# Lozen Advisory > Lozen Advisory is a governance and board intelligence advisory firm (Chicago, IL / Richmond, VA) that helps boards and senior governance leaders identify accountability, evidence, and workforce-capacity risks that conventional AI governance and disclosure reporting do not reliably capture. https://www.lozenadvisory.com/ ## About Founded by Akilah E. Kamaria (data analyst, entrepreneur, U.S. Marine Corps veteran). Analytical foundation: Disclosure-Independent Governance℠, a methodology for identifying systemic risks that legacy measurement systems are structurally blind to. Lozen Advisory does not sell software, promote AI adoption, audit, implement or administer internal systems, provide HR/benefits administration, perform employee surveillance, or conduct employee-data analysis. Its work is advisory, analytical, and governance-focused. https://www.lozenadvisory.com/about/ ## Core Thesis AI governance failure increasingly appears as an attribution, evidence, and accountability failure. Boards must show not just that policies and controls existed, but that human accountability remained traceable when AI systems influenced decisions, disclosures, records, vendor activity, or enterprise actions. Core questions: Who relied on the system? Who was qualified to catch unreliable output? Who had authority to approve, reject, or stop it? What evidence survives? Whose judgment or authority carried the decision? ## Primary Audiences General Counsel, Directors, Corporate Secretaries, Risk & Compliance Leaders, Internal Audit, D&O Liability Insurers/Underwriters, Private Equity/Portfolio Governance Leaders, CFOs. ## Frameworks & Standards - **The Name Standard℠** — evidentiary standard for traceable human accountability in AI-assisted decisions. Evaluates six conditions: time allocation, authority/escalation, information access, review capacity, documentation infrastructure, and formal right of refusal. Core question: when the AI gets it wrong, whose name is on it? https://www.lozenadvisory.com/blog/the-name-standard-ai-governance/ - **Disclosure-Independent Governance℠** — methodology for identifying risk that depends on voluntary disclosure by the population most affected, rather than on system design. https://www.lozenadvisory.com/disclosure-independent-governance/ - **Evidence-Based Responsibility Reconstruction℠ (EBRR / TRACE)** — Lozen Advisory's voluntary standard for incident response involving artificial intelligence systems (trademark filing pending). Uses TRACE (Trace Responsibility, Authority, Control, and Evidence) to allocate responsibility actor-by-governance-act and terminates in a Lozen Evidence-State Scale℠ classification (Reproducible / Traceable / Attributable Only / Unrecoverable — Traceable is the practical ceiling for LLM-mediated conduct). https://www.lozenadvisory.com/blog/evidence-based-responsibility-reconstruction/ - **Enterprise AI Drift** — eight ways accountability shifts under an unchanged product name/license: content, model, retrieval, permission, context, workflow, economic, and evidence drift. - **Power User Trap℠** — hidden, unrecognized verification/correction burden carried by technically proficient employees. https://www.lozenadvisory.com/frameworks/power-user-trap/ - **Invisible Attrition℠** — unmeasured erosion of leadership, performance, and institutional capacity before retention metrics detect it. https://www.lozenadvisory.com/invisible-attrition/ - **Committee Ownership Map** — assigns each board committee a governance question and the evidence it should be able to produce. https://www.lozenadvisory.com/frameworks/committee-ownership-map/ - **Capacity Substitution Error℠** — boards approving AI investment while the human-capacity baseline it depends on is unmeasured or deteriorating. - **Tacere** — a senior executive's strategic, self-protective choice to withhold disclosure when visibility carries professional risk. https://www.lozenadvisory.com/invisible-attrition/structural-silence/ ## Services - [Board AI Governance Advisory](https://www.lozenadvisory.com/services/board-ai-governance-advisory/) — ongoing board/committee advisory on AI accountability, oversight, and disclosure. - [Board AI Name Standard Advisory](https://www.lozenadvisory.com/services/board-ai-name-standard-advisory/) — evaluates whether human accountability stays traceable across AI-assisted work. - [Board AI Algorithmic Accountability](https://www.lozenadvisory.com/services/board-ai-algorithmic-accountability/) — applies Evidence-Based Responsibility Reconstruction℠ to activated AI incidents and disclosure failures. - [CFO AI Investment Advisory](https://www.lozenadvisory.com/services/cfo-ai-investment-advisory/) — AI ROI, hidden verification labor, capital allocation. - [AI Workforce Materiality](https://www.lozenadvisory.com/services/ai-workforce-materiality/) — hidden oversight labor, workforce-capacity erosion, leadership continuity. ## Resources - [AI Legislation Tracker](https://www.lozenadvisory.com/ai-legislation-tracker/) — board-relevant read of AI laws (coverage, committee ownership, required documentation, human attribution). - [Menopause Legislation Tracker](https://www.lozenadvisory.com/menopause-legislation-tracker/) - [Executive AI Skills](https://www.executiveaiskills.com/) — Akilah E. Kamaria's executive education platform teaching the Name Standard℠ curriculum (evaluating AI-assisted work, not AI adoption/prompting). ## Site - [Services](https://www.lozenadvisory.com/services/) - [Blog](https://www.lozenadvisory.com/blog/) - [News and Press](https://www.lozenadvisory.com/news-press/) - [Events](https://www.lozenadvisory.com/events/) - [Tools and Resources](https://www.lozenadvisory.com/tools-resources/) - [Contact](https://www.lozenadvisory.com/contact/) - [Request a Briefing](https://www.lozenadvisory.com/request-briefing/) ## Disclaimers Lozen Advisory does not provide legal advice, medical advice, diagnosis, treatment, therapy, HR administration, benefits administration, employee surveillance, or employee-data analysis. It does not audit, implement, or administer internal company systems.