Evidence Snapshot
For teams and independent professionals asking what a defined set of documents establishes about one focused question.
View service details →I help research, procurement, and assurance teams trace what the documentary record establishes about a decision, how evidence connects to action, and which important questions remain unresolved.
Tokyo-based · Remote, written, and asynchronous.
RESEARCH SERVICES
Scope, delivery timing, and terms are confirmed in writing before work begins.
For teams and independent professionals asking what a defined set of documents establishes about one focused question.
View service details →For procurement teams and contract owners tracing requirements, roles, evidence duties, and handovers across a record.
View service details →For governance and research teams examining what the record shows about evidence, human review, escalation, and responsibility in an AI-assisted decision.
View service details →For organizations and research teams with recurring documentary questions that need ongoing source tracking and written synthesis.
View service details →PUBLIC DEMONSTRATION
An independent public-source demonstration, clearly labeled as not commissioned client work.
RESEARCH AND PRACTICE
MAMI Theory is a developing research perspective on how systems make information visible, retain it, and use it in decisions. The independent research practice applies that documentary focus to defined questions in procurement, policy, and AI-supported decision-making. Paid engagements do not, by themselves, validate the theory.
MAMI Theory is independently operated by Mami. It is not a university, public authority, certification body, or staffed institute.
LATEST PUBLICATIONS
View all publications →Toward a Meta-Architecture of Mind and Invisibility in Disability, Education, and AI Ethics
M01PROPOSED HEURISTICA Proposed Analytic Heuristic for Examining Structural Invisibility
M02CANDIDATE FORMALIZATIONAn Unvalidated Candidate Formalization for Examining Information Retention
M03NORMATIVE PROPOSALResponsibility at the Level of Epistemic and Institutional Design
M04How systems produce, retain, or erase forms of information that do not fit their established categories and timings.
How evidence, professional judgment, exceptions, and final responsibility are organized around AI-supported decisions.
How ethical questions can be examined at the level of institutional and epistemic design—not only individual intention.
A RESEARCH QUESTION TO SCOPE?
Include the organization, question, approximate scope, and desired timeline. No obligation is created by an inquiry.