Customer support automation applies language models to the support queue: drafting responses, classifying and routing tickets, and answering the repetitive questions, so the people on the team spend their time on the cases that need judgement.
Let's TalkRoutine questions get answered when they arrive instead of waiting for the morning shift.
Response time improves most on the cases where speed was the bulk of what the customer wanted.
People spend their time on conversations that need judgement rather than ones that need copy and paste.
The routine answer reads the same on a quiet Tuesday as it does on a difficult Friday afternoon.
This is one part of our ai integration work. Engagements rarely stay in one box: a platform rollout turns into something custom, and both then need looking after. That is why our software development and implementation practice treats implementation, custom development, and ongoing support as one continuous piece of work rather than three separate vendors.