Are we over-indexing on intelligence and ignoring governance?

I keep seeing new models benchmarked for how smart they are. More reasoning, more tools, more autonomy. But in practice, the hardest problems Ive run into with agents arent about intelligence. They are about boundaries. Even a well performing agent drifts over time. It finds edge cases. It does things you didnt expect. And the smarter it is, the more creatively it can go off course. Governance is the missing layer. Not a policy document locked in a drawer, but a runtime layer that enforces what the agent can and cannot do. I am working on an open source project called SAFi that addresses exactly this. Would love to hear how others are handling governance in their agent workflows. Are you using something custom? Or relying on the model provider? Curious what the community thinks.