The first question in an AI pilot should be which decision is worth improving.
Choose one that recurs, has a measurable consequence, and has an owner who can judge the result. A performance incident and a budget-allocation or profit question are useful starting points for MIZ OKI Media.
The scope should be small enough to expose mistakes.
Our published 90-day pilot begins with one brand or business unit and a limited set of sources. The customer and the team agree on the decision classes, the evidence required, the constraints, and the criteria for continuing.
The calendar creates review points. It does not grant permission.
During days 1–30, the work is connection and observation. Confirm access to the scoped systems. Reconcile identities and timestamps. Establish the economic definitions. Identify gaps that could change a decision.
This phase permits no recommendations or actions. Before the pilot advances, the team reviews whether the evidence base is trustworthy enough to support an opinion.
During days 31–60, the emphasis is validation: test causal hypotheses, reconcile economics, and challenge the policy checks. Consider alternatives, including keeping the current position. Any causal claim needs an appropriate experimental basis, and the review should make uncertainty visible.
Every recommendation is for human review. The team compares the diagnosis with the operation it knows and with the evidence the pilot can establish. Only then does the discussion of action authority begin.
During days 61–90, the core deliverable is a reviewed recommendation with its evidence and decision record. Limited, human-approved actions are conditional on the prior reviews, the specific capability, an enabled execution path, and every applicable authority gate. The current Signal posture remains recommendation-only, with measurement and net-yield writebacks off. Net-yield writeback is Preview · in development. Reaching a date does not change that posture.
For each eligible action, the record should state what is being changed, who approved it, the expected result, the stopping condition, and the recovery plan. The pilot then compares the prediction with independently observed outcomes.
The scorecard needs to be agreed before the results arrive. Evidence completeness, diagnostic quality, recommendation acceptance, policy coverage, decision latency, and prediction quality are useful measures. Business impact needs a suitable comparison and enough observation time to support the claim.
Acceptance alone is not proof of correctness. A team can like a recommendation that fails. A declined recommendation can reveal a missing operating constraint. Both belong in the review.
At the end, there are three possible decisions.
Expand when the evidence clears the agreed criteria. Specify the next decision classes, sources, and authority grants.
Extend when the evidence is promising but incomplete. Name the remaining gaps, the additional work, and a firm end date.
Stop when the record does not justify continuing. The customer keeps the scorecard, decision records, and what the engagement established about the operation.
The published pilot structure makes expansion an explicit decision. It is not an automatic renewal.
That is the standard I want MIZ OKI to be judged by. Useful authority follows demonstrated judgment. Where a capability is still in development or the evidence is insufficient, the record should say so and the action should remain withheld.
If you have followed this series, start with the decision you would most want to replay six months from now. What would you need to know to defend it? What could make it wrong? Who should be able to stop it?
Review the 90-day pilot structure, then write to sales@mediaintelligence.ai with the decision that costs your business the most when it goes ungoverned.
We will scope the conversation around that decision.