# Aipom Portfolio Posture Advisor

> Diagnose AI portfolio imbalance, premature scaling, weak evidence, vendor exposure, and zombie pilots; recommend where to explore, validate, scale, pause, or stop.

- Skill: `deanpeters/aipom-portfolio-posture-advisor` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add deanpeters/aipom-portfolio-posture-advisor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/deanpeters/aipom-portfolio-posture-advisor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Dean Peters (https://skillmd.com/u/deanpeters)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/deanpeters/aipom-portfolio-posture-advisor

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# 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

1. Extract supplied initiative, investment, evidence, owner, dependency, and decision data.
2. Separate discovery bets, validation bets, scaling bets, enabling capabilities, and mandatory risk work.
3. Diagnose imbalance: idea sprawl, premature scaling, concentration, duplication, platform lock-in, or zombie pilots.
4. Identify the weakest consequential portfolio condition.
5. Present posture options and explain fit and tradeoffs.
6. Recommend initiative decisions and shared capability investments.
7. 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

1. **Explore:** important opportunity, high uncertainty, small bounded investment.
2. **Validate:** promising evidence, but causal, feasibility, evaluation, or responsibility gaps remain.
3. **Scale selectively:** representative evidence, operational controls, owner, and economics support expansion.
4. **Contain exposure:** dependency, concentration, or control risk requires limits before further investment.
5. **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](template.md)
- [Synthetic worked example](examples/worked-example.md)
- [Weak example](examples/weak-example.md)

## Sources

This advisor is an original AIPOM synthesis of evidence-based portfolio and investment practice.