Financial AI Agent Factory Platform

Build once. Govern always. Reuse everywhere.

FAFP is the platform banks use to build, verify, operate and reuse AI agents inside their own environment. Every agent runs under guardrails designed for Japanese financial regulation.

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Your data stays in your environment
Guardrails built for Japanese financial law
MILIZE × MirAI

FAFP lets banks, regional banks in particular, deploy agents tailored to their operations on one shared set of guardrails and protocols. Each new agent no longer needs its own security review and operating model built from scratch.

A catalogue of agents prepared for banking operations
Shared guardrails for every agent, from data tiers to entitlements
Open protocols (MCP and A2A), independent of any single LLM vendor
Designed around the requirements of Japan's APPI, Banking Act and My Number Act

Agent catalogue

Proposal assistant
Financial simulation
Internal knowledge search (RAG)
Your own agent

Guardrails

Data sensitivity tiers (S0–S3)
Data residency limits
Per-agent entitlements
Audit trail

Connectivity

Multiple LLMs
Internal documents (RAG)
Core and business systems

The problem

Why the tenth AI project still costs as much as the first

Starting over, with costs piling up

Each project goes to a vendor, and nothing delivered last time is reused next time. The bank pays again for work it has already paid for.

Generic guardrails don't know Japanese law

The generic guardrails of cloud platforms do not reference Japan's FIEA or its anti-money-laundering act, and do not recognise My Number or Japanese account numbers.

Always-on agents need always-on control

An agent that works around the clock must be controlled on four fronts at once: (1) safety: it never does what it is not allowed to do; (2) security: data and access stay inside their boundaries; (3) compliance: every action can be checked against the rules; (4) running cost: model-call and GPU cost is tracked clearly for each agent, so the bank can manage its budget as more agents go live.

What FAFP does

Assemble from verified assets and build only what is missing

Business logic becomes agents made of prompts, tools and skills. What already exists is drawn from the Catalog; what is missing is built on FAFP. Every component passes the gates and is registered in the Registry, so the next project can reuse it. The same logic ships three ways: (1) a web app, (2) a mobile app, (3) a feature inside the bank's existing systems.

Draw from the Catalog
Verified agents, skills, tools and models, from MILIZE or the marketplace.
Build what is missing
Anything missing is built at Layer 4 in the System Prompt, Tool, Skill and Workflow factories.
Assemble
Agents become workflows, and workflows become finished low-code applications.
Verify and register
Control Tower checks them at the gates; components that pass are registered in the Registry.
Deliver three ways
As a web app, a mobile app, or a feature added to existing systems.
Reuse on the next project
New components join the Catalog, so the next project starts from there rather than from zero.

Architecture

Five layers, one Control Tower across them all

Select a layer for details. Play the flow to follow data through every layer to a live application.

Data
Model build
Model choice
Agent
App
Production

LAYER 5

AI Application Factory

Role: Builds finished low-code applications with a front end and a back end.
Inside: App templates, a prototyping sandbox (dummy data, isolated), the Gallery
Example: A proposal-writing assistant for staff

From idea to production

A sustainable path from idea to production

Every AI project goes through the same steps: build the environment, build agents, assemble, verify, go live. The difference is who has to do those steps, and how many times. Without a platform, each project builds its own environment, builds its own agents, designs its own guardrails, and the next project starts over. With FAFP, the environment, guardrails and verification are already in place; agents come from the Catalog, only the missing parts are built, and everything created is registered for reuse. The bank does not have to invest in building environments and hiring a strong engineering team to look after the platform, so the path from idea to production is short and stays sustainable project after project.

1Need

2Environment

3Agents

4Assembly

5Verification

6Live

Traditional approachNo platform; each project does it alone

Define the needStart from a blank page

Build the environmentInfrastructure, GPUs, model access and security for this project alone

Build agents from scratchEven parts built in the last project

Assemble by handWrite the screens and integrations for this project

Design controls in-houseGuardrails and checks for this project alone

Go liveDeliverables are hard to reuse next time

Next project: the same steps start over, and cost piles up

With FAFPShared platform and guardrails, already in place

Define the needFirst look in the Catalog for what exists

Environment readyInstalled in your landing zone; prototypes run on dummy data, isolated

Reuse, build only the gapTake agents, skills and tools from the Catalog; build what is missing

Low-code assemblyAgents into workflows, workflows into applicationsprototype: about 2 weeks

Verified at four gatesControl Tower checks against guardrails built on Japanese financial law

Live as a featureAdded to existing systems; new components registered in the Registrybeta: 8–12 weeks

Next project: starts from the Catalog, with every registered component

01
Idea
Start from a business need and find existing assets in the Catalog.
02
Prototype
about 2 weeks
Build a working prototype on dummy data in an isolated environment.
03
Gates
Control Tower checks quality, permissions and compliance at each gate.
04
Beta
8–12 weeks
Depends on data readiness and integration complexity.
05
Production
Runs as a feature of existing systems rather than a new system.

Durations are design targets.

A bank does not need to build the foundations itself to build and run AI agents.

FAFP takes on the platform, the engineering capability and the control system. The bank can put everything into what it understands best: its business and its customers.

Control Tower

Every guardrail decision traces back to the article of law

Try the guardrail

この商品は元本保証で、必ず儲かります。

Possible breach: 断定的判断の提供rule_idv1.0Illustration

The live guardrail demo will be embedded here

01One clause, one rule, each with a reference ID and a version
02At run time a deterministic rule engine decides, not an LLM. The same input always gets the same result
03Japanese entity detection: My Number, account numbers, name and birth-date pairs, addresses
04Budgets per project and per agent, tracking model-call and GPU cost, with alerts before limits are reached
05Exports audit evidence and can stop a single agent when something goes wrong
06Tools for customers to build guardrails for other domains such as insurance or healthcare

Data sovereignty

Your data stays with you

FAFP is installed in your landing zone and operated by you
MirAI holds no access rights to your environment
By default, information flows one way only, from the centre to you. Nothing leaves your environment without your signature

Marketplace

Born from your business, earning from the demand of the whole industry

The best agents, skills and components usually come out of a bank's own operations, already proven in live use. Demand for them does not stop at one institution, because other financial institutions are solving similar problems.

The FAFP marketplace turns verified, in-demand assets into a source of revenue. A bank publishes an asset, other institutions pull it and use it, and the bank earns credit in proportion to use.

Before publication, every asset package passes a data-leak check and two signatures: (1) the bank's own, (2) the marketplace operator's.

Earn on every use

The more institutions need an asset, the more credit it earns.

You decide what is shared

Only assets the bank has signed are published.

Data stays put

Packages are checked so they carry none of the bank's data, which stays in the bank's own environment.

Gallery & Catalog