Compliance and AI governance executive building evidence-first systems for regulated work.

20+ years in regulated healthcare · zero-finding CMS audit work · $1.4M client impact · Founder, grAIce Tech — AI with a soul

Compliance is about winning hearts and minds.

I turn regulatory complexity into systems that agents can use and humans can audit. My work focuses on evidence, provenance, review gates, and operational clarity—especially where AI touches regulated decisions.

A sourced assessment framework and local scanner for identifying model origin, data-path exposure, unsafe file formats, and practical controls.

Proof: local, read-only scanner · explicit limitations · source standards · regulated-mode thresholds

A local, single-file dashboard for tracking AI-assisted requests, deliverables, status, artifacts, and handoffs across sessions.

Proof: no server, database, account, framework, or build step · searchable · editable notes · Markdown export

A Claude skill that generates auth.md specifications and implementation checklists for applications that need governed agent access.

Proof: scoped-credential guidance · protocol references · security checklist · evaluation cases

• prompt-coach — adds one brief, contextual prompting improvement after substantive Claude requests.
• shiplog-widget — records session deliverables and renders a concise recap across Claude surfaces.

Trust is an operating requirement, not a marketing line. I separate claims from evidence, keep human approval gates explicit, and design systems that leave an audit trail.

My background spans Medicare Part D, MA-PD, CMS audits, formulary governance, audit readiness, and regulatory operations.

grAIce Tech — AI with a soul · LinkedIn · Email