The biggest AI use case is coding.

1 Connect

Think of the shipping receipts piling up

You ship constantly, and the proof of what each one cost is scattered everywhere — confirmation emails, PDF invoices, the carrier's website. First move: have the agent write a small program that gathers every receipt into one tidy spreadsheet — date, tracking number, weight, where it went, and what you paid. The proof that was scattered across your inbox and the carrier's site now lives in one organized place, ready to use.

2 Build

Now see what it's actually costing you

Build a report on top: what you spend by month, your cost per package, which routes and which weeks run high. And the report does the noticing for you — it flags where costs crept up, the packages you were overcharged on, the surcharges quietly adding up. You're not assembling numbers anymore; you're reading the takeaways you'd have paid someone to find.

3 Automate

Now the review runs itself

Put it on a schedule. Every month the new receipts get gathered, the report refreshes, and a short rundown of what changed — and what's worth questioning — is waiting for you. The cost review you never quite found time for just shows up, and all that's left is deciding what to do about it.

1 Connect

Think of every conversation your team has with customers

Your reps have dozens of chats, calls, and emails a day, and each one scrolls past once and disappears into the help-desk tool. The good moments — a rep who went out of their way, a customer who mentioned a milestone — are gone the second the window closes. First move: have the agent write a small program that gathers those transcripts into one place, every conversation in the same tidy format, ready to read. Everything that used to vanish into the help-desk tool now sits in one organized spot you can actually work with.

2 Build

Now surface the moments worth acting on

Build a view on top: the agent reads through and pulls out what matters — the standout interactions worth recognizing a rep for, the offhand mentions of a birthday or a new baby or a work anniversary, the quiet signs a customer is getting frustrated. Instead of a pile of transcripts nobody re-reads, you've got a short, honest list of real human moments and exactly which customer each one belongs to.

3 Automate

Now no good moment slips by

Put it on a schedule. Every morning the new conversations get read and the list refreshes, ready to act on: the customer with a birthday this week to send a note to, the standout call worth reading out in your team meeting, the frustrated account worth a personal check-in before it's too late. The thoughtful touch that used to depend on someone happening to remember now happens like clockwork — and it still comes from you.

See a real customer experience manager's account of building this →

1 Connect

Think of every conversation, and no time to review them all

Your reps handle dozens of calls, chats, and emails a day, and almost none of it ever gets a second look — there's only time to read a tiny handful, so most of what your team does goes unseen. First move: have the agent write a small program that gathers every conversation into one place, each one in the same tidy format, ready to read. The work that used to disappear into the help-desk tool now sits where you can actually review it.

2 Build

Now have every one reviewed against your standards

Build a reviewer on top: the agent reads each conversation and judges it the way your best supervisor would — was the customer taken care of, did the rep handle it well, did anyone say something that needs a word. That read isn't keyword-matching; it's a real call on how things went, the kind only judgment can make → Instead of spot-checking a tiny sample and hoping the rest were fine, you get an honest read on all of it — and a short list of the few worth a manager's time: the ones that went wrong, and the standouts worth recognizing.

3 Automate

Now quality assurance runs every morning

Put it on a schedule. Every morning the new conversations get read and reviewed, and a short rundown is waiting: the handful that need a closer look, the reps worth a quick well-done, anything that crossed a line. The review that used to depend on someone finding the time now just happens — covering every conversation, not the few someone managed to spot-check.

A real customer experience manager built exactly this — read how, step by step →

1 Connect

Think of the support emails landing all day

Your team's inbox never stops — quick questions, real complaints, the occasional thank-you, all mixed together and all looking equally urgent until someone opens them. First move: point the agent at that incoming stream, so every new email is something it can read the moment it arrives. Same as before — you start by getting it to the data.

2 Build

Now give it judgment, not just rules

This is where it becomes a real AI agent. Instead of matching keywords, it actually reads and understands each email the way a sharp assistant would — it can tell "I have a quick question" from "I've been charged twice and I'm done." It weighs each one: how urgent, what it's about, whether it can handle it or needs a person. That understanding — making a call no fixed rule could — is the part people mean when they say "AI." Why that judgment is the whole story →

3 Automate

Now it watches around the clock

Last move: let it run on its own. Every email that lands gets read and sorted in real time — the angry, about-to-cancel one flagged and pushed to you right away, the routine ones answered with a drafted reply, the rest filed where they belong. Nothing sits in a pile waiting to be triaged by hand, day or night. You step in only where your judgment actually adds something.