Common situation
- AI is used, but ownership and review points are unclear.
- Decisions are scattered across meetings, docs, and chat.
- Policies exist, but do not connect to daily routines.
- Teams move faster, but accountability becomes fuzzy over time.
Overview
Human–AI operating design for decision boundaries, logs, and governance for real operations.
We help organizations keep judgment, accountability, and security intact as AI becomes part of daily work.
We do not compete on tools, automation, or prompt techniques. We design the operational backbone around what teams already do — meetings, notes, documentation, chat, and decision-making — so outcomes remain explainable over time.
Decision boundariesDocumentation & logsExplainable decision trailsReview loops that last
This is a strategic overview in English. Detailed engagement options and package examples are available in Japanese.
What we solve — structure around AI in daily work
When AI enters everyday operations, what breaks first is rarely the model. It is ownership, decision trails, and review discipline. We design the smallest structure that keeps work clear and auditable — without turning teams into bureaucrats.
Desired state
- Clear lines: what AI may draft vs. what humans must decide.
- Meeting notes link to decisions and follow-ups in one flow.
- Audit- and handover-ready trails that stay readable months later.
- Lightweight review loops that keep governance alive and practical.
Who we work with — teams already using AI, but lacking structure
Most engagements begin after AI is already in use. What is missing is not capability, but clarity: where decisions live, who owns them, and how they are reviewed over time.
Executives & leadership
- Want AI benefits without increasing organizational risk.
- Need explainable decision trails for accountability.
- Struggle to align policy, reality, and responsibility.
IT, security, governance
- Policies exist but are disconnected from daily work.
- AI boundaries are ambiguous or inconsistently applied.
- Need audit-ready but practical documentation.
Product, engineering, research
- Decisions are scattered across meetings and chat.
- Context is lost during handovers or scaling.
- AI helps locally, but not systemically.
Cross-functional operators
- Meetings produce notes, but ownership fades.
- Repeated debates drain time and energy.
- Want calmer, more predictable routines.
What we deliver — operating models, not “automation projects”
Deliverables are written, explainable, and owned by your team. They survive handovers, audits, and scaling — without turning daily work into bureaucracy.
Decision architecture
- What AI may draft vs. what humans must decide.
- Review points, escalation, and exception handling.
- Clear ownership across roles.
Documentation & logs
- Meeting notes linked to decisions and follow-ups.
- Decision logs that stay readable months later.
- Templates adapted to your actual work.
Governance that works
- AI usage rules aligned with security and BCP.
- Review loops instead of static policies.
- “Safe to proceed” clarity for teams.
Default stance: design, decision, review. We do not provide staffing-style “work substitution” or ongoing operations outsourcing.
When implementation support is needed, we keep it light: templates, checklists, review points, and handoff-ready documentation.
Typical engagement path
- Spot: draw boundaries & define the next 2–4 weeks.
- Sprint: ship an initial operating model (templates + flow).
- Ongoing: evolve governance through real cases.
How to start
You do not need a full brief. One concrete example is enough.
Good starting inputs
- A recurring meeting where decisions keep resurfacing.
- AI usage that feels useful but unsafe or unclear.
- Documentation that no one fully trusts.
- A PoC that needs to become real operations.
What to include (minimal)
ContextWhat changed / why now
PainWhere accountability or time is being lost
ConstraintsSecurity, vendors, audit, operational limits
TimelineWhat must be decided in the next 2–6 weeks
If budget or bandwidth is limited, we can start with a Spot and leave a clear decision line + plan that your team can execute.