Customer support assistant
Repetitive questions about products, orders and services take up most of support teams' time. Response times lengthen, answer quality depends on the agent handling it, and customers compare with the responsiveness they find elsewhere.
The automated workflow
A structured process for fast, reliable results.
Receiving the request
The customer asks through the channel of their choice (chat, email, form), and analysis starts immediately.
Contextual search
The knowledge base, customer history and product documentation are queried to find the right answer.
Generating the answer
A clear, complete answer is written, adjusted to the customer's context and interaction history.
Answer and escalation
The answer goes to the customer immediately. Complex requests are passed to a human agent with all the context already gathered.
Tangible results
Up and running in 4 to 6 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Customer support assistant
More workflows: Customer Service
Complaint categorisation and routing
Complaints arrive through several channels and are sorted by hand. The time spent qualifying and directing each one delays the response, approximate assignments add a transfer, and urgent cases move at the same pace as the rest of the flow.
Personalised customer reply generation
Writing each reply individually takes up a major share of agents' time. Rigid templates produce impersonal messages, tone varies from one agent to another, and the customer context available in the CRM goes underused at the moment of writing.
Customer 360 journey summary
Customer data lives separately in the CRM, support, billing and marketing tools. Before each conversation, the agent opens several systems to piece together the customer's story, and decisions are made on a partial view of the journey.
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