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How to Build an AI Initiative Portfolio: The 6-Attribute Record and Composition by Maturity Stage

By Pedro Sonda, dooop

To build an AI initiative portfolio, record each initiative with six attributes (strategic theme, investment nature, stage, owner, indicator, and next decision date), compose the set according to the company’s maturity stage, and review it in a fixed ritual. Companies in early stages should focus their portfolio on fundamentals and efficiency, which generate faster learning and returns; more mature companies can allocate more space to growth and differentiation. The right portfolio is the one the company can execute well, not the most ambitious.

Updated October 2026.

What the Data Shows About Composition

DataSource
High-performing AI companies pursue growth and innovation, not just efficiencyMcKinsey, 2026
Leading companies report double the revenue increase and 40% greater cost reductions; about 70% of potential value lies in core functionsBCG, 2025
In low-maturity organizations, identifying suitable use cases is the most cited obstacle (37%)Gartner, 2025
CEOs expect positive returns by 2027 from both efficiency initiatives (85%) and growth initiatives (77%)IBM, 2025

Interpretation: Portfolios that generate more value combine efficiency and growth and focus on core functions. However, less mature companies are still learning to identify cases, which calls for a simpler portfolio initially.

dooop Framework: The 6-Attribute Record

AttributeQuestionGeneric Example
1. Strategic ThemeWhat business theme does it serve?Commercial proposals
2. NatureEfficiency, growth, defense, or learning option?Growth
3. StageIdea, test, pilot, operation, scale, or closed?Pilot
4. OwnerWho is responsible for the result?Commercial manager
5. IndicatorWhat result does it measure, with what baseline?Proposal deadline: 10 days
6. Next DecisionWhen and what will be decided?Review in 60 days: scale or adjust

An initiative without all six attributes does not enter the portfolio. Investment natures are detailed in AI, Capital, and Strategy: What Leadership Needs to Connect.

dooop Framework: Composition by Maturity Stage

Company StageIndicative CompositionWhy
EarlyPredominance of fundamentals (rules, literacy, data from priority cases) and few efficiency initiativesGenerate learning and confidence with low risk
Structured ExperimentationEfficiency in core functions, first growth initiatives, few learning optionsProve value in important processes
ScaleBalance between scaled efficiency and growth; room for differentiationExpand results and begin creating advantage
IntegrationMore space for growth and differentiation; efficiency as routineAI as part of the value proposition

These compositions are qualitative guidelines, not fixed percentages. To identify the stage, see What Is Maturity in Artificial Intelligence?. For parity, efficiency, and differentiation horizons, see AI as a Productivity Tool or Competitive Advantage?.

How Many Initiatives?

The limit is execution capacity: people with time, prepared data, technical support, and leadership attention. A good test is to verify if each initiative has an owner with real time for it and if the executive team can follow all in the quarterly review. For continuous management of the opportunity portfolio, with capacity limits and balance, see How to Create a Prioritized AI Opportunity Portfolio.

What to Do Now

  • Record current initiatives with the six attributes.
  • Compare the composition with the company’s maturity stage.
  • Adjust: cut, pause, or add initiatives so the portfolio fits real capacity.

To build the AI portfolio from strategy, learn about dooop’s consulting.

Frequently Asked Questions

Are an initiative portfolio and a use case inventory the same? No. The inventory records all uses and ideas; the portfolio contains only initiatives chosen to receive investment and monitoring.

Do individual productivity uses enter the portfolio? Generally, no. They are governed by the usage policy. They enter the portfolio when they become an initiative with an owner, indicator, and investment.

Also Read

About dooop

dooop is a consultancy based in Caxias do Sul (RS) that prepares leaders and organizations to transform artificial intelligence into business capability through strategy, governance, and training.

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