Knowledge and implementation

Source page: https://www.finogeeks.com/en/knowledge
Language: en

# Enterprise AI knowledge and selection guides

Understand product roles, architecture, security and deployment, then connect them to practical banking, securities, insurance and manufacturing workflows.

## Product selection and workspaces

### How to select and combine enterprise AI products

Map workspace, agent runtime, skills, knowledge and governance requirements to the ten products, then assemble a stack around a real business task.

### Building an enterprise-owned AI desktop

Create a maintainable AI workspace with enterprise branding, role-specific plugins, agent runtimes and client release management.

## Architecture and integration

### Agent runtimes and managed agent platforms

Understand how FinClaw, FinHub and FinDesk address task execution, hosted service management and employee access.

### Managing and reusing enterprise business skills

Turn role-specific methods into skills and manage intake, scanning, review, publication, installation and version updates.

### Building a mini-program ecosystem inside an enterprise app

Use a runtime SDK, developer tools and application management to release business modules independently and connect partner services.

## Security and action governance

### Combining an agent sandbox with an action gateway

FinSAFE constrains execution environments. FinGuard governs business actions, checking whether a specific change may proceed.

## Deployment and delivery

### Planning a private enterprise AI deployment

Prepare a deployment checklist covering models, execution environments, identity, system interfaces, data flows and operational ownership.

### How FDE turns standard products into role-based AI applications

Connect business workflows, enterprise knowledge and tools to standard products through discovery, modeling, integration, pilots and handover.

## Industry workflows

### Connecting banking agents to internal workflows

Bring customer service, document checks and internal collaboration into role-based workspaces connected to bank information and systems.

### AI workspaces for securities advisory, research and compliance

Connect role-specific customer information, research knowledge and tools to material preparation, content review and daily task handling.

### Role-based AI for insurance service and document review

Connect policy terms, documents and business tools to material collection, consistency checks and service preparation with human review.

### Turning engineering methods into manufacturing AI skills

Connect design standards, engineering information and professional software interfaces to role-based agents for engineering and production collaboration.

## Official documentation and technical articles

These links lead to official external resources. Chinese-language sources are labeled; no translated source article is implied.

- FinClip developer documentation (Chinese) Official mini-program, SDK, management platform and deployment documentation.

- FinClaw CLI repository Official CLI repository with installation and usage information.

- FinSAFE repository Official agent runtime sandbox repository with installation and configuration resources.

- Finogeeks technical articles (Chinese) Existing official articles about enterprise AI, business integration and product practices.

- FinClip product and technical blog (Chinese) Official articles about mini-programs, super apps, client integration and service ecosystems.

- Building an enterprise Agent desktop (Chinese) An existing official article about the desktop, sandbox, runtime, private plugins and branded distribution.

- Modular clients and FDE for financial AI (Chinese) An existing official article about combining standard products with implementation for institution-specific workflows.