How Zendesk AI Agents and Intercom Fin Stack Up in Real Customer Support Scenarios

What’s better: Zendesk’s AI Agents or Intercom’s Fin?

When evaluating Zendesk AI agents vs Intercom Fin, most comparison articles give you feature lists and marketing claims.

But what you really need is insight from people who’ve actually deployed these AI tools in the real world, seen what’s working (and what’s not), and figured out how to make each tool work for their support teams.

That’s what this post is about.

In preparation for writing, I spoke with an expert on each tool:

• Brandon Tidd, Lead Zendesk Architect at 729 Solutions (a Zendesk Premier Implementation Partner). Brandon is a certified Zendesk Administrator and had been working at 729 Solutions for more than five years, spearheading many of their AI-related initiatives for clients.
• Nouran Smogluk, Director of Support at Hospitable, who’s been running Intercom’s Fin at scale there – with 45 people on the support team and up to 15,000 tickets per month. Nouran has seen all the ins and outs as Fin has evolved over the last few years.

Both experts have hands-on experience optimizing these AI agents for complex support operations, and we’re going to dive deep into their experiences below. 

If you’re trying to decide between Zendesk AI agents vs Intercom Fin for your customer service needs, this comparison will give you the practical perspective you need to make the right call.

How AI Agents Work in Zendesk and Intercom Environments?

Before diving into the comparison, let’s cover how these AI agents actually function within their respective platforms.

Zendesk’s AI Agent Approach

Zendesk offers a tiered AI system with three different products or tiers:

Zendesk Agent Copilot focuses on assisting your human agents and making them more efficient.

It includes features like:

• Auto assist, which understands a ticket’s contents and suggests how to solve them.
• Suggested first replies, which uses AI to suggest a first response based on your help center and macros.
• Tone of voice and writing enhancements, which make writing on-brand customer messages with an appropriate tone easy. 

“Being able to summarize a ticket and draft a response in perfect ‘customer service’ tone is an accelerant for new hires and managers alike,” Brandon says. That’s why the tone and writing enhancement features inside of Agent Copilot are particularly valuable. 

There’s also a hidden gem in Copilot that often gets overlooked:

“Zendesk Agent Copilot actually generates net new macros once a month based on your ticket data,” per Brandon. “But these are hidden in the macros menu of the Admin Center under a tab called ‘Macro Suggestions’, so unfortunately sometimes they get overlooked by Zendesk teams.“

Zendesk AI Agents – Essential is included in all Zendesk Suite and Support Plans. It lets you start automating responses to tickets quickly and easily, based on your Zendesk help center content. According to Brandon, “it pretty much works out of the box, provided that you do have a help center setup.“

If your help center is outdated or you’re struggling to manage it effectively, you’ll struggle to see the value from AI Agents.

Help Center Manager and Help Center Analytics are both great Zendesk apps that can make managing and understanding the performance of your Zendesk help center far easier. 

Zendesk AI Agents – Advanced is a paid add-on, and it gives you advanced AI functionality. AI Agents – Advanced can integrate deeply into your tech stack, including payment portals and shipping sites.

If working with Zendesk AI Agents you may want to take a look at Swifteq’s AI Co-writer.

Brandon estimates that if AI Agents – Advanced is set up properly, it’s possible to successfully deflect up to 80% of complex customer questions and requests.

Intercom’s Fin Philosophy

Intercom takes a different approach with Fin, emphasizing ease of setup and ongoing optimization.

The barrier to getting started is remarkably low—per Nouran, you need “some amount of help articles to train the AI” but not necessarily a comprehensive help center to start seeing value.

Fin’s real power comes from its optimization tools. The platform includes a feature called “Optimize” that automatically reviews unresolved conversations and highlights specific content gaps.

As Nouran describes it: “They look at the response that our team member provided, and then they say, oh, okay, Fin would have been able to answer this if it had access to this information.” As you add that new information, Fin gets better and better.

Intercom also offers extensive native integrations and data connectors that allows Fin to make API calls and pull real-time information from other systems in your tech stack.

At Hospitable, this capability has been game-changing for resolving customer conversations. Nouran notes they’re “currently at about 60% resolution rate” with Fin handling 90% of incoming conversations.

Notably, Intercom’s also made the strategic decision to make Fin available to work on other major helpdesk platforms, including Zendesk, Salesforce, Hubspot, and Freshdesk.

Zendesk AI Agents vs Intercom Fin: Main Use Cases

When customers reach out for help, how effectively can these two AI agents actually respond? 

