A customer opened a query by email and picked it up on chat — and the new agent, on a different system, couldn't see any of it and asked for everything again. Multiply that by every channel and every language, and service was chaos. We put it all on one screen.
As the company pushed into international markets, running support turned into fragmented, expensive chaos — a separate team held for every communication channel and every language.
It was hugely inefficient: a Spanish email team, an English chat team, and so on — one sitting idle at a quiet hour while another buckled under thousands of tickets at the very same time. And the customer's story was scattered across the email system, the chat system and the phone system, so an agent had no idea what had already been promised or credited on another channel.
The seams showed worst across a single conversation: a customer who started by email and continued on chat met an agent who couldn't see the history and asked for every detail again. In less common languages it was slower still — two or three days for the right person to circle back — which cost sales and drove customers away.
One workspace, the whole history, translation built in, and the write-up done for you.
We connected all of the company's channels — chat, email, social and phone — into a single workspace, so an agent works every conversation from one place instead of juggling three systems.
The agent sees a live “360 customer card” with every past interaction across every channel, so no one ever has to ask a customer to repeat what they already said — or misses a credit made elsewhere.
A language engine translates the customer's message into the agent's own in a fraction of a second, and renders the reply back into the customer's language — keeping the brand's commercial tone and terminology intact.
At the end of every interaction the system writes a concise English summary and posts it straight into the customer's CRM record — removing the manual keying that used to eat the end of each contact.
Because channel and language are handled in the workspace, any ticket can go to any available agent — ending the idle-team-here, overloaded-team-there imbalance that separate desks created.
The AI unifies, translates and summarises; the agent reads the full picture, judges and answers. The relationship stays human, on any channel and in any language.
The silos came down, and the customer stopped repeating themselves.
Ending the dependence on isolated, expensive teams per channel and per language cut the customer-service operation's total cost by 25%, while every agent became a “global agent” able to serve 20+ languages from one workspace.
First response time in international markets fell from about two days to a few minutes, and repeat-customer retention on the site rose 40% — the payoff of a service that finally felt like one continuous conversation.
The gains came from ending the fragmentation — one workspace, one customer history, one queue — so the effort of switching channels and languages simply disappears for both sides. The real-time translation piece here runs deeper in our multilingual translation work, and the auto-write-up mirrors our after-call automation. The agent still owns every reply; the AI just removes the seams.
Reef TRH