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COMPEL Body of Knowledge

COMPEL Glossary / GL-14

Use-Case Portfolio Canvas

A structured prioritization tool that maps candidate AI use cases across value potential, feasibility, risk, and strategic alignment dimensions to produce a ranked, resource-constrained portfolio for the transformation program.

What this means in practice

It converts unstructured AI opportunity lists into a governed investment portfolio with explicit trade-off logic.

Context in the COMPEL framework

Produced in the Calibrate stage after the Shadow AI Inventory and Maturity Baseline are complete. The canvas becomes the source-of-truth for which use cases enter the COMPEL lifecycle.

Where you see this

Use-Case Portfolio Canvas is most commonly referenced when teams work across the Calibrate stage — especially within the Value Realization layer . It appears in governance artifacts, assessment instruments, and delivery playbooks wherever COMPEL is operationalized.

Related COMPEL stages

Related domains

Synonyms

use-case prioritization matrix , AI portfolio map , opportunity canvas

Related Terms Network

This diagram shows how Use-Case Portfolio Canvas connects to other concepts in the COMPEL body of knowledge. Each linked node is a term you can explore in turn.

Related terms for Use-Case Portfolio Canvas Network graph showing 3 related glossary terms connected to Use-Case Portfolio Canvas. Use-Case Portf… AI Ambitio… Value Thes… Risk Appet…
3 related concepts connected to Use-Case Portfolio Canvas.
Accessible list of related terms
  • AI Ambition Statement — A concise, board-level declaration that defines the organization's strategic intent for AI transformation — what it aims to achieve, at what pace, and with what risk appetite.
  • Value Thesis Register — A living register that documents the specific value thesis for each AI use case in the portfolio — including the problem statement, value hypothesis, measurement approach, baseline, and expected outcomes.
  • Risk Appetite Statement — A formally approved document that defines the types and levels of AI-related risk the organization is willing to accept in pursuit of its AI ambition, covering operational, reputational, regulatory, and ethical risk dimensions.

See also

  • AI Ambition Statement — A concise, board-level declaration that defines the organization's strategic intent for AI transformation — what it aims to achieve, at what pace, and with what risk appetite.
  • Value Thesis Register — A living register that documents the specific value thesis for each AI use case in the portfolio — including the problem statement, value hypothesis, measurement approach, baseline, and expected outcomes.
  • Risk Appetite Statement — A formally approved document that defines the types and levels of AI-related risk the organization is willing to accept in pursuit of its AI ambition, covering operational, reputational, regulatory, and ethical risk dimensions.

Related Terms

Other glossary terms mentioned in this entry's definition and context.