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AI Conveyor

AI Conveyor is a product platform for implementing the framework of the AI Operating Model: a single flow of AI initiatives from idea to confirmed business impact.

The framework and methodology define what the model consists of and how to implement it in a company. The AI Conveyor platform answers the question of what teams use to run this work.

What the platform does​

The platform closes the management loop of the framework in a single application — five core building blocks.

Capturing and routing initiatives​

An AI assistant that helps you put together an initiative: a brief in chat or from a document, suggestions on products and similar cases, and quick flows such as "create an initiative."

AI assistant: capturing initiatives via chat and attaching a brief

AI product portfolio​

A catalog of internal AI platforms and tools (RAG, ML platform, document AI, and more): each initiative is linked to a target product, and each product has its own delivery track.

Products: catalog of internal AI platforms and tools

AI initiative portfolio​

The business funnel is a unified view of all initiatives by stage (new, assessment, delivery, awaiting impact): potential and impact on the columns, filters, and creation from a card or from a chat with AI.

Business funnel: initiative portfolio by stage

Delivery and control​

In the delivery stage there are tasks and artifacts for the initiative. Delivery stages can be configured for each AI product, as can the transition criteria between stages: stage gates, required fields, and field visibility. An initiative does not move forward without the rules being met — see the stage-gate model.

Delivery tracks and stage gates: configuring delivery stages and transitions

Impact and transparency​

The dashboard shows portfolio KPIs, risks, economic impact (total, awaiting confirmation, confirmed), and the top initiatives. Impact statuses and metrics are covered in portfolio KPIs.

The result is not a set of scattered pilots, but a managed portfolio with owners, statuses, and decisions at every stage.

Where to go next​

AI initiative portfolio

  • Overview — roles, objects, and the logic of moving an initiative toward impact.
  • Business funnel — stages from "New" to awaiting impact, criteria, and decisions at transitions.
  • Lifecycle — the full chain of statuses, including support, closing, and rejection.

AI product portfolio

  • Overview — the loop of internal AI platforms and tools.
  • AI products — product types and linking an initiative.
  • Delivery track — implementation stages within the selected AI product.

Infrastructure

Playbooks