OpenIBank Course

OpenIBank product architecture

How Hermon Finance, Maple AI OS, and OpenIBank can form a governed financial operating stack.

Learning Objectives

What this lesson should make precise

01

Name the core abstraction and its failure modes.

02

Translate the concept into a Maple/Hermon proposal contract.

03

Define at least one evaluation case that can fail the model safely.

Tutorial Flow

How this lesson becomes a demo and training target

Each tutorial is written as a user education path and a model-improvement artifact. The diagram shows how the idea moves into a lab, a typed contract, an eval gate, and then a Hermon/MapleAI demo route.

01

Concept

Product layers

02

Applied Lab

Applied lab: OpenIBank product architecture

03

Output Contract

product_layers, service_boundaries, model_routes, approval_gates

04

Eval Gate

Does the answer separate model proposal from deterministic execution?

05

Demo Route

OpenIBank training and public model checks

01

Product layers

OpenIBank should separate user experience, finance domain services, policy kernels, evidence stores, and model adapters.

  • UI is not policy.
  • Policy is deterministic.
  • Model is advisory.

02

Service boundaries

Ledger, treasury, compliance, and notification systems should each expose narrow, audited interfaces. The model sees proposals, not raw unrestricted power.

  • Narrow interfaces.
  • Read-only model paths.
  • Receipt every edge.

03

Commercial path

The niche is not generic financial chat. It is controlled operational intelligence for regulated workflows where evidence matters.

  • Sell controls.
  • Sell auditability.
  • Sell safer automation.

Lab

Applied lab: OpenIBank product architecture

Sketch the OpenIBank architecture for treasury monitoring, reconciliation, AML triage, and audit-packet generation.

Expected result

  • A typed JSON-style proposal rather than free-form advice.
  • Clear authority boundaries and denied operations.
  • A test or rubric that decides whether the proposal is deployable.

Evaluation

How Maple would grade this work

Rubric

  • Does the answer expose assumptions instead of hiding them?
  • Does the answer separate model proposal from deterministic execution?
  • Does the answer produce artifacts that can be tested, reviewed, and rolled back?

Output contract

product_layers, service_boundaries, model_routes, approval_gates, audit_store

Use this lesson as training direction

A strong lesson gives users a mental model and gives Hermon a sharper target for examples, probes, and demo prompts.