This is where the rubber meets the road, and it’s interesting how Zendesk and Intercom take notably different approaches. 

Reply Capabilities

Zendesk’s Strength: Enterprise complexity and intelligent routing 

Zendesk AI excels in environments where intelligent ticket routing matters. 

For instance, Brandon shared an example of an enterprise client using Zendesk AI’s Intelligent Triage (combined with Zendesk’s native omnichannel routing and skills-based routing features) to come up with a 12-point escalation model.

The model would bring their newest agents in to help with the most basic inquiries that still required human help, then eventually spill tickets into the more advanced teams as capacity limits were hit. This all happened in real-time, helping the client hit their SLAs and ensuring customers were helped promptly.

The system also shines in retail, hospitality, and increasingly in employee experience use cases (like HR and IT teams). Zendesk has invested heavily over the past couple of years in enhancing the Employee Service experience, and it’s likely we’ll see more of this in the future.

Intercom’s Strength: Conversational versatility and personalization 

Fin demonstrates remarkable ability to handle complex, multi-turn conversations. Nouran emphasizes that Fin can “string together” multiple data connectors to solve problems that don’t have straightforward answers.

“When someone asks a question, Fin will evaluate if it can solve it directly,” she summarizes. “If not, the system is smart enough to pull together a bunch of different information to find indirect solutions that still resolve the problem.”

What particularly impressed Nouran was Fin’s versatility. It’s great at far more than answering simple questions.

Her team uses Fin to draft feature requests, compose guest communications, and even as a personal training assistant when learning the platform. “People who are really able to use AI can get just so much value out of that interaction,” she notes.

Copilot Features

Both platforms offer AI assistance for human agents, but with different approaches.

Zendesk Agent Copilot learns your team’s tone over time and can automatically generate macros and draft replies based on ticket patterns and help center data.

The tone-shift and sentiment analysis work from day one, while more advanced features need time to learn your specific communication style. 

Most customers see “immediate short term gains and longer, deeper gains in 2-4 months,” according to Brandon.

Intercom’s Fin doesn’t have a separate “copilot” product, but it does include an AI Copilot that acts as an AI assistant for human team members. Agents can treat it like their own personal chatbot, asking it to draft replies and take action on their behalf.

Voice Support

Although Zendesk Voice can provide some assistance to phone support agents and Intercom’s Fin Voice allows it to function as an AI agent, I think it’s fair to say that neither platform currently offers voice AI capabilities that are as mature as their chat implementations. 

If voice AI is critical for your operation today, you’ll likely need to integrate third-party solutions with either platform.

But the space is changing and these products are evolving quickly, so it’s definitely worth checking to see what’s changed before making a decision.

The Setup: Getting Your AI Agent Live

Zendesk AI Setup

Timeline: Immediate basic functionality, 2-4 months for optimization

Because of Zendesk’s different AI products, Brandon explains that the setup process and the time to value can vary. “AI Agents – Essential pretty much works right out of the box, as long as you have a help center setup.”

That’s because AI Agents – Essential is trained solely on your help center, so there’s a direct connection between the quality and structure of your knowledge base and the results you’ll see. 

Agent Copilot is similar, in that some of its features start working immediately. As your team engages with the Copilot more, its ability to match your tone and intents will improve.

Zendesk’s AI Agents – Advanced is a different animal. “Guided setup is usually required to get the most out of AI Agents – Advanced,” says Brendan. “That might mean devoting someone in-house to it, or it might mean working with a professional implementation partner like us.”

The payoff of implementing AI Agents – Advanced can be huge, but because it integrates far more deeply into your tech stack and is meant to handle more complex customer problems, it takes real expertise to see results.

Intercom Fin Setup

Timeline: 1-2 weeks to see initial value

Nouran’s experience with Fin suggests a faster path to value: “I know a bunch of people who’ve seen a lot of value from Fin within one to two weeks of setting it up.“

In addition to that quick time to value, Fin’s may also be easier to set up. “In 90% of circumstances, support teams can handle implementation themselves,” Nouran explains.

But she points out a big caveat: to get maximum value from Fin, you’ll want engineering resources to help with advanced data connectors and personalization based on customer attributes. 

At Hospitable, they use data connectors extensively to pull reservation details, user information, and property data—but Nouran estimates that it’s about the last 10% of the impact that’s really reliant on the data connectors.

In summary, those engineering resources and advanced connectors aren’t required to launch and see value from Fin, but they will help you maximize the value of the AI agent over time.

