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.
Start with the work employees need to complete
Define where a task starts, which information and tools it needs, which system receives the result, and who approves it. Use this workflow to select products rather than treating a chat interface as the whole solution.
- Use FinDesk for desktop work involving local files, professional interfaces and business plugins.
- Use FinClip to bring mini-program services into existing apps and multiple client environments.
- FinClaw runs role-based agents. FinHub hosts and manages server-side agent services.
Separate skills, knowledge and business relationships
FinSkills Hub manages skill scanning, review, distribution and versions. FinLore organizes retrievable enterprise information with source references. Fintology models business concepts, objects and relationships. These address how to perform work, what information it relies on, and how business objects relate.
Govern both execution and business changes
FinShield provides agent execution protection on personal computers and employee devices. FinSAFE constrains process access to files, networks and resources. FinGuard governs authorization, approval and records for actions against business systems. Combine them when both the execution environment and downstream changes need controls.
- Identify the role, task, connected systems and deployment environment.
- Select the workspace, model, runtime and governance components.
- Validate the combination against the outcome of a pilot task.
