Capability lane

Regulatory strategy & compliance engineering

Policy as competitive infrastructure — EPR rulemaking, claim defensibility, and AI governance.

Regulation is often the schedule and the moat — whether the topic is extended producer responsibility for packaging, GDPR/CCPA for a data platform, or emerging AI governance for model deployments. I work from primary sources and connect them to product, pricing, evidence, and engineering so compliance creates commercial advantage.

What you get

  • ▸Primary-source analysis and public rulemaking testimony (e.g., California EPR packaging policy)
  • ▸Disclosure-grade analytics infrastructure (automated claim validation, evidence bundles, lineage)
  • ▸Compliance engineering, AI governance, and privacy protocols: data flows, model cards, and operable audit trails
  • ▸Procurement-ready documentation paths aligned to enterprise buyer questionnaires and regulatory audits
  • ▸Early identification of binary regulatory gates before capital or product line commitments

Example work

  • EcoMetrics (TCO Decision Engine)

    Techno-economic & climate intelligence: ground-up Total Cost of Ownership (TCO) calculator and environmental claim validation across 75+ SKUs. dbt pipeline with 105+ data quality tests, DuckDB analytics, Streamlit dashboards — transaction-level margin logic, monthly aggregation models, multi-company architecture.

Related

Resources & glossary →About — regulatory timeline →Providence (in development) — provenance for AI training data →

Start a conversation

Selective conversations with founders, operators, and diligence teams. Mention regulatory strategy, EPR compliance, or AI governance in your note so we can route quickly.

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