39 Customer Service AI Agents, Live in Production.

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.

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.

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.

Check the published FAQ against what agents are actually replying, and find the entries that have quietly gone out of date as well as the questions that were never added.

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.

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.

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.

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.

Classify an inbound customer message, look up the account, and draft a reply for your approval. Nothing is sent.

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.

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.

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.

Read a batch of survey responses and surface the themes, the drivers of low scores, and what is worth acting on.

Find the customers whose own words are worth asking to quote publicly, and draft each ask so it names what you want to quote and how consent works. Every draft is approved individually — nothing is sent.

Take feedback arriving from every channel and route each item to the team that can actually act on it, separating a product request from a support failure from something that needs answering today.

Work out which detractors are worth a personal reply and which are better left alone, then draft each one from what they actually wrote. Every draft is approved individually — nothing is sent.

Check a planned review-request campaign before it goes out: whether the list was filtered by expected sentiment, whether anything is being offered in exchange, and whether the wording steers the score.

Build a survey that will actually tell you something — questions derived from what you need to decide, with the leading ones, the double-barrelled ones and the unanswerable ones stripped out.

Measure where response time actually goes across the queue — first reply, the gaps in the middle, and which hours of the week the team is quietly missing.

Assign a queue of unassigned tickets across the team by skill, shift and current load — with the reasoning shown, so a shift lead can override any of it.

Draft the closure note for each resolved ticket from what was actually done, and refuse to close the ones the customer has never confirmed. Every draft is approved individually — nothing is sent.

Sweep the open queue for tickets that have breached or are about to breach, and brief the shift lead on the ones that need a person now. Nothing is sent.

Find why tickets are coming back — which closures did not hold, what they have in common, and which customers have now been through the same loop more than once.

Take an open ticket thread and drive it to a close — what is actually being asked, what has already been tried, and either the fix or an honest handover. Nothing is sent.

Prepare a goodwill or credit request for the person who has to authorise it — what went wrong, what precedent exists, what the policy allows, and what the decision would set as a precedent.

Work out which delayed or blocked orders the customer needs telling about today, what to actually offer them, and which ones will resolve themselves before anyone notices.

After a service action is completed, check the systems agree it happened — that the record, the entitlement and the customer's own view tell the same story before anyone calls it done.

Check a service order against the contract it is drawn from before work starts — whether what is being ordered is covered, priced as agreed, and inside the entitlement the customer actually holds.

Separate accounts that have genuinely gone quiet from ones that only look quiet, then draft a useful reason to make contact rather than a nudge. Every draft is approved individually — nothing is sent.

Draft credential-expiry notices that a security-aware customer can safely trust — no links, no urgency, nothing a phishing email could imitate — and check each draft against that bar before approval.

Find the accounts where a service notice would reach nobody today — a bounced address, a contact who has left, one person carrying everything — and draft the request that fixes each one. Nothing is sent.

Before a campaign goes live, work out what support will be asked, whether the answers exist yet, and which claims in the campaign will generate questions nobody can answer.

Read what customers actually wrote across a period of tickets and chats — the tone, the effort it cost them, and the moments a conversation turned — rather than what a survey afterwards remembers.

Describe a stuck case and get the resolution paths your own playbooks support, ranked, with what the case has not yet established named rather than assumed.

Turn a service record into the instructions the customer actually needs afterwards, checked line by line against your own documentation before anyone approves it. Nothing is sent.

Turn a customer's stated availability into a service appointment that works in both time zones, with the arithmetic shown and the invite held for approval. Nothing is booked and nothing is sent.

Check a draft service policy against what the team actually does — the commitments nobody can meet, the gaps that leave agents guessing, and the rules already being broken every day.

Build the review pack for an account from its support history and usage — what the relationship actually looks like from the customer's side, and which of it is evidence rather than impression.

Review a closed ticket against a quality rubric — whether it was actually resolved, how it read to the customer, and what the record will not support if anyone asks later.