The idea of one AI agent across multiple channels is compelling, but I think the real test is consistency rather than simply channel coverage. Having one shared knowledge base and workflow logic should reduce duplicated maintenance, especially when policies or product information change. The interesting part is how well the agent adapts to the context of each channel. A response that works for website chat may need to be much shorter for WhatsApp, while voice requires a completely different interaction style. I also think actions, procedures, and human handoff are what make this approach more practical. If the agent can actually retrieve information, complete tasks, and escalate with context intact, it becomes much more than a collection of chatbots. For teams considering omnichannel AI, I’d probably measure resolution rate, escalation rate, consistency, and maintenance effort over time rather than just looking at the number of supported channels. That would give a much better picture of whether the “one agent” approach genuinely simplifies support operations.