AI Triage
AI in client support pays when it prepares each ticket for a person instead of talking to the customer. The research is done before the agent opens the ticket, and a person sends every reply.
The AI support tool that pays for itself never talks to a customer. It reads, sorts and researches each ticket, and a person sends the reply.
Chatbots were sold to support teams as a way to answer tickets with fewer people. When a client with a simple question gets a wrong answer from a bot and cannot reach a person, the saving on the staffing line comes back as lost clients.
Most of an agent’s time on a ticket goes on research before the reply: reading it, working out which product it concerns, searching the knowledge base, checking the client’s history. Hand that research to AI.
Where the time on a ticket goes
Illustrative: the minutes are our estimate for one routine ticket, not a measurement. On them the ticket falls from fourteen minutes to four, and the agent’s share to two. The agent still makes every decision.
How the work reaches the agent
A ticket arrives
By email, chat or web form
AI sorts it
Product area, urgency and topic
AI gathers the context
Recent conversations, account status, relevant articles
AI drafts a reply
With links to the articles it used
An agent decides
Sends it, rewrites it or escalates it
Everything the AI produces goes to the agent, never to the client, who gets a fast answer from a person who already knows the history.
FlowBase, the triage engine we have in build, does the sorting for incoming work such as email. A decision it is unsure of goes to a person’s review queue, and a classification that fails lands in that queue as a failure, with the error attached, so nothing is dropped.
Which tickets it helps with
Illustrative: the proportions are the argument, not a measurement
Routine tickets
Password resets, billing and how-to questions. The answer is in the knowledge base; the AI finds it and drafts the reply, and the agent checks and sends it.
Expert tickets: the research
The AI cannot fix a complex fault, but it can pull the logs, similar past tickets and the relevant documents, so the expert starts from a research packet.
Expert tickets: the fix
The expert applies the judgment. This is where senior people earn their pay.
Upset clients
The AI stays out: no draft, only the client’s history and a note to handle it with care.
Why a customer-facing bot costs more than it saves
Building it in three steps
Each step is useful on its own.
How much of your team’s time on a ticket goes on finding the answer?
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