Customer Support

AI support inbox triage and spam cleanup

AI reviews support inboxes and spam folders to identify junk, duplicates, promotional noise, and false positives, then cleans the queue by closing obvious spam and restoring legitimate customer emails before agents start work.

Why the human is still essential here

Humans still define spam and triage rules, monitor false positives, review edge cases, and step in whenever a legitimate customer message could be misclassified or a policy exception needs judgment.

How people use this

Overnight spam sweep

AI reviews overnight inbound tickets, flags obvious junk or promotional messages, and auto-closes them before the morning support shift starts.

Zendesk AI / Intercom Fin

Intelligent ticket tagging

AI classifies new emails by issue type, urgency, and likely legitimacy so genuine customer requests are separated from low-value inbox noise.

Front AI / Help Scout

Duplicate and low-signal thread filtering

AI detects duplicate outreach, auto-replies, and other low-signal messages so agents focus on real customer problems instead of inbox clutter.

Gorgias / Zendesk AI

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Related Prompts (1)

Latest community stories (2)

Personal Story
LinkedIn

Two fun AI wins this week:

Two fun AI wins this week:

1. We get a sizable amount of spam in our support inbox each day, and on regular occasions, we'll have legit emails get falsely flagged. Our team manually reviews to catch them, but do we really need to? I've set up an automation in Claude Cowork to triage our spam folder once a day and move any legit emails back to our inbox.


2. I love the people side of management, but the organizational side has never been a strength. It's a muscle I'm constantly working to develop, and I try to optimize my systems to compensate for this weakness. To help with that, I'm building out a management dashboard for myself.


The tool (Happy Team, as I'm affectionately calling it for now) shows a dashboard of all my team members, tells me when I last met one-on-one with them, reminds me when I last shared thoughts/feedback through our "Reflections" system, and how many conversations they were in with customers recently. You can also open up each team member and access historical data, leave notes, etc.


I started the project less than 24 hours ago, and it's already come a long way. I'm hoping it'll give me more "at a glance" access to the people I'm working with most closely each day. Of course, I could already grab all this information, but I love seeing it in one place.


There is more I want to do with it. Next up is quickly showing their upcoming vacation and how much time they've taken off for the year. Not because I'm worried about people taking too much time off (the opposite, actually). I also want to incorporate a small digest of "recent conversations" each teammate has been a part of, internal communication they've shipped, and other quick info that will help keep me more informed.


I think what I'm most excited about with this project is how much it's teaching me. Github branches, merging to main, push and pull requests, and how to structure a Claude Code project. More than that, it's giving me greater trust in myself. This started as a list of six names on a blank screen, and bit by bit, I'm working to bring my vision to life.

RP
Ross ParmlySenior Customer Advocacy Manager at Buffer
May 8, 2026
Personal Story
X

Everything I've built and installed with Hermes so far…

The Jeffri Profile

That's my customer support persona and connects to HelpScout.


Every morning at 6AM he scans the inbox and closes out spam or junk from our inbox. As new emails come in he writes draft, we say yes, he sends. Closes tickets once solved.


Writes a new “customer page” for every customer in Gbrain so we can track feedback and issues.


Used to be a manual task someone had to remember.


Now it just... happens.


Also helps scrub PII with customer support.

JB
Justin Brooke ❤️‍🔥Entrepreneur and Google Ads marketer
May 9, 2026