The constraint
Three always-on queues sharing one small team is a rostering problem before it is a technology problem. Customer enquiries arrive on the customer’s clock, quotes are only worth sending while the job is still open, and reconciliation backs up quietly until it is suddenly urgent. Whichever queue shouted loudest got the hours, and the exceptions that genuinely needed judgment waited behind traffic that did not.
The invoice side sharpened the point. Across shipping lines, depots and currencies, most mismatches follow the same clean patterns, which is precisely why working them by hand felt endless: the team was paying judgment-level attention to pattern-level work.
The approach
We treated the three queues as three separate systems rather than one project, because each has its own definition of routine. For customer service it is the enquiry tier answerable from live data. For quoting it is the standard job that prices cleanly. For reconciliation it is the invoice that matches a known pattern. Each agent system owns exactly its routine tier and nothing else.
The boundary is the design. Anything ambiguous, unusual or high-stakes escalates to the team with the context attached, and a person reviews every quote before it is sent. That keeps the judgment where it belongs and moves the repetitive volume off the people whose hours it was consuming.
The outcome
The agents save 80 hours of operator time a week across customer service, quoting and reconciliation. The team’s week inverted with it: reviewing output and working exceptions became the job, and the routine tier stopped setting the pace.
SCS Global put their name to this case. If your operation runs on queues like these, the pattern transfers; a free consultation is the fastest way to test it against your own numbers.