Customer Support

Capturing support knowledge with AI

AI-assisted tooling is used to break down knowledge silos and capture tribal support knowledge so teams can access what experienced teammates know without relying on memory or informal handoffs.

Why the human is still essential here

Support leaders and agents still decide what knowledge matters, verify accuracy, and apply judgment in live customer situations. AI helps organize and surface knowledge, but humans remain responsible for correctness and customer trust.

How people use this

Knowledge article drafting from resolved tickets

AI turns solved tickets, agent notes, and case histories into draft internal or external knowledge articles that support leads can review and publish.

Zendesk AI / Salesforce Einstein for Service

Centralized AI knowledge search

AI search lets agents query help center content, internal docs, and past support answers in one place so tribal knowledge is easier to find during live cases.

Intercom Knowledge Hub / Zendesk Knowledge

Documentation gap detection

AI analyzes recurring conversations to identify missing or outdated support documentation and recommends where new articles or updates are needed.

Zendesk AI / Intercom

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Personal Story
LinkedIn

Your customers don't want to talk to AI.

Your customers don't want to talk to AI.

When systems are down and the pressure is on, they want to know there's a real person on the other side. Someone who gets it, who can pull in the right people, and who won't tell them to "try asking the chatbot."


I've heard this over and over. And I agree with them.


But here's the thing. The best support teams I've built aren't choosing between humans and AI. They're using AI to make the humans better.


I started in support as one of two people covering 24/7 for a global client base. Every ticket was manual. Every escalation was a phone call. Every piece of tribal knowledge lived in someone's head.


Seven years later, I've led that same function through multiple mergers and acquisitions, platform integrations, and a full operational transformation. I didn't do any of this alone. I had a team that was willing to try new things and push through the growing pains.


We replaced manual NOC monitoring with automated alerting. We used AI-assisted tooling to break down knowledge silos and actually capture what people knew. We gave support engineers their own troubleshooting toolkits so they could resolve issues without waiting on engineering every time.


And we saw it in the results. Resolution times improved quarter over quarter. Support self-solved rates increased, which relieved load on backend engineering resources.


The result wasn't just better metrics. It was a team that could take on harder, more complex work because they weren't buried in the repetitive stuff.


I know the future of support feels scary right now. But the unlock isn't replacing people with AI. It's AI-assisted human agents. People who are hungry to grow, supported by tools that surface the right data at the right time. People who learn to use AI responsibly, who watch for hallucinations, who make sure the output is actually correct.


And the humans? They level up. They build a real foundation for a growing career in our industry.


Let's make it better for future us's.

JA
Jenny AnthonyDirector of Global Support
Apr 23, 2026