AI Governance · Security Governance · Technology Risk

Clear decisions. Work that holds together.

Independent advisory on AI use rules, security requirements, and technology proposals. We connect technical, business and control questions, and turn them into decision criteria, responsibility boundaries and material your team can use.

Perspectives

The thinking behind the work.

Complexity, responsibility, and work with AI. Published essays and notes that start from practical questions.

All perspectives

Who Is Responsible for Reducing Complexity?

Organizations have ways to approve new systems and controls. The authority to reconsider them can be harder to locate. A perspective on operational complexity, the burdens carried across decisions, and the conditions that make simplification possible.

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When AI Can Do More, What Should Count as Progress?

A first Waymo ride and OpenAI DevDay 2026 brought two parts of my practice together: supporting decisions in banks and manufacturers, and designing AI delegation in a one-person firm. Both ask how to make judgment, responsibility and execution explicit, recognize the limits, and leave people with less work to carry.

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Faster Tasks Do Not Mean the Work Moves On

AI can produce minutes and drafts immediately, but if people still connect the judgment, verification, records, and handoff every time, the way the work as a whole moves changes very little. This Practice Note reframes maturity in AI use around whether work reaches its next step without a person reconnecting it.

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Approach

What remains after the conversation.

We build a shared understanding, frame the decisions, and prepare material for the people taking the work forward. The scope is agreed together.

Approach and deliverables
Decision material
The decisions, options, risks and questions that remain open.
Requirements & review points
Criteria for comparing policies and proposals, and checking the next design.
Responsibility & roles
Who decides, who acts, and where the work is reviewed.

Practice

Grounded in practice.

See work and deliverables

Financial institution

Governance for expanding generative AI use

Organised, use by use, the information handled, how output is used, human review, and approval and records — and combined system controls with rule-based operation into one approach to control.

Systems integrator

Viability conditions for an AI-enabled security monitoring service

Compared product-led, platform-extension and AI-SOC models, evaluated on cost acceptability, operational transparency, speed to launch, staged scalability, and low dependence on any one vendor.

Founder and practice

Yasuhiro Shinsho worked at BIPROGY, KPMG Consulting, and Nomura Research Institute / NRI Secure Technologies before becoming independent in October 2025. Based in Takamatsu, Japan.

Advisory

The right involvement, within an agreed scope.

Engagement formats and fees

An initial session, a decision-material sprint, or recurring advice. Outputs, cadence and review scope are agreed. Decisions, implementation and operations stay with your organization.

Decision-material sprint

When a meeting, report, rule update, or handoff needs material soon.

From ¥1,200,000

Excl. tax · 2–6 weeks

Scoped advisory support

When important decisions keep coming and you want an expert at the key points.

From ¥600,000 / month

Excl. tax · Monthly or biweekly cadence

Contact

Start with what needs deciding.

Your situation and the decision ahead are enough to begin. A few lines will do.