Nouran is a big fan of how quickly brands can get started using Fin: “It’s literally a few buttons,” she says. “You don’t need developer resources for a basic implementation, or even a crazy comprehensive help center.”

Fin can train on help articles, internal snippets, and external documentation sources, all of which are easy to connect to the platform.

Ease of Use: Day-to-Day Operations

For Support Teams

Zendesk: The complexity of Zendesk’s AI suite means there’s a learning curve, but Brandon notes that the tools become invaluable once mastered.

In his experience, the shift from session-based chats with human agents to an “always on” AI concierge has been particularly helpful for clients in capturing customers when they’re on the site.

Intercom: Nouran emphasizes the minimal maintenance burden of Fin: “The beauty of these AI systems is that with every update to your knowledge base and every ticket you respond to manually, the tools get smarter.”

Fin’s optimization feature does a lot of the heavy lifting in identifying improvement opportunities.

For Administrators

Zendesk: Like many things with Zendesk’s AI Agents, the different products or tiers come with different levels of work for admins.

Brandon highlighted that Zendesk recently launched AI Agent instructions, which allow admins to set “hard and fast rules of engagement” for the agents, giving more precise control over how the bot interacts with customers. 

The Copilot and Essential tier are relatively straightforward to setup and use, so the administrative workload is minimal.

However, Brandon really wishes Zendesk would put more of the bot building experience back into the Essential tier, allowing admins to do more customization without the higher price point of the Advanced tier. 

Intercom: The admin experience centers around weekly suggestions and optimization  recommendations.

Nouran describes it as “very practical and very easy” to manage, and she highlights that as long as you stay on top of those recommendations, you’ll keep optimizing your content over time as well.

Features and Capabilities

Beyond the basic ability to answer customer questions, modern AI agents also often need to manage knowledge, take actions to resolve issues, and provide visibility into performance. 

Here’s a quick snapshot comparing how Brandon and Nouran think Zendesk AI agents and Intercom’s Fin stack up across the core capabilities that matter most to support teams.

AI Agent Customization and Control

While AI agents can be incredibly helpful, they also bring inherent risks: what if they get things wrong? What if they misrepresent your brand? What if they frustrate customers because they’re unable to complete basic tasks effectively?

Let’s look at three areas where customization and control really matter.

Tone and Personality

Zendesk: AI Agent – Essentials offers three preset personalities, while Advanced gives support teams more flexibility to dictate the agent’s tone and personality. Agent Copilot learns from your team’s manual inputs over time. 

That being said, Brandon pointed out that all three are constantly learning from your team’s interactions with customers, so each should get better over time.

Intercom: Intercom allows natural language guidance prompts to shape Fin’s behavior. You can describe the overall tone, specify how to ask for more information, and define escalation triggers.

At Hospitable, Nouran’s setup includes detailed guidance for Fin on customer  interaction style and information gathering.

Workflows and Decision Trees

Zendesk: AI Agent -Advanced users can set up dynamic, custom workflows and processes based on use cases and their unique tech stacks. But AI Agents – Essentials only includes “some limited pathing out of the box,” according to Brandon.

Intercom: Fin includes both “tasks” (if-this-then-that style decision trees) and “procedures” (natural language SOPs). Nouran highlighted how procedures are particularly powerful.

For example, you can feed Fin a standard operating procedure document that your team uses, and it will follow that workflow. Within both tasks and procedures you can set rules in place like “always escalate to our team if this happens” or “suggest the action, but don’t run it until it’s approved by a person.“

Guardrails

Zendesk: “The nice thing about Zendesk AI is that it’s ultimately grounded in your knowledge base,” says Brandon. “That means the margin for error is really small.”

Of course, that assumes you’re knowledge management processes are working, but it’s a great point and a good guardrail to minimize the risk of hallucinations or the agent going off the rails.

Intercom: Fin’s interactions are also grounded in the content you train it on, whether that’s just your help center or other SOPs and documents.

Tasks and procedures add another layer of guardrails, where you can dictate how the agent interacts and operates. Nouran also loves how Fin clearly identifies when it doesn’t have information (rather than making up answers on the spot).

Security and Compliance

Both Zendesk’s AI Agents and Fin follow modern best practices for data security and compliance. Processes and certifications can change at any time, so I recommend checking out each platform’s resources to confirm if they’ll meet your needs:

• Zendesk’s AI Data Use
• Intercom’s Trust Center

Costs and ROI

While pricing is subject to change at any time, here’s a quick comparison of the costs and ROI of Zendesk’s AI products and Intercom’s Fin.

