What happened
As enterprises deploy AI agents across customer experience channels, a new bottleneck is emerging — orchestration. VentureBeat reports that builders are finding it difficult to manage these complex, multi-channel systems. Without a strong architectural foundation, these deployments risk becoming fragmented and inefficient.
The problem isn't the individual agents, but the lack of a coherent system to make them work together. This fragmentation undermines the very customer experience they're meant to improve.
How the room's reading it
The conversation on X and in engineering forums is shifting. A few months ago, the focus was all on model choice and prompt engineering for single-agent tasks. Now, practitioners are hitting an operational wall. The consensus among teams shipping CX bots is that the 'easy' part is done — the hard part is managing context across multiple agents, channels, and backend systems. CX leaders are realising that a collection of siloed bots doesn't create a coherent customer journey. It just creates more sophisticated dead ends. The debate is no longer about which LLM to use, but which architectural patterns can actually handle state and context at scale.
Sailfish's take
We've seen this pattern before. Teams get excited about a new capability — in this case, AI agents — and ship point solutions. The result is always the same: a fragmented mess that's impossible to maintain. This isn't a 'bot' problem; it's a systems design problem. We think the smart move isn't to chase the most capable agent, but to build a durable orchestration layer first. This means thinking about state management, observability, and routing logic before you even write your first prompt. We'd avoid any platform that sells 'an agent' and instead look for tools that help manage a fleet of them. The real prize is a coherent system, not a clever chatbot.