AI needs – The promise behind enterprise AI was simple: automate interactions, take humans out of the loop, and watch margins rise. But teams deploying AI in real operations say the opposite is happening—more autonomy means more closeness to customers, because context an
For years, the pitch for modern software sounded like a direct route to bigger margins: build the product, automate the interaction, remove the human bottleneck, and scale.
In the world of SaaS, that logic often held. Standardize the product, reduce friction, and push the customer relationship into documentation, support tickets, and predictable workflows. The less a human has to touch the process, the cleaner the economics can look.
AI was supposed to take that same playbook and apply it to intelligence. The idea was that automation could do more than speed up tasks—it could remove people from decision-making entirely.
But the teams trying to run AI inside live, real-world operations are discovering a different reality. The more responsibility given to AI. the closer companies need to be to their customers—not only when the system is deployed. but continuously. as conditions change and the environment starts throwing new kinds of problems.
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