The scorecard library gives one resource surface for deciding whether AI work is ready to fund, ship, govern, or teach. Each scorecard is short enough for an executive working session and specific enough to route the next workstream.
The five reads.
Value. Where AI changes throughput, revenue quality, decision speed, or strategic leverage.
Strategy. Whether the bet is sequenced before budget drifts into pilots.
Transformation. Whether the workflow can produce measurable operating lift.
Fluency. Whether operators are getting better at the work AI changed.
Governance. Whether control evidence is fresh enough to defend.
How to use it.
Run the scorecards before a vendor push, board update, quick audit, or transformation kickoff. The output should name the next funded workstream, the owner, and the evidence that must exist before the result becomes the record.