Architecture
Purpose
This document describes the architecture of the system that supports AI Conveyor: components for managing the portfolio, tracking initiatives, reporting, and integrating with external systems.
Key ideas
- Initiative registry — the central component: storing initiative metadata and statuses, and linking them to stages and stage gates.
- Reporting and analytics layer — portfolio dashboards, KPIs, stage gate and impact reports (see analytics-layer).
- Integrations — connections to project management systems, data catalogs, and (optionally) ML platforms for tracking experiments and models.
How it works
The architecture supports the operating model of the AI office: entering and updating initiatives, conducting stage gates, and computing portfolio metrics and economic impact. It can be implemented using corporate tools (Jira, ServiceNow, Power BI, etc.) or a dedicated platform; initiative data structure is in the initiative model.
- 1Requests / owners
- 2Initiative registry
- 3Stage gates
- 4Analytics layer
- 5Dashboards / KPIs
| Link | Purpose |
|---|---|
| Stage gates → initiative registry | Updates statuses, decisions, and transition history |
| Initiative registry → projects / ML platforms | Synchronizes external work, experiments, and models |