Good recommendations. I see most orgs in the RCG space still in the Experimental or POD phase. Are you seeing (or hearing about) companies evolving to the Orchestration phase yet? Seems like the technology is there, perhaps we’ll see adoption increase of the next few months.
Thanks! Totally agree—most RCG orgs are still comfortably in the Experimental or POD phase. The tech is ready for orchestration, but the real hurdle is organizational: cross-functional alignment, clean data flows, and a clear owner of the AI layer (who isn’t buried three levels down).
That said, I’m starting to see early signs of movement—especially in AI-native or digital-first companies. They’re beginning to connect the dots across tools, teams, and touchpoints. My hunch? The next 6–12 months will be the tipping point. The orgs that treat AI as an infrastructure shift—not just a toolkit—will break away from the pack.
Curious if you’re seeing any frontrunners starting to orchestrate at scale?
Great Q! AI orchestration without team alignment is like trying to conduct a symphony when half the orchestra is playing jazz .
That said, orchestration can actually drive alignment when done right. Start with small, clear workflows where ownership is solid. Use orchestration tools to expose broken handoffs and surface where things fall apart. And over time, AI agents can act as connective tissue between silos—translating and coordinating in ways humans haven’t been able to.
It’s messy at first, but it can be the catalyst orgs need to finally harmonize.
great analogy and great point! If half the orchestra is playing jazz, maybe orchestration is the thing that helps everyone hear how out of sync they really are. Looking at this "tension" as potentially necessary before the harmony can happen makes a lot of sense.
Good recommendations. I see most orgs in the RCG space still in the Experimental or POD phase. Are you seeing (or hearing about) companies evolving to the Orchestration phase yet? Seems like the technology is there, perhaps we’ll see adoption increase of the next few months.
Thanks! Totally agree—most RCG orgs are still comfortably in the Experimental or POD phase. The tech is ready for orchestration, but the real hurdle is organizational: cross-functional alignment, clean data flows, and a clear owner of the AI layer (who isn’t buried three levels down).
That said, I’m starting to see early signs of movement—especially in AI-native or digital-first companies. They’re beginning to connect the dots across tools, teams, and touchpoints. My hunch? The next 6–12 months will be the tipping point. The orgs that treat AI as an infrastructure shift—not just a toolkit—will break away from the pack.
Curious if you’re seeing any frontrunners starting to orchestrate at scale?
This was great! Would be curious to hear how do you see AI orchestration evolving in orgs that still haven’t nailed basic cross team alignment.
Great Q! AI orchestration without team alignment is like trying to conduct a symphony when half the orchestra is playing jazz .
That said, orchestration can actually drive alignment when done right. Start with small, clear workflows where ownership is solid. Use orchestration tools to expose broken handoffs and surface where things fall apart. And over time, AI agents can act as connective tissue between silos—translating and coordinating in ways humans haven’t been able to.
It’s messy at first, but it can be the catalyst orgs need to finally harmonize.
great analogy and great point! If half the orchestra is playing jazz, maybe orchestration is the thing that helps everyone hear how out of sync they really are. Looking at this "tension" as potentially necessary before the harmony can happen makes a lot of sense.