超越巨石：可组合架构为何是实现真正AI营销的秘诀

Your case for composable martech is compelling, but C‑suite leaders must also weigh the hidden cost of stitching together best‑of‑breed AI agents—especially around data governance, latency, and vendor interoperability at scale. How do you see organizations balancing the agility of modular stacks with the need for a unified, accountable AI operating model?

Spot on regarding the legacy CRM trap, but the real engineering headache starts when you try to govern data pipelines across ten different micro-vendors without creating massive API latency. How are you advising operations teams to handle state management when half a dozen autonomous agents are simultaneously reading and writing to customer profiles?

Spot on, but let us not forget the downstream impact this modular shift has on support operations. When marketing spins up specialized AI agents via API, those touchpoints become the very front lines of the customer journey—meaning our CSAT scores hang entirely on whether those modular tools pass clean context downstream to the help desk. If marketing's shiny new composable stack drops the conversational baton before handoff, we are the ones left cleaning up the ticket backlog.