AI STRATEGY & CONSULTING
Roadmaps, vendor selection, and a practical path from proof-of-concept to production — aligned with your risk tolerance.
Engagement
Overview
Not every problem needs a large language model. We help leadership teams prioritize use cases, estimate ROI, choose build-vs-buy options, and set governance before major spend.
What we build
AI roadmap & prioritization
Vendor & build evaluation
PoC design & execution
01 · Scope
Not every problem needs a large language model. We help leadership teams prioritize use cases, estimate ROI, choose build-vs-buy options, and set governance before major spend.
AI roadmap & prioritization
Score initiatives by value, feasibility, and data readiness; sequence quick wins and platform bets.
Vendor & build evaluation
Compare platforms, APIs, and partners against your security and integration requirements.
PoC design & execution
Scope focused pilots with clear success criteria and executive readouts.
AI governance framework
Policies for data use, model approval, monitoring, and responsible AI practices.
Typical stack
02 · System blueprint
A production path from the current process to a workflow your team can operate.
01
Workshops with business and IT to surface opportunities and constraints.
02
Build a phased roadmap with budgets, timelines, and ownership.
03
Run one or two high-signal pilots; capture learnings and ROI signals.
04
Expand what works; institutionalize governance and operating models.
03 · Impact
The problem
Leadership has a list of AI ideas and no shared view of value, data readiness, or risk — so spend starts in the wrong place.
The solution we install
A prioritized roadmap, honest build-versus-buy calls, and a pilot with success criteria before a wider rollout.
Movement we target
Focus
A long idea listA sequenced roadmap
Spend
Tool-first purchasesUse-case-first pilots
Risk
Assumed laterNamed before build
04 · Use cases
Give leadership a shared view of where AI fits — and where it does not.
05 · Methodology
Four phases from discovery to kaizen — scoped to your systems, not a generic week-count.
Map the problem and the state of your data.
A small proof-of-concept validates real value.
Integrated into your existing systems, into production.
Continuous improvement, guided by real operating data.
06 · Frequently asked
A short discovery conversation is enough to map the problem, the systems involved, and whether a pilot or a fuller build is the right first step.
Yes. We integrate into ERP, CRM, and internal apps you already operate — the point is a workflow your team keeps, not a disconnected demo.
Yes. Consulting, coordination, and handover run in Japanese and English.
The production workflow, the integration points, and the operating view your team uses day to day — with documentation and a kaizen path after go-live.