Building AI agents is the easy part now. Running them in a real organization is where things get complicated!

Something I keep noticing... The demos are getting really good. The technology works. Teams can build agents that actually do useful things. Then someone asks, "Okay, how do we deploy this?" And suddenly everything gets complicated. Who owns it when something goes wrong? What version is actually running? Can you see what it did three weeks ago? Who can change it? How are those changes tracked? For regular software, most organizations already have answers to these questions. But for agents, a lot of teams still seem to be working it out. That is why the idea of an agent control plane is interesting to me. Basically, a governance and deployment layer that sits above the individual agents and frameworks. I came across Lyzr's Control Plane while looking into this space. And yes there are others working on similar problems too, which probably says something about where the ecosystem is heading. Maybe the real bottleneck for enterprise agents is no longer "can we build it?" It is "can we safely operate 50 of these exactly at once?" Also, do you guys know of any other agent control planes that you feel actually solve this problem well Would be interested to see what people are actually using in production. What do you think is actually killing most AI pilots before they reach production?