All Eight Cores

AI-Native Connectivity

AI Interaction

Built for humans. Connected to AI.

Architecture principle · Integrations introduced per product

AI-Native Connectivity is an ecosystem-wide architecture principle for every FinDech product. It guides how external AI systems understand product capabilities, connect through standardized interfaces, and initiate supported actions with the user's authorization. Websites, web applications, and mobile applications remain full channels. Integrations are introduced per product, platform, market, and partner model.

Core Sequence

  1. 01Discover
  2. 02Connect
  3. 03Prepare
  4. 04Authorize
  5. 05Execute

Core Principle

Another Way Into The Product

Using AI inside a product and making a product accessible through external AI are different design decisions. FinDech products should support both human interfaces and authorized AI interaction, while keeping business logic independent of any particular AI provider. Common standards make future connections reusable without requiring one shared platform or MCP server.

Three Directions

Discoverable. Connectable. Actionable.

A common architecture standard for every existing and future FinDech product.

AI Discoverability

Clear service descriptions, structured metadata, and machine-readable product information help AI systems understand what each product does, who it serves, and which capabilities are available. Public information must distinguish live functions from planned ones.

AI Connectivity

Versioned APIs, scoped authorization, and optional MCP or platform-specific connectors provide consistent routes into product functions. Potential connections to ChatGPT, Claude, Gemini, and other agent applications require each platform's own integration, authorization, and publication process. MCP alone does not provide universal access.

AI Actions & Transactions

Supported actions may include retrieving information, checking availability, requesting quotes, preparing workflows, and submitting authorized requests. Financial operations separate preparation, explicit user confirmation, and execution, with authentication, permissions, limits, fraud prevention, audit history, and KYC/AML where applicable.

Architecture Requirements

What Products Are Designed To Support

Requirements for future integrations. Supported functions are enabled and verified separately for each product, market, partner, and AI platform.

  • Machine-readable product discovery
  • Standardized APIs and AI connectors
  • Authorized actions with user control
  • Clear capability and availability definitions
  • Scoped, revocable user authorization
  • Provider-independent product logic
  • Transaction preparation and confirmation
  • Execution checks and transaction limits
  • Idempotent requests and status tracking
  • Auditable action and decision history
  • Reusable integration and security patterns
  • Progressive adoption across AI platforms
Operating Model

Prepare. Authorize. Execute.

Discover and connect first. Preparing an operation, confirming it, and executing it remain separate steps under user control.

  1. Discover

    The AI system reads accurate public product information and supported capability definitions. Availability remains specific to the product, market, partner, and AI platform.

  2. Connect

    The user explicitly authorizes a supported connector with appropriate authentication and limited, revocable permissions. Connecting an app does not authorize a financial transaction.

  3. Prepare

    The product validates a request and prepares an operation with exact details, including amount, currency, recipient, fees, and quote expiry where relevant. Preparation does not move funds.

  4. Authorize

    The user confirms the exact operation through a trusted product or partner flow, with additional verification where required. Changed details or an expired quote require a new confirmation.

  5. Execute And Record

    The product rechecks authorization, scopes, limits, KYC/AML where applicable, fraud signals, Risk Shield, and partner restrictions before execution. It records the result and audit history; an uncertain result is checked before any retry.

Applications

Scenarios This Principle Supports

Product categories this Core is designed to support. Availability depends on the product, jurisdiction, and selected partners.

  • Product and service discovery
  • Account and activity enquiries
  • Availability and quote requests
  • Workflow preparation
  • Authorized financial requests
  • Supported service management
  • Enterprise AI applications
  • External assistant integrations
Cross-Core

Designed To Work With The Other Cores

Using AI inside a product and making a product accessible through external AI are different design decisions. FinDech products should support both human interfaces and authorized AI interaction, while keeping business logic independent of any particular AI provider. Common standards make future connections reusable without requiring one shared platform or MCP server.

Partner And Regulatory Boundary

Where FinDech Stops And Partners Begin

This Core establishes architecture requirements, not a claim that AI integrations or transaction functions are live across the portfolio. Agent access remains limited to supported functions and explicit user permissions; it never grants uncontrolled access to funds. Product controls and applicable partner, regulatory, authentication, and KYC/AML requirements apply to AI-initiated actions. Regulated services remain with appropriately authorized providers.

Build From The Core

Partner with FinDech to develop financial products using reusable infrastructure across crypto, cards, banking, payments, deals, investing, risk protection, and AI connectivity.