Automation guide
Automate customer service
Every ticket that repeats the same question and every customer stuck in a queue is a cost you don’t see until it shows up as churn. Most support volume doesn’t need judgment, it needs order: classify, answer what’s repetitive, flag what’s going wrong. Here’s which customer service jobs can actually be automated, which cut ticket volume first, and how to choose where to start.
The catalog
What you can automate here
The jobs in this area, grouped by family. The ones with a solution already built are linked; the rest are queued.
Intake and triage
- Capture inquiries from every channel
- Classify tickets by reason
- Prioritize requests by urgency
- Detect sentiment and escalation risk
- Assign cases to the right team
- Merge duplicate requests
Resolution
- Suggest replies to agents
- Answer frequently asked questions automatically
- Execute standard actions on accounts
- Request missing data from the customer
- Summarize a conversation’s history
- Translate support conversations
Case management
- Update ticket status
- Remind about pending replies
- Escalate SLA breaches
- Coordinate cases across teams
- Update the customer on progress
- Close and document resolved cases
Quality and voice of customer
- Audit support conversations
- Evaluate reply quality
- Detect recurring contact causes
- Group customer feedback by topic
- Build knowledge from resolved cases
- Measure satisfaction and churn risk
How to choose
Where to start
Start with intake: if tickets arrive unclassified and unprioritized, sorting them is the fastest lever and the lowest risk, because it answers nothing —it just routes. Once intake is clean, tackle the questions that repeat every week —that’s where real deflection lives. Leave for later the cases that need judgment or access to sensitive systems: you automate the shuffling, not the agent’s call.
Frequently asked questions
With intake and triage: classifying each inquiry by reason and urgency and routing it to the right team unblocks the most tickets and carries the least risk, because it answers nothing —it just sorts. Once intake is clean, the next step is automating the reply for the most repeated questions. Doing it the other way around —replying before classifying— multiplies badly-handled tickets.
No, unless you decide so per inquiry type. The norm is to start with a safety net: on sensitive cases the AI suggests the reply and an agent approves it, and you only release autonomy for the reasons where accuracy is high and risk is low. Everything is measured and traced —CSAT, deflection, resolution time— so if something is answered wrong you see it, fix the rule, and it doesn’t repeat.
Yes. It’s built on the helpdesk or CRM you already use, connecting through its API and on the channels you already have (email, chat, WhatsApp, phone), without asking you to switch tools. The knowledge base and RAG system are built on your real content, not generic filler.
Shall we build it in your business?
You’ve pinned the area. We pick the first job and leave it running.