Building human-in-the-middle AI infrastructure for regulated industries where decisions must withstand audits, compliance reviews, and legal scrutiny.
- Designed structured workflows where AI drafts, extracts, and accelerates while humans review, validate, and approve.
- Built governance patterns for logged, versioned, and reconstructable AI actions.
- Engineered agent-style workflows with tool boundaries, human approval gates, audit evidence, and escalation paths.
- Led architecture, enterprise AI governance, workflow engineering, compliance alignment, and client implementation.
- Focused HaloBridge on a clear operating rule: if an AI decision cannot be reconstructed, it should not be deployed.