Zendesk AI Agent Pricing 

Zendesk’s three AI tools come at different price points:

• Agent Copilot – $50 per agent per month. It’s predictable and scalable, but can be costly for large teams.
• AI Agents – Essential – included in all Zendesk Support and Zendesk Suite plans. Your plan includes a limited number of automated resolutions, after which you’ll pay per additional resolution. 
• AI Agents – Advanced – paid add-on, billed based on automated resolutions.

Brandon highlighted how the biggest challenge with Zendesk’s AI pricing is the automated resolutions piece. If you’re not careful, it can bring some unwanted surprises:

“Zendesk is still working with Automated Resolutions and Outcome Based Pricing.  We’ve seen small teams burn through a year’s worth of resolutions in just a few weeks.”

While the tool can work great, small teams need to be particularly careful with capacity planning and the assumptions they make to avoid burning through their resolution budget too quickly.

Intercom’s Fin Pricing 

Intercom charges $0.99 per resolution for Fin. If you’re using Intercom as your helpdesk tool there are additional helpdesk costs, but if you’re using Fin with a helpdesk like Zendesk or Salesforce, you’ll pay the price per resolution.

Real AI Agent ROI Numbers

Nouran was really clear about Hospitable’s ROI with Fin over the past two years:

• 90% involvement rate (Fin’s involved in nearly every conversation).
• 60% resolution rate (successfully resolving without human help).
• CSAT scores are in the upper 80s.

She estimates that the all-in cost per Fin resolutions is approximately $5 ($0.99 from Intercom, plus the cost of data connectors, engineering resources needed throughout the year, etc.). But it’s a no-brainer for her, because the cost per ticket resolved by a human is ~$30. 

Brandon doesn’t have quite as much clarity on the ROI of Zendesk’s AI Agents. That’s not because the AI Agent is ineffective, it’s purely because he works with so many different Zendesk clients.

Those clients consistently report seeing decreased time spent on tickets, improved customer satisfaction, and faster onboarding of human agents, but the exact metrics vary by implementation complexity and tier used.

As mentioned earlier, if you’re using AI Agents – Advanced and your system and processes are set up really well, Brandon estimates a 90% deflection rate is an achievable goal.

Note: If you’re using AI to handle more tickets, automation tools become even more valuable.

Zendesk Triggers+ChatGPT can automatically extract information, categorize tickets, translate content, and auto-resolve simple thank-you messages, all the things that Fin or Zendesk’s AI Agents don’t handle.

The Verdict: Zendesk AI Agents vs Intercom Fin

After synthesizing the stories and insights from Brandon and Nouran’s experience, here’s what’s clear to me:

Choose Zendesk AI if:

• You’re already using Zendesk and want to test out AI features. Start with the included AI Agents – Essentials, then expand to Copilot or Advanced when you’re ready.
• You have a solid Zendesk help center in place.
• You’re an enterprise with complex routing needs and multiple support tiers.
• You need deep integration with payment systems, shipping platforms, or other business tools (you’ll likely need to pay for the Advanced tier).

Choose Intercom’s Fin if:

• You want the fastest path to value (1-2 weeks vs. 2-4 months).
• You need flexible content sources beyond just help center articles.
• You have or can develop API connections to make Fin truly contextual.
• You value extensive optimization tools and actionable suggestions.
• You’re not on Zendesk (or you are on Zendesk and want to take advantage of the above benefits).

While that’s a high-level overview, there are a few other things to keep in mind:

• You’ll never see maximum value from either platform if you’re not willing to invest time and energy in training and optimization.
• Both require high-quality, up-to-date content to train the AI agent.
• You’ll need to define clear escalation protocols from AI to human agents.

Both platforms can deliver impressive ROI, but the approach they take has some key differences. The real differentiator isn’t which platform is “better”—it’s more about which one aligns with your team’s capabilities and your customers’ needs. 

If you’re looking to maximize your Zendesk AI’s effectiveness, remember that quality help content is the foundation everything builds on.

 Want to see how other teams are leveraging AI in their support operations? Schedule a demo to learn how Swifteq’s apps (like Help Center Manager and Help Center Analytics) can complement your AI Agent strategy.

Written by Larry Barker

 

Larry has spent over a decade leading CX teams at tech companies of various sizes. He also currently operates Supported Content, a niche content marketing company that helps CX brands attract and retain customers.