Southeast Asia, a customer may begin on WhatsApp, switch to a phone call, follow up by email and then return through web chat—often within the same day. The problem for many enterprises is not a shortage of channels; it is that each channel behaves as though it has never met the customer before. 8×8’s new Converse platform aims to end that awkward ritual of repeating oneself.
8×8 Converse is an AI-powered omnichannel engagement platform that brings voice, SMS, WhatsApp, Facebook, WeChat, LINE, Telegram, email and web chat into one agent workspace. It combines customer profiles, conversation history, routing, AI assistance and real-time analytics so teams can respond, escalate and manage service levels without hopping between systems.
“Customer conversations are no longer happening in one place, and businesses cannot afford for context to be lost every time a customer moves between channels,” said Sylvain Chaperon, general manager, CPaaS at 8×8. “With 8×8 Converse, we are helping organisations unify engagement across the full customer journey, while using AI to improve speed, consistency and personalisation at scale.”
For heads of operations and customer experience, the immediate priority is not adding more AI. It is fixing the plumbing beneath it. 8×8 says channel fragmentation and weak data integration are the most urgent challenges for Southeast Asian enterprises entering 2027, because AI cannot deliver a useful experience if it can only see part of the customer’s history.
That matters in a region where messaging is often the default interface. Customers in different markets may favour WhatsApp, LINE, Zalo, Viber or SMS, while businesses must maintain consistent service across all of them. 8×8 says Converse is designed to give every channel equal status, with the same conversation history and customer context behind it.
AI still has a role, but it is a supporting role. Converse uses intent detection, suggested replies and sentiment analysis to help agents prioritise conversations and spot high-risk interactions earlier. Smart routing directs enquiries according to skills, intent, priority and availability, while allowing chatbots and human agents to hand over without losing the thread.
“AI and human expertise should not compete,” 8×8 says. “A customer worried about a failed payment wants reassurance, not a faster script.” The company argues that the handoff is where many automation programmes fail: if a bot transfers a customer without history, the customer starts again and automation has made matters worse.
The practical test for operations leaders is straightforward: can an agent—or the AI—see the full customer history in one place, and does context follow the customer from chat to voice and from bot to human?
8×8 also urges enterprises to stop measuring success by automation rate alone. It recommends tracking resolution quality, customer satisfaction, agent effectiveness and repeat-contact rates instead. The goal, it says, is not to automate every interaction but to ensure each one reaches the right resolver with full context.
For Asia-Pacific businesses preparing for 2027, Converse is less about replacing people with bots and more about giving both the same memory.
