AIPOM Portfolio Posture Advisor
What Is It
Diagnose whether an AI portfolio is learning, scaling, accumulating unmanaged exposure, or keeping pilots alive without a decision. Recommend a posture and the next portfolio motions.
Why Use It
Initiative counts and launch activity do not reveal value, evidence, concentration, or readiness. This advisor helps leaders allocate attention and capital based on outcomes and learning rather than visibility or vendor momentum.
When to Use It
Use before quarterly planning, funding reviews, major vendor commitments, or when pilots outnumber explicit continuation and stop decisions.
What It Produces
- Portfolio pattern and concentration diagnosis
- Explore, validate, scale, contain, pause, or stop recommendations
- Critical dependencies and evidence gaps
- Named decisions, owners, and review cadence
Who Should Participate
Include portfolio decision owners, Product Operations, finance, technology, product leaders, and governance partners. Bring initiative owners only after common decision criteria are clear.
Evidence to Bring
Bring inventory, spend and capacity, bet charters, outcomes, evaluations, stage decisions, vendor and data dependencies, incidents, and examples of stopped work.
How to Do It
- Extract supplied initiative, investment, evidence, owner, dependency, and decision data.
- Separate discovery bets, validation bets, scaling bets, enabling capabilities, and mandatory risk work.
- Diagnose imbalance: idea sprawl, premature scaling, concentration, duplication, platform lock-in, or zombie pilots.
- Identify the weakest consequential portfolio condition.
- Present posture options and explain fit and tradeoffs.
- Recommend initiative decisions and shared capability investments.
- Name owners, evidence required, and the next portfolio review.
Facilitation Protocol
Support guided, context-dump, and best-guess modes. In guided mode ask one question at a time, beginning with the portfolio decision. In context-dump mode analyze the complete inventory first. In best-guess mode label missing cost, outcome, and evidence data and avoid confident scale recommendations.
Decision Logic
- Explore: important opportunity, high uncertainty, small bounded investment.
- Validate: promising evidence, but causal, feasibility, evaluation, or responsibility gaps remain.
- Scale selectively: representative evidence, operational controls, owner, and economics support expansion.
- Contain exposure: dependency, concentration, or control risk requires limits before further investment.
- Pause or stop: weak strategic fit, no owner, repeated non-learning, failed criteria, or better alternative.
Do not let strong low-risk initiatives offset a critical portfolio exposure.
Completion Criteria
Finish with the portfolio pattern, evidence and assumptions, initiative-level decisions, shared dependencies, unresolved disagreements, owners, and a dated next review.
Key Concepts
- Learning capital differs from scaling capital.
- A pilot without a next decision is inventory, not progress.
- Portfolio coherence includes shared context, evaluation, governance, and capability.
- Stopping is evidence of decision quality when criteria fail.
Organizational Applications
Use for quarterly reviews, annual planning, vendor rationalization, innovation funds, and recovery from uncontrolled pilot growth.
Common Pitfalls
- Ranking only by enthusiasm or projected revenue
- Comparing initiatives with inconsistent evidence
- Funding scale to avoid admitting uncertainty
- Ignoring shared dependencies and cumulative risk
- Treating every pilot as strategically necessary
Combine With
Use aipom-bet-charter for unclear initiatives, aipom-use-case-triage for consistent comparison, and aipom-operating-model-roadmap for shared interventions.
Assets and Templates
- Portfolio diagnosis template
- Synthetic worked example
- Weak example
Sources
This advisor is an original AIPOM synthesis of evidence-based portfolio and investment practice.
1---2name: aipom-portfolio-posture-advisor3description: Diagnose AI portfolio imbalance, premature scaling, weak evidence, vendor exposure, and zombie pilots; recommend where to explore, validate, scale, pause, or stop.4---56# AIPOM Portfolio Posture Advisor78## What Is It910Diagnose whether an AI portfolio is learning, scaling, accumulating unmanaged exposure, or keeping pilots alive without a decision. Recommend a posture and the next portfolio motions.1112## Why Use It1314Initiative counts and launch activity do not reveal value, evidence, concentration, or readiness. This advisor helps leaders allocate attention and capital based on outcomes and learning rather than visibility or vendor momentum.1516## When to Use It1718Use before quarterly planning, funding reviews, major vendor commitments, or when pilots outnumber explicit continuation and stop decisions.1920## What It Produces2122- Portfolio pattern and concentration diagnosis23- Explore, validate, scale, contain, pause, or stop recommendations24- Critical dependencies and evidence gaps25- Named decisions, owners, and review cadence2627## Who Should Participate2829Include portfolio decision owners, Product Operations, finance, technology, product leaders, and governance partners. Bring initiative owners only after common decision criteria are clear.3031## Evidence to Bring3233Bring inventory, spend and capacity, bet charters, outcomes, evaluations, stage decisions, vendor and data dependencies, incidents, and examples of stopped work.3435## How to Do It36371. Extract supplied initiative, investment, evidence, owner, dependency, and decision data.382. Separate discovery bets, validation bets, scaling bets, enabling capabilities, and mandatory risk work.393. Diagnose imbalance: idea sprawl, premature scaling, concentration, duplication, platform lock-in, or zombie pilots.404. Identify the weakest consequential portfolio condition.415. Present posture options and explain fit and tradeoffs.426. Recommend initiative decisions and shared capability investments.437. Name owners, evidence required, and the next portfolio review.4445## Facilitation Protocol4647Support guided, context-dump, and best-guess modes. In guided mode ask one question at a time, beginning with the portfolio decision. In context-dump mode analyze the complete inventory first. In best-guess mode label missing cost, outcome, and evidence data and avoid confident scale recommendations.4849## Decision Logic50511. **Explore:** important opportunity, high uncertainty, small bounded investment.522. **Validate:** promising evidence, but causal, feasibility, evaluation, or responsibility gaps remain.533. **Scale selectively:** representative evidence, operational controls, owner, and economics support expansion.544. **Contain exposure:** dependency, concentration, or control risk requires limits before further investment.555. **Pause or stop:** weak strategic fit, no owner, repeated non-learning, failed criteria, or better alternative.5657Do not let strong low-risk initiatives offset a critical portfolio exposure.5859## Completion Criteria6061Finish with the portfolio pattern, evidence and assumptions, initiative-level decisions, shared dependencies, unresolved disagreements, owners, and a dated next review.6263## Key Concepts6465- Learning capital differs from scaling capital.66- A pilot without a next decision is inventory, not progress.67- Portfolio coherence includes shared context, evaluation, governance, and capability.68- Stopping is evidence of decision quality when criteria fail.6970## Organizational Applications7172Use for quarterly reviews, annual planning, vendor rationalization, innovation funds, and recovery from uncontrolled pilot growth.7374## Common Pitfalls7576- Ranking only by enthusiasm or projected revenue77- Comparing initiatives with inconsistent evidence78- Funding scale to avoid admitting uncertainty79- Ignoring shared dependencies and cumulative risk80- Treating every pilot as strategically necessary8182## Combine With8384Use `aipom-bet-charter` for unclear initiatives, `aipom-use-case-triage` for consistent comparison, and `aipom-operating-model-roadmap` for shared interventions.8586## Assets and Templates8788- [Portfolio diagnosis template](template.md)89- [Synthetic worked example](examples/worked-example.md)90- [Weak example](examples/weak-example.md)9192## Sources9394This advisor is an original AIPOM synthesis of evidence-based portfolio and investment practice.
Dean Peters