A complete guide to the Freshdesk Confluence integration in 2025

Stevia Putri

Katelin Teen
Last edited October 23, 2025
Expert Verified

Let’s paint a picture that might feel a little too real. Your support team is crushing tickets in Freshdesk, but all the company’s deep knowledge, the product guides, the troubleshooting docs, the internal policies, is neatly organized in Confluence. This setup is super common, but it creates a gap that’s honestly just frustrating.
Agents spend their day bouncing between tabs, copying and pasting answers, and scrambling to find the right document. It leads to slower replies, inconsistent answers, and the never-ending chore of trying to keep the Freshdesk knowledge base in sync with the real source of truth in Confluence.
This guide will walk you through the ways teams try to build a Freshdesk Confluence bridge, from marketplace apps to automation tools. We’ll get into their limitations and then talk about a more modern, AI-powered way to unify your knowledge without just moving it around.
The Freshdesk Confluence integration challenge
Before we get into the solutions, let's quickly get on the same page about the tools and the headache they cause when they don't talk to each other.
What is Freshdesk?
Freshdesk is a customer service platform where businesses handle all their customer conversations. It’s built around a central ticketing system that pulls in questions from email, chat, phone, and social media. It’s the command center where your support agents live and breathe every day. You can also boost its capabilities with tools like the eesel AI Freshdesk integration.
What is Confluence?
Confluence is a workspace where teams build out and organize knowledge. It's the go-to spot for creating detailed product documentation, internal company wikis, and project plans. For many companies, it’s the official library for their most important information. If you're looking to connect it to your other tools, the eesel AI Confluence integration can help.
The core Freshdesk Confluence problem: A constant knowledge gap
The issue isn't just that you're using two different tools. It's the drain on efficiency it creates. When the place where your knowledge lives (Confluence) is cut off from the place where your team works (Freshdesk), you start hitting some real pain points:
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Agents have to put customers on hold while they dig through another system to find the latest info.
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Someone is stuck with the manual, error-prone job of copying content from Confluence to update the Freshdesk knowledge base.
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Customers get inconsistent or outdated answers because an agent couldn't find the right document fast enough.
Traditional Freshdesk Confluence integration approaches
Many teams try to fix this knowledge gap with tools they find on the shelf. While these can offer a bit of a band-aid, they often come with their own set of problems.
Manual sync with third-party marketplace apps
The most common first step is to grab an app from the Freshworks or Atlassian marketplaces, like "Knowledge Sync: Confluence to Freshdesk." The idea is simple: install the app, connect your accounts, and tell it which Confluence pages to watch. The app then copies that content into your Freshdesk knowledge base as new articles.
Sounds easy enough, but this method has some serious drawbacks:
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You create copies of everything. Suddenly, you have two versions of the same document. If an update happens in Confluence, it might not show up in Freshdesk right away, meaning your team could be using old information. This pretty much defeats the purpose of having a single source of truth.
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It only works for Confluence. These apps are a one-trick pony. They can't pull in knowledge from other important places your team might need, like Google Docs, past tickets, or key Slack threads. Your knowledge is still stuck in silos.
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It’s a one-way street. The sync usually only goes from Confluence to Freshdesk. It does nothing to help you capture the great solutions your agents come up with in tickets and get that wisdom back into your main wiki.
Workflow automation with iPaaS tools
Another approach is to use an integration platform (often called iPaaS) like Zapier, Integrately, or n8n. These tools let you build little "if this, then that" recipes between your apps. For instance, you could set up a rule that says, "When a new page is published in Confluence, create a new draft article in Freshdesk."
This gives you more control than a marketplace app, but it's far from a perfect fix:
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The workflows are brittle. These connections can break easily. A tiny change to an API in either Freshdesk or Confluence can snap your workflow, and then you need someone technical to figure out what went wrong. The upkeep can become a real headache.
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It's not built for real-time answers. This method is all about moving data from one place to another, not getting live information. An agent can't use it to ask a question during a chat and get an immediate answer from Confluence. They’re still at the mercy of the sync schedule.
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The costs can be a surprise. Many of these platforms charge you for every "task" or "run." If you have a busy month with lots of content updates, your bill can shoot up unexpectedly.
Limitations of native AI and traditional integrations
Even with Freshdesk's own AI and the integrations we just talked about, one fundamental problem doesn't go away: your knowledge is still scattered.
The limitations of Freshdesk's native AI (Freddy AI)
Freshdesk’s built-in AI, Freddy AI, is pretty good at learning from the data that’s already inside Freshdesk. It can look at old tickets and articles in its own knowledge base to suggest replies or run chatbots.
The catch is that it operates in a walled garden. It can't dynamically pull from and understand the wealth of information sitting in external places like Confluence without a slow, clunky sync process. Your AI is only as smart as the data you manually copy into its little bubble. It knows what's in the copy, not what's true at this very moment in your source of truth.
The problem with a fragmented Freshdesk Confluence approach
Trying to patch everything together with syncs and automations creates a fragile system held together by digital duct tape. You end up with the same old problems:
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Stale Information: Because of sync delays, an agent might use an answer from the Freshdesk knowledge base that's hours out of date, even if the original Confluence doc is correct. This is a recipe for giving customers the wrong info.
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Incomplete Knowledge: Sometimes the right answer isn't in Confluence. It might be in a Slack thread from this morning, a Google Doc, or a similar ticket that was resolved last week. Traditional integrations don't even look in those places.
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No big picture. For an AI to be truly helpful, it needs a brain that can access all of your company's knowledge at once to give the most accurate answer. A simple sync just creates a slightly less outdated copy of one slice of your company's wisdom.
An infographic showing how eesel AI unifies knowledge from multiple sources like Freshdesk and Confluence to provide a single source of truth.
A modern Freