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How we work

Work

We either build the AI system inside your team, or train your team to build it themselves.

Our process

Build

A practical sequence: discover what matters, ship quickly, iterate on real data, and transfer cleanly.

01

Discover

1-2 weeks

Our proprietary AI system analyzes your operations from day one, drawing on patterns from 30+ engagements to surface the highest-value opportunities.

You get: a ranked opportunity map with ROI estimates

02

Ship

2-4 weeks

We ship a working prototype in 2-4 weeks using AI-native development. Our proprietary toolchain accelerates build cycles so you see results before most teams finish planning.

You get: a production system integrated with your tools

03

Iterate

2+ months

AI-powered monitoring feeds live usage data back into the system. Updates ship continuously — your team sees improvements without waiting for the next sprint.

You get: automated monitoring with AI-driven improvement cycles

04

Transfer

Ongoing

Documentation, training, and clean source handoff. Your team can run it without us.

You get: runbooks, recorded training, and full source access

Why Tsubasa

Not a consultancy. Not a dev shop.

Strategy firms diagnose but often don't build. Dev shops build but don't understand the business problem. We do both, using proprietary AI tooling that compresses months of work into weeks.

  • Proprietary AI-accelerated development process
  • Strategy depth with hands-on build capability
  • Full ownership transfer, not vendor lock-in

Management Consulting

Strategy-focused, often don't build

Tsubasa

Strategy + build + transfer

—

Freelancers / Dev Shops

Build-only

Technical Implementation

Selected work

Fractional AI Executive

Modeling cycle days to hours.

Deep Research Agent Workflow

Teams shortened initial analysis cycles while preserving citation traceability.

See all case studies

Engagement models

How we work together

Three ways to engage — shaped around your stage, scope, and team structure. All include documentation, training, and a clean handoff.

Fixed scope

Sprint

Prototype in 2-4 weeks, production in 6-8. Clear scope, fixed timeline, full source handoff. You own everything we build.

Ongoing

Retainer

Ongoing AI work with dedicated monthly capacity. Predictable budget and priority access to our team.

Team integration

Embedded

We join your team, or your consulting partner's team, and build inside your operating rhythm until the system is yours.

Every engagement includes documentation, training, and a clean handoff so your team can operate independently. For larger initiatives, we scale through a vetted network of specialist AI engineers.

See our case studies

We work best with

  • Growing teams with a painful operational problem to solve
  • Leaders who want to ship, not just strategize
  • Organizations building practical in-house AI capability
  • Teams with internal owners who need senior AI build depth to move faster
  • Companies that need interim AI build leadership before a full-time hire

Probably not the right fit if

  • You need a 200-person on-site consulting team
  • You want deck output with no implementation
  • You're not ready to assign operational ownership

Workshop

AI capability is accelerating faster than enterprise adoption. We close the gap with applied training grounded in the latest tools and industry practice.

Background

Hands-on AI training for teams across industries, from Fortune 500 leadership offsites to cross-functional rollouts at mid-market companies. Grounded in real implementation patterns from 30+ engagements. Our co-founder serves as Senior Advisor at the Digital Data Design Institute (D3) at Harvard, bringing an applied practitioner lens and rigorous research methodology to every program.

2,000+

professionals trained

20+

executive workshops delivered

D^3 Institute at Harvard

Large-scale programs in collaboration with D3

Module 01

AI landscape and what matters now

Which tools are production-ready, which are hype. Covers reasoning models, deep research, agentic workflows, and the rapid shifts teams need to keep pace with.

Module 02

Use cases and adoption mapping

Real-world use cases from our 30+ engagements across industries. Teams map their own operations to proven patterns and leave with a practical adoption plan.

Module 03

Hands-on tool practice

Prompt engineering, AI agents, research workflows, and practical automation. Live exercises with the actual tools, focused on skills your team can use the next day.

Module 04

Implementation planning

Which tools to adopt now, what to build custom, and how to roll it out. Teams leave with a prioritized roadmap, assigned owners, and reusable workflow templates.

Best for teams that are

  • Starting enterprise-wide AI adoption and need shared direction
  • Running pilots but struggling to move into sustained operations
  • Balancing speed, governance, and change management across functions

What ships after the workshop

  • Role-based use-case shortlist with assigned owners
  • Prompt engineering and agent workflow templates
  • Tool evaluation framework for your workflows

Available as executive (1-2 day) or enterprise (team rollout) format. Many workshop clients go on to build their first AI system with us.

Ready to start?

One conversation. No pitch deck. Just what you're trying to solve.

See our case studies