The new framework was implemented gradually over the following year. AI systems continued to analyze data and provide recommendations, but human decision-makers were trained to ask the questions that algorithms could not answer: What values are at stake? Who benefits and who bears the cost? What are we optimizing for, and should we be optimizing for that?

James led the training sessions himself, traveling to government offices across the country to teach the new protocol. He found that many civil servants were relieved to have their role restored. They had felt like rubber stamps, approving decisions they did not fully understand. Now they were being asked to think critically, to exercise judgment, to be accountable.

"The AI gives us a recommendation," James explained in one session. "But it also gives us the reasoning behind that recommendation. Our job is to examine that reasoning, identify any gaps or assumptions, and decide whether the recommendation aligns with our values. We are not rejecting AI - we are completing it."

The results were surprising. Decisions made under the new framework were not always more efficient, but they were more acceptable to the people affected. Communities felt heard. Stakeholders trusted the process more. The outcomes were not always optimal by algorithmic standards, but they were more human.

There were challenges, of course. Some decision-makers struggled with the new responsibility, unsure how to weigh competing values. Others resisted the change, preferring the certainty of algorithmic recommendations to the ambiguity of human judgment. And there were legitimate concerns about consistency - different reviewers might reach different conclusions about the same case.

But James argued that consistency was not the highest value. "We are not trying to make every decision the same," he said. "We are trying to make every decision right - or as right as we can make it, given the complexity of human life. That requires judgment, not just calculation."

James watched as the culture of decision-making began to shift. People started to understand that AI was a tool, not a replacement for human judgment. The question was no longer whether AI should make decisions, but how humans and AI could work together to make better decisions than either could make alone.

"The last human decision," James said in a speech to the Council, "is not a single choice. It is the decision to remain human in a world of machines. To value what cannot be measured. To prioritize meaning over efficiency. To remember that behind every data point is a person with a story."

The audience applauded. James hoped they understood.