We design the operating model, embed the process, and hand it back to your team.
From Tokyo. To Taipei. To Singapore. To the world.
Most firms manage your project from the outside, then leave with the know-how.
We design an operating model your team can run, teach your people to run it, and hand ownership back.
We start from what "healthy" looks like for your projects — then design the metrics, cadence, and governance that make it visible in real time.
We work alongside your team, run the model with them for one cycle, then step back. The muscle memory stays with you.
Every service line is designed to work with AI from day one — for anomaly detection, decision support, and workflow acceleration.
Our practice is organized under two disciplines: keeping the projects you have on track, and optimizing the way you deliver at scale.
Make health visible in real terms.
Move from "status colors" to a shared operating picture of quality, cost, and delivery. Design the KPIs, thresholds, and cadence that let leaders act early.
Diagnose. Stabilize. Restart velocity.
When a project is off track, we perform a structured diagnostic across scope, team, vendors, and technical risk — then design and lead the recovery plan.
A PMO leaders actually use.
Design the PMO structure, portfolio governance, and reporting rhythm that fits your organization — from stand-up to steady state, with clear ownership handover.
Vendor management as a source of value.
Restructure your vendor portfolio, contracts, and performance monitoring so that cost, quality, and delivery align with strategy — not with the last surprise.
Powered by our patented test generation.
Design end-to-end quality governance — from requirements traceability to test strategy — accelerated by our patented automated test case generation (JP Patent No. 6961218).
From PoC theater to production AI.
Break the PoC loop. We design the QCD framework for AI portfolios, embed AI-driven acceleration into development (code review, incident analysis, test generation), and build the operating model that keeps AI in production.
Anonymized examples from our engagement portfolio. Each represents a large, multi-year, multi-stakeholder transformation.
A car-electronics OEM commissioned MTS to operationalize AI-driven development. We designed the process, tooling, and quality gates so that GitHub Copilot delivered a 5× productivity lift from design through unit test — not in a lab, but in the delivery organization.
A commercial retail conglomerate needed to bring development in-house. We stood up an AI-driven development capability built around Claude Code with custom Agents and Skills — collapsing a traditional five-person-month scope into five person-days of delivery.
A SaaS platform vendor was drowning in post-release incidents. We embedded incident-analysis AI, an automated test-case generation engine (backed by our patented method), and a code-review AI into the release pipeline — turning quality into a leading indicator.
A consumer finance operator embarked on a large-scale interface renewal. In 90 days, we produced the full plan — scope, test, migration, cutover — and led progress governance from requirements definition through production. Multi-vendor, multi-year, on schedule.
A major automotive electronics group had a PMO in name only — reports were written, but decisions were still made blind. We rebuilt the operating model around QCD signals, transforming the PMO from a reporting function into an executive decision-support capability.
A car-navigation development program spanning roughly 30 function groups. We defined the QCD data model, stood up the collection pipeline, and delivered a real-time dashboard covering quality, progress, and cost. Executives could see where problems were forming — and act on them — the same day.
We combine the discipline of Japanese project execution with the agility and scale expected of global consulting — and we specialize in the parts most firms cannot deliver.
Our founder and consultants come from delivery seats, not just advisory. We stay on site until the model runs itself.
Not a separate AI practice bolted on. AI is embedded in how we run every project management engagement.
Our founder led global delivery at a Tier-1 systems integrator before starting MTS. Global-scale discipline, entrepreneurial speed.
Our philosophy: leave the muscle memory in your team, not the dependency on us. Build capability that outlives the engagement.
Recognized frameworks, formal certifications, and proprietary IP — the substrate under every engagement.
Project Management × AI
M.T.Strategy Inc. was founded in Tokyo with a specific belief: that project delivery discipline — the kind that the world's Tier-1 systems integrators built through decades of large-scale programs — can be codified, taught, and left behind in a client's organization.
Since then we have operated as a boutique specializing in the intersection of Project Management and AI — running engagements from independent government agencies at 30,000 person-months, to global SIers, to automotive electronics leaders.
Our next chapter begins in Taiwan and Singapore: proving that Japanese delivery discipline, combined with AI-driven acceleration, is a service pattern the world can use.
Tell us the situation. We will come prepared with a hypothesis, not a boilerplate deck. Available in English, Japanese, and Traditional Chinese.