--- title: "Customer Support AI agents" section: "Agent store — Customer Service — processes" canonical_url: "https://leverge.ai/agents/customer-service/customer-support" category: "Customer Service" process: "Customer Support" publisher: "Ailoitte Technologies Private Limited" --- # Customer Support AI agents 12 production agents automating customer support within customer service. Each one runs today and publishes its inputs, steps and outputs. ## Agents in this process ### Account Change Request URL: https://leverge.ai/agents/customer-service/customer-support/account-change-request Check whether the person asking for an account change is entitled to make it, then draft either the confirmation or the verification request. Nothing is changed and nothing is sent. Steps: Reading what is being asked for → Looking up the account → Checking they are entitled to ask → Deciding what to send back → Preparing the reply for approval. Returns: What is being asked for; Entitlement check; Draft reply; Account on file. ### Chat Transcript Summary URL: https://leverge.ai/agents/customer-service/customer-support/chat-transcript-summary Turn a live-chat log into the two things needed afterwards: a ticket record the next agent can act on, and a clean transcript the customer can be sent. Steps: Reading the chat log → Building the ticket record → Preparing the customer's copy → Preparing the transcript for approval. Returns: How the chat ended; Ticket record; What was promised in the chat; Loose ends; Transcript for the customer. ### Complaint Tracking URL: https://leverge.ai/agents/customer-service/customer-support/complaint-tracker Track every open complaint against the commitments made to that customer — which are past the promised date, which have gone quiet, and which were closed without the customer ever agreeing they were. Steps: Reading the complaint register → Checking each complaint against what was promised → Writing the brief → Preparing the complaints brief for approval. Returns: Complaint handling; Brief; Commitments missed; Every open complaint; Message to complaints oversight. ### FAQ Gap Monitor URL: https://leverge.ai/agents/customer-service/customer-support/faq-gap-monitor Check the published FAQ against what agents are actually replying, and find the entries that have quietly gone out of date as well as the questions that were never added. Steps: Reading the published FAQ → Reading what agents replied → Comparing the FAQ against practice → Writing the worklist. Returns: FAQ health; What to change; FAQ disagrees with what agents say; Entry by entry; Questions with no entry. ### Inquiry Self-Service Deflection URL: https://leverge.ai/agents/customer-service/customer-support/inquiry-deflection Work out how much of last month's inbound could already have been answered by the help centre, which articles were missing, and which questions should never be deflected at all. Steps: Reading the inquiries → Searching the help centre → Matching inquiries to articles → Writing the content plan. Returns: Deflectable volume; What to write next; Topics, and whether an article covers them; Articles that should exist and do not; Must always reach a person; Help centre articles considered. ### Knowledge Article Drafting URL: https://leverge.ai/agents/customer-service/customer-support/knowledge-article-drafting Draft a publishable article from a resolved case, checked against the existing knowledge base first so it extends what is there instead of quietly contradicting it. Steps: Reading the case → Checking what is already published → Deciding whether this needs a new article → Choosing new article or amendment → Checking the draft against the case. Returns: New article or amendment; Draft; Checked against the case; Existing articles considered. ### Order Status Response URL: https://leverge.ai/agents/customer-service/customer-support/order-status-response Match a customer asking where their order is to the right line in the order book, and draft a reply that states only what the record actually confirms. Steps: Reading the order book → Finding their order → Drafting the reply → Preparing the reply for approval. Returns: Matched order; Draft reply; What the record does not confirm. ### Post-Service Survey Dispatch URL: https://leverge.ai/agents/customer-service/customer-support/post-service-survey Decide which closed tickets should be surveyed and which would make things worse, then draft the invite for each one. Every draft is approved individually — nothing is sent. Steps: Reading the closed tickets → Deciding who should be surveyed → Drafting invite {{loop.index}} of {{loop.total}} → Summarizing the dispatch. Returns: This dispatch; Dispatch summary; Drafted invites — approve each individually; Deliberately not surveyed. ### Query Resolution URL: https://leverge.ai/agents/customer-service/customer-support/query-resolution Classify an inbound customer message, look up the account, and draft a reply for your approval. Nothing is sent. Steps: Classifying the message → Looking up the account → Searching the knowledge base → Deciding how to handle it → Preparing the reply for approval. Returns: Classification; Draft reply; Account record; Knowledge base articles used. ### Recurring Issue Root Cause URL: https://leverge.ai/agents/customer-service/customer-support/issue-root-cause Cluster a month of tickets into the underlying faults behind them, and rank the fixes by how many tickets each one would actually stop arriving. Steps: Reading the ticket export → Clustering tickets by underlying cause → Writing the case for the top fix. Returns: Avoidable volume; The case for fixing this first; Underlying causes, by ticket volume; One-offs worth a second look. ### Service Inquiry Follow-Up URL: https://leverge.ai/agents/customer-service/customer-support/service-followup Find the open inquiries that have gone quiet on our side, and draft the chase for each one from what the thread actually last said. Every draft is approved individually — nothing is sent. Steps: Reading the open inquiries → Deciding which need chasing → Drafting follow-up {{loop.index}} of {{loop.total}} → Summarizing the batch. Returns: This sweep; Batch summary; Drafted follow-ups — approve each individually; Held back from the batch. ### Technical Issue Diagnosis URL: https://leverge.ai/agents/customer-service/customer-support/technical-issue-diagnosis Read the diagnostic export a customer sent in alongside what they reported, and work out what the evidence actually shows — separating what the logs prove from what the symptom merely suggests. Steps: Reading the diagnostic export → Working out what the evidence shows → Writing the next steps. Returns: What the evidence points to; Next steps; Candidate causes; What the log actually proves; What is missing from the export. --- Source: https://leverge.ai/agents/customer-service/customer-support — Leverge