DecisionOS — Decide · module
Portfolio
Which of the AI work already running should be scaled, sustained, merged, fixed or stopped — and what stopping frees up.
When you reach for it
Budget season, a new CIO's first sixty days, or the week after someone at board level asks how much is being spent on AI and what has come of it.
What it asks you
2 blocks, in this order. Each one exists for a stated reason, and the run tells you that reason as you answer it.
- 01
The inventory
One row per initiative that exists — running, funded, paused or stalled. Facts, all of them verifiable by someone, none of them rated.
- 02
The facts, per initiative
Nine facts and two judgements. Every one is something a person can establish, and 'don't know' is a real answer that routes the row to a conversation rather than to a verdict.
The method
How the result is produced
Every initiative is classified by an ordered rule set, evaluated top to bottom, first match wins. There is no scoring and no weighting: the rules are the model, and they are printed in full below so that a sponsor who disagrees can point at the rule rather than at the conclusion. Overlap is detected by grouping initiatives on their capability tag within a sponsoring function. Portfolio-level financial figures are computed from cost band midpoints, count only the initiatives that carry a band, and state how many were excluded — where no bands were given at all, the financial figures are suppressed rather than estimated.
What it connects to
Answers established elsewhere are carried in with their age shown, so a stale answer reads as stale rather than being silently reused.
The rest of the Decide line
Use Cases
Which AI ideas do we do, in what order, and which are we explicitly not doing.
ROI
What this initiative is actually worth, as a range, and which single assumption the answer depends on.
Vendors
Which of these options to choose — including building it ourselves and doing nothing — and what the choice actually rests on.