Human experience × AI · Research & Prototyping

People and AI,solving problems together.

A place to research and prototype ways of solving social problems by combining expertise, human experience, and AI.The first theme is corporate indirect procurement. For now, rather than commissioned work, the focus is on prototyping, learning, and sharing — using public information and fictional data.

Purpose

AI brings information; people bring judgment. Together, they take on hard problems.

AI can gather, organize, and compare information, and generate new options. People can understand another person’s situation, share experience, and make decisions responsibly.

CrossPath Works does not aim to replace either people or AI with the other. By combining the strengths of both, it takes on problems that have been hard to solve. Through small prototypes and dialogue, we want to grow useful systems together with companies, experts, developers, and people across regions and countries.

Purpose

Solve social problems through human–AI collaboration

First Mission

Solve corporate procurement problems

Future

Extend to learning, AI help, and global collaboration

Projects

Three research themes

If you live and work in Japan from another country, Learning & Community is where this site is most likely to be useful to you. Procurement Lab is the first concrete theme, and it is where the prototypes and articles are today.

01

Learning & Community

Learning, work and everyday life in Japan — across countries and generations

Learning with AI, and the parts of working and living in Japan that are hard to read from the outside. Not a launched service, and not advice: a place to write down what I notice and to hear how it looks different from where you stand.

02 First theme · First Mission

Procurement Lab

Researching and prototyping corporate procurement

Indirect procurement, RFPs, data analysis. Combining human procurement experience with AI to research how companies can use the purchasing capability they need, when they need it.

Learn more
03

AI Help

Not a tool only for those who already know AI

Using Claude / ChatGPT, organizing information, writing, and learning. Rather than just handing over answers, we think about genuinely useful support by trying things together.

First Mission · Procurement Lab

Does a company need to hold all of its purchasing capability in-house?

In many companies, indirect procurement is scattered across departments and sites, and information on prices, specifications, suppliers, and contracts is underused. At the same time, placing specialists in every category and building a separate system for each is unrealistic for most companies.

Procurement Lab researches ways to combine human procurement experience with AI so that companies can use the purchasing capability they need, when they need it. Topics include visualizing spend data, standardizing specifications, creating / distributing RFPs and analyzing responses, organizing supplier information, and — in the future — joint purchasing across multiple companies. We start small, with public information and fictional data, and look for what is genuinely useful through dialogue with people who face these problems.

Future Workflow (concept)

  1. 1 Company purchasing data
  2. 2 AI organizes categories and spend
  3. 3 People and AI standardize specifications
  4. 4 RFPs generated automatically
  5. 5 Distributed to candidate suppliers
  6. 6 Responses collected in a comparable format
  7. 7 Compare price, quality, lead time, and risk
  8. 8 People make the final decision

AI never makes the final purchasing decision automatically. It strengthens human judgment by organizing information, standardizing processes, and presenting comparable options.

Current Activity Notice

CrossPath Works is a personal, preparatory project that researches new forms of support combining AI with domain expertise. It currently does not conduct sales, take on commissioned work, or provide services; its activities center on prototyping, learning, and sharing using fictional data and public information. Around themes such as indirect procurement, using generative AI, and learning support, it explores what kinds of systems might be useful to society in the future. The content reflects research and concepts, and does not guarantee that any service will be offered or realized.

Connect

Share your thoughts.

We welcome your impressions, exchange with others working on similar problems, connections with experts and developers overseas, opinions on the articles, and dialogue about possible joint research in the future.

Email [email protected]

* Currently not accepting commissioned work, service applications, or consultations.