MAMI THEORY01

MAMI Theory — the Meta-Architecture of Mind and Invisibility

MAMI Theory is the developing research perspective created and published by Mami, a Tokyo-based independent researcher. It examines how institutions and technologies shape what becomes visible, what can be evidenced, and who is able to act.

Research-led.
Public-facing.
Applied carefully.
Internationally connected.

WHAT MAMI IS

MAMI is an independent research and advisory practice led by Mami. It is not a university, public authority, certification body, or staffed institute. The name “MAMI Theory” identifies the research perspective and the public work built around it.

Understand the structure of MAMI

ONE INDEPENDENT PRACTICE · THREE CONNECTED DIVISIONS

BUSINESS / ADVISORY · CORE CAPABILITY

Make consequential decisions more reconstructable.

MAMI provides bounded, written reviews of how evidence, human review, escalation, and responsibility are organized in a defined institutional or AI-assisted workflow.

Current market test: AI-Assisted Claims Decision Readiness Review · USD 3,750 fixed fee · 7 business days.

No production-system access · No claimant data · No confidential documents at the initial inquiry stage.

Request a Readiness Review

INPUT REVIEW ESCALATION RESPONSIBILITY

FORClaims operations leadersMGA · program administrator · specialty insurer · claims TPA
WHAT YOU GETFour written outputsFinding · scorecard · gap table · next step
START SAFELYShort non-confidential inquiryNo production access or claimant data

PLAINLY STATED

The current offer is a market test, not the whole identity of MAMI. It is not a formal audit, legal opinion, model validation, compliance certification, or implementation project. It is a bounded external starting point for understanding one workflow before a review, governance discussion, or operational decision.

See the deliverables and illustrative specimens

LATEST PUBLICATIONS

View all publications →
01

Structural invisibility

How systems produce, retain, or erase forms of information that do not fit their established categories and timings.

02

AI and human review

How evidence, professional judgment, exceptions, and final responsibility are organized around AI-supported decisions.

03

Architectural responsibility

How ethical questions can be examined at the level of institutional and epistemic design—not only individual intention.