Understand the model
Map the customer, value proposition, revenue logic, costs and the assumptions that need to be tested.
Explore an example
Japan Digital Bank turns business challenges into AI-assisted operating models. Define the opportunity, design the role of agents and test the value in a focused pilot.
How does a business create value? Where does work slow down? What could change with AI? We study the model, identify the problem and develop an approach that connects technology to a practical business outcome.
Map the customer, value proposition, revenue logic, costs and the assumptions that need to be tested.
Explore an exampleIdentify where AI agents can support research, analysis and execution. Connect the solution to the actual problem.
How it worksDefine a measurable outcome, review the evidence and decide what to improve before expanding the approach.
Start with a pilotChoose a field and a goal to explore a possible AI approach. See the inputs, potential deliverables and questions to validate—then take a brief into your first conversation with JDB.

Connect operational planning with the economics of a resource or service business.
Map the customer, value proposition, revenue logic and delivery costs. Use AI to organize evidence and compare assumptions before choosing a model to test.
An operating-model map, an agent-assisted planning workflow and a validation plan.
A process overview, planning records and the assumptions behind costs and revenue.
Customer demand, willingness to pay and delivery feasibility.
Clarify the problem and gather evidence before defining an implementation pilot.
Resource estimates, operating changes and investment decisions require qualified human review. JDB’s founder owns scope, quality review and client communication. Responsibilities are agreed for each pilot.
Prepared planning scenarios, not a live AI assessment or a promise of results. A project begins after scope, data handling, timing and cost are agreed.
Our development agenda spans six connected fields. We explore business models and AI solutions shaped by each industry’s economics, knowledge and operational responsibilities.
01Planning, asset knowledge and commercial assumptions often sit in separate systems.
An operating-model map, an agent-assisted planning workflow and a validation plan.
02Project knowledge and responsibilities are spread across organizations and workstreams.
A responsibility map, a knowledge workflow and a pilot for one coordination process.
03Market demand, product knowledge and distribution assumptions are evaluated separately.
A market hypothesis, a channel model and an evidence plan for a bounded pilot.
04Trade opportunities depend on fragmented market, counterparty and logistics information.
A transaction-workflow map, an assumptions register and an agent-assisted research pilot.
05Repeated information gathering and handoffs can slow internal and customer-service processes.
A service blueprint, an agent-role map and a pilot with explicit approval boundaries.
06Custody-related operations depend on consistent records, reconciliations and responsibility boundaries.
An operating-model outline, a controls map and a reconciliation-workflow pilot design.
AI-created concept illustrations. These represent our development focus, not operating JDB facilities or deployed products.
Research, modeling and workflow preparation have distinct roles. Each engagement defines what agents may access and prepare, what must be reviewed and who approves the next action.
Nabi Mamazhan’s portfolio spans digital-asset development, licensing, cross-border commerce and digital health. These ventures provide practical context for JDB’s work on business models and AI.
A Japanese online pharmacy and drugstore.
Creation of an online pharmacy platform connecting Japanese products with international customers. The public storefront brings together pharmaceutical products, health goods, supplements and everyday essentials.
An international sales portal for SMEs.
Creation of an online portal designed to help small and medium-sized companies offer their products to customers abroad. The project connects a digital sales channel with the practical needs of cross-border business.
An online medical consultation initiative with Fujita Health University Haneda Clinic, connecting patients abroad with Japanese medical expertise. The project focuses on remote access and consultation coordination, with medical consultations provided by clinicians.
Development of the UranCoin project as part of the founder’s digital-asset portfolio.
Development of the AtomCoin project, extending the portfolio’s experience with digital-asset initiatives.
Experience obtaining a crypto-depository license as part of a digital-asset venture.
Creation of a security token offering (STO) platform, adding practical platform-development experience to the portfolio.
These projects belong to the founder’s wider venture portfolio and involve separate business activities. They illustrate business-building experience; they are not presented as measured results from JDB AI deployments.

Japan Digital Bank operates on AI technologies and uses AI agents throughout its work. The company has no hired staff: AI is the foundation of its operating model.
Founder Nabi Mamazhan defines the direction, reviews important decisions and remains accountable for the company’s work. His background in mining engineering and international business connects JDB’s AI approach to real industry challenges.
Explore the founder’s projectsIndustrial roots.
A practical AI future.
Understand how value is created. Choose a real problem. Define what a useful result looks like.
Keep findings connected to source documents so people can check, question and improve the work.
Keep human judgment central, and consider the resources and long-term impact of each project.

Start with a task your team knows well.
We’ll explore what AI could improve and how to measure it.
Describe your business, the problem and the outcome you want. Use the opportunity explorer to prepare a starting brief.
Agree on inputs, data handling, evaluation criteria, timing and cost before starting. Use redacted or sample documents where appropriate.
The agreed deliverables can include a business-model or workflow blueprint, an agent-role map and a pilot findings report. Review what worked, what remains uncertain and whether to proceed.