Problem
Too many AI use cases create a false sense of progress. The portfolio grows, the impact does not.
When everything is a priority, no initiative improves the system. Noise multiplies and judgment dilutes.
Thesis
AI Portfolio Hygiene means having fewer use cases, but better governed. The quality of the portfolio defines the quality of the decision.
It’s not about having more AI, but about having less friction and more outcome.
Framework
Initiative triage with three operational filters:
- Measurable impact: freed hours, avoided cost or protected revenue.
- Real adoption: % of team using the system without coercion.
- Reversal cost: how much it costs to shut it down if it fails.
If an initiative fails two of the three filters, it does not enter. If it already exists and does not meet them, it is closed.
Mini-case: a team had 12 active use cases and none with clear ownership. After triage, 4 remained, but adoption rose because governance was transparent and reversal cost low.
Anti-example: approving a use case because “everyone wants it”, without measurable impact or closure criteria.
Position: A large portfolio is not a sign of maturity, it is a sign of lack of governance.
Breath: Fatigue appears when everyone feels they are working on everything and no one sees a clear result.
When NOT to add a use case: when you cannot say that it improves a decision or eliminates a cost.
Real hygiene signal: the team can name three live initiatives without looking at a spreadsheet. If they cannot, the portfolio is already noise.
Another key filter is the “sunset”: each use case must have a review date and closure criteria. If it doesn’t exist, the system is designed to accumulate, not to decide.
Hygiene indicator: the list of initiatives shrinks while the aggregated impact rises. If impact does not improve when reducing, the problem was not quantity but criteria.
Minimum review: a monthly checkpoint that forces justification of why each case remains alive.
Protocol (3 steps)
- Inventory all active initiatives and assign impact, adoption, and reversal cost.
- Reduce to the 3-5 that change real decisions within 30 days.
- Freeze the rest and redirect budget to improve adoption and governance.
Related:
- Zero-Click Operations: operational design for scaling teams
- Operating Model Drift: the hidden symptom of teams that grow without criteria
- 10 mistakes that sink AI initiatives in mid-sized companies
Next step
If today you cannot defend why that use case remains alive, schedule a diagnosis at contact.
Translated from the Spanish original with AI assistance and reviewed for accuracy. Read the original in Spanish.