and legal teams (rightly) won't approve anything that sends customer data to an LLM provider. So AI projects stall or happen as shadow IT.
What I Do
I design AI architectures where language models and agents operate on inference-only access patterns. They can read structured outputs, generate recommendations, and orchestrate workflows — but they never touch raw PII, customer records, or regulated data. I build the data boundaries, audit trails, and access controls that let your security team say yes.
Deliverables
AI governance architecture, data boundary design, MCP server configuration for agent-orchestrated workflows, compliance documentation (CPRA/GDPR alignment), and implementation. Assessment phase: 3–4 weeks. Full deployment: 8–16 weeks.
Who This Is For
Companies in regulated industries (finance, healthcare, CPG) or any organization with strict data governance that wants AI capabilities without compliance risk. Particularly relevant if you've already had AI proposals rejected by security.