Services
Fragment Practice helps organizations clarify ambiguous issues around AI adoption, internal rules, security expectations, external services, and technology risk, then turn them into material that can be used for decisions, stakeholder explanation, review, operation, and handoff.
Support can begin as an initial structuring session, a decision-material sprint, or scoped advisory support. The work does not replace internal owners, implementation teams, legal judgment, assurance roles, or day-to-day operations. It helps teams clarify what should be decided, reviewed, explained, and carried forward.
Service model
AI, governance, and security work often mixes use cases, requirements, roles, and responsibility boundaries. Fragment Practice separates those issues into material that can be used for explanation, review, operation, and handoff.
Priority areas
Useful when the issue is real, but the decision criteria, review points, internal roles, stakeholder explanation, or next-step material are still unclear.
AI adoption / AI governance
Clarify use cases, input and output boundaries, human review, records, responsibility, and operating roles before AI use expands further.
Rules / requirements / governance
Structure internal rules, external requirements, guidelines, controls, review points, responsibility boundaries, and update cycles into practical material.
Security / technology risk
Translate security expectations, technology risks, evidence needs, stakeholder concerns, and practical constraints into reviewable next-step material.
Service menu
The final engagement shape does not need to be decided before the first conversation. Start with an initial structuring session, use a decision-material sprint when material is needed soon, or continue with scoped advisory support when review and interpretation needs keep returning.
Focused first step
Clarifies the issue, decision order, review points, and next actions when the situation is still too mixed to scope cleanly.
Price guide
From ¥150,000
Typically 1–2 sessions. Final scope is confirmed after review.
Best for
When the issue exists, but the decision point, review need, role boundary, or next move is still unclear.
Includes
Leaves behind
Bounded sprint
Creates usable material for a report, meeting, rule update, review, or handoff within a bounded period.
Price guide
From ¥800,000
Usually 2–6 weeks. Scoped by output, cadence, and involvement.
Best for
When a meeting, report, decision, review, rule update, or handoff needs usable material soon.
Includes
Leaves behind
Scoped advisory
Provides recurring review, interpretation, and judgment support without creating a full-time or always-on role.
Price guide
From ¥300,000/month
Typically a few days per month. Designed by cadence, review volume, response expectations, and responsibility boundaries.
Best for
When recurring review or advisory input is needed, but the scope and response expectations should stay bounded.
Includes
Leaves behind
Pricing guide
The prices shown are guides, not fixed packages. Final scope and fees are confirmed after reviewing the current issue, expected outputs, meeting cadence, review volume, stakeholders, response expectations, and responsibility boundaries.
Representative outputs
The work is designed to leave usable material behind: something people can use for management reporting, stakeholder explanation, decisions, review, operation, handoff, or the next phase of work.
Material for explaining current state, decision points, risks, options, and next actions.
Contains
Helps answer
Typical questions
Often used before management discussion, stakeholder explanation, planning, rollout, or handoff.
Material for clarifying AI use cases, input/output boundaries, human review, approval logic, records, and responsibility.
Contains
Helps answer
Typical questions
Often used when AI adoption needs to become reviewable, explainable, and workable.
Material for clarifying what AI, people, internal teams, external advisors, or vendors support, review, decide, or hand off.
Contains
Helps answer
Typical questions
Often used when AI adoption, business efficiency, or external support needs to become a practical operating model.
Material for connecting internal rules, external requirements, guidelines, controls, review points, responsibility, and update cycles.
Contains
Helps answer
Typical questions
Often used when rules, requirements, guidelines, or control expectations need to become internal discussion and operating material.
When this helps
This support fits moments where internal owners need clearer structure before AI use, governance updates, security response, stakeholder explanation, or advisory needs expand further.
Before expansion
Clarify use cases, input/output boundaries, review points, operating roles, and responsibility before adoption becomes difficult to govern.
Before reporting
Turn scattered concerns into decision points, options, risks, explanation material, and next steps.
Rules and requirements
Structure internal rules, requirements, guidelines, and control expectations into current-state gaps, response options, review points, and stakeholder material.
Recurring but scoped
Useful when review, interpretation, and explanation support is needed on a recurring basis without creating an undefined always-on role.
Fit and boundary
The support is not designed to replace implementation teams, resident PMs, legal judgment, audit assurance, certification, technical verification, or day-to-day operations. It focuses on making issues easier to decide, review, explain, operate, and hand off.
Good fit
The issue still needs clearer criteria, review logic, role design, sequencing, or management-facing material.
Good fit
Useful when AI adoption also involves data, routines, governance, education, internal rules, and stakeholder explanation.
Good fit
Useful when internal owners need to interpret requirements, update rules, define review points, or explain what should change.
Good fit
Useful when ongoing support is needed, but the cadence, review volume, response expectations, and responsibility boundaries can be defined.
Not the main focus
The work focuses on decision material, review points, role / operating design, responsibility boundaries, and stakeholder explanation.
How engagements begin
The support shape does not need to be fixed before the first conversation. Share what is moving, who needs to decide or review, what feels unclear, and what material may need to remain.
Step 1
Describe what is moving, who needs to decide or review, what feels mixed or unclear, and whether the need is one-time or recurring.
Step 2
Confirm whether the issue fits an initial structuring session, decision-material sprint, scoped advisory support, product kit, or another path.
Step 3
Clarify outputs, cadence, review volume, role, response expectations, and limits so the work does not drift into undefined execution support.
Next step
Use an Initial structuring session when the issue needs its first clear shape. Use a Decision-material sprint when a report, meeting, rule update, or handoff needs usable material soon. Use Scoped advisory support when recurring review and interpretation are needed without replacing internal owners.
