October 21, 2026
There are two loud voices in customer service right now. On one side are outsourcing agencies that see AI as a threat to good service. On the other are AI vendors that see people as a cost to remove. Both are selling half a model.
At The SaaSy People, we run both halves. Our Expert Services team implements Fin AI Agent as a Fin Gold partner. Our Outsourced Customer Support team runs the human side, with 24/7/365 coverage available. Here's what we've learned from owning the whole thing.
Myth 1: AI kills the human touch
AI that's deployed badly does kill it. AI that's deployed well protects it. When Fin handles password resets, order updates, and "where do I find" questions, our agents get their time back for the conversations that need a person: the frustrated customer, the complex account issue, the moment when empathy decides whether someone stays. The human touch is really about attention. Attention is finite, so we spend it where it counts.
Myth 2: Outsourcing AI means handing your brand to a bot
Fin is only as good as the content it learns from. If your help centre is out of date, Fin will be confidently wrong at scale. That's why content and knowledge work comes first in every Fin project we run, not last. SaaSy Guardian, our AI-powered QA tool for help centres, checks your content for accuracy, gaps and quality. The result is answers that sound like you and are actually right. Our agents also write in your brand voice every day, so they quickly notice when the AI starts drifting from it.
Myth 3: AI replaces your support team
AI changes the shape of the team. Fewer tickets are repetitive and more complex, so skills shift toward judgement, escalation handling, and quality assurance. We train our agents for that shift, and every account includes QA scoring. That way, the conversations Fin hands over reach people who are ready for them. Teams that don't plan for the shift end up with a bot nobody trusts and a queue of angry escalations.
Myth 4: You have to choose between an AI vendor and a human agency
This split causes most of the problems. When one supplier owns the AI, and another owns the people, customers fall through the handover between them. Nobody owns the full journey, so nobody fixes it. At The SaaSy People, the team configuring Fin works alongside the team answering your customers, under one relationship and one named Account Manager. There's no gap for customers to fall through.
Myth 5: AI is set and forget
Resolution rate isn't a number you hit once. You improve it week by week by reviewing unresolved conversations, closing content gaps and tuning how and when Fin hands over to a person. Our agents see every conversation Fin couldn't resolve, so they're the first to spot what's missing. The businesses getting real value from AI treat it like a team member who needs coaching, not a switch they flipped.
The takeaway
AI doesn't replace good service. It raises the bar for it. The real question isn't AI or humans. It's who's designing the whole model, and whether they're accountable for the result.
Tomorrow, in Part 2, we'll show you the whole model: how we decide what Fin handles and what our people handle.
Want to see what the whole model looks like for your support operation? Click here to book a call with the team.
FAQs
Will my customers know they're talking to AI?
They should. We recommend telling customers upfront that they're chatting with an AI agent and making it easy to reach a person whenever they want. Transparency builds trust, and trust is what makes customers happy to use AI.
What happens when Fin can't answer a question?
Fin hands the conversation over to a person, either one of our agents or your own team. We design that handover so the agent picks up with the full context and the customer never has to repeat themselves.
Is AI in customer support only worth it for big businesses?
No. AI can make a difference at almost any size, especially if your team answers the same questions every day or your customers need help outside office hours. What matters is how many repeatable questions you get and how good your content is, not your headcount. Our shared agent model also means you don't need a full team to have people behind the AI.
How quickly will we see results?
It depends on where you start. A well-maintained help centre means faster early wins. Either way, the biggest gains come from ongoing optimisation: reviewing unresolved conversations, filling content gaps and refining handovers over time.
Do we need to change our helpdesk to use Fin?
Not necessarily. Fin runs natively in Intercom, Fin's own helpdesk, and also connects to Zendesk, Salesforce, Freshdesk and HubSpot. We'll review your current setup during discovery and recommend the right route.
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