Making the shift to an AI-first helpdesk
Why the order you build your helpdesk matters when Fin is handling the first response.
Setting up a helpdesk has five main components: inbox, knowledge base, workflows, channels, and reporting. Whether you’ve set one up before or this is your first time, it’s worth understanding how each one works differently when AI is handling the first response.
What changes when you build with Fin at the front line?
Prerequisites
Before you start, make sure you have the following in place.
- An Intercom workspace: You need an active Intercom account to follow along. Start a free trial at intercom.com if you don’t have one yet.
Video transcript
You know the traditional help desk setup. You build your inbox, your knowledge base, your team and their workflows, open your channels, and somewhere along the way, figure out what insights to measure. And when volume spikes, hire more people. That sequence works until you try to add AI to a system that wasn't built for it. Your inbox wasn't built to support AI at the frontline. Your knowledge was written for humans who browse, not for AI that reasons, and your team ends up working around it instead of with it. You go live with it on channels where the system behind it wasn't ready, and all of this adds noise to your reporting instead of giving you a clear signal. The truth is retrofitting AI costs more than getting it right from the beginning, so we're not gonna do that. And to be clear, we're not saying that this setup was wrong. That sequence made sense when your whole team was at the frontline of support, But you've chosen Intercom and Finn, and that changes what's possible. We wanna set you up for success from the very start, even if Finn isn't handling every conversation yet, because this setup sustains you as you grow and expand to more channels, more segments, and more topics without the need to hire just to keep up with your growth. And that's how we designed this course. It builds the same five things, but with AI at the center of everything. We start with your inbox and set it up for AI handoffs, not first contact. Then knowledge, built for AI reasoning, not self serving. Then workflows. You decide the escalation logic, what Finn handles end to end, and what your team receives. Then channels. Fin goes live with a narrow scope at first and expanding as your confidence builds. And here's what changes about your reporting and insights once AI is at the center from day one. You don't have to figure out what to track. Every conversation Fin touches generates structured data about who your customers are and what they actually need, and you can monitor and learn and improve over time. No fragmented dashboards, inconsistency, or guesswork here. So if you're wondering what the setup gets you, it's about one in five conversations fully resolved by Finn within four months with no teammates involved. And that's just your starting point with a well executed setup. The teams who keep improving, widening Fin's scope, closing knowledge gaps, refining their escalation logic push that even further. Rocket Money has Fin involved in more than half of their conversations, resolving sixty eight percent of them end to end. That's tens of thousands of conversations handled every month without human involvement and nearly one million dollars in annual savings. But don't just take their word for it. Before AI, growing your business meant growing your support team. The two moved in lockstep. With Intercom and Fin, they decouple. Support volume keeps climbing. But according to research, fifty seven percent fewer of those conversations ever needed human involvement. Your team's growth curve doesn't have to match your customer growth curve anymore. That's what it looks like when costs stop scaling with volume, freeing up your team to do higher value work. And that's what we're gonna build here.
You have the full picture now: five phases, a clear sequence, and the reasoning behind each step. When Fin is handling the first response, each component has a slightly different job than it would in a traditional setup, and the order you build them in helps make sure each piece supports the next.
Go deeper on the AI-first shift
If you want to understand how this shift is playing out more broadly, the resources below are from some of the most influential voices in this space. Give them a read at your own pace.
- There’s no going back: the new era of AI-first Customer Service has arrived. Paul Adams, Fin’s Chief Product Officer, on why AI-first isn’t somewhere support teams are heading. It’s where they already are.
- The Ticket: Understanding the changing economics of customer service in the age of AI. Des Traynor, Fin’s co-founder and Chief Strategy Officer, on what changes when AI starts resolving conversations that used to land with your team.
- How Fin actually works (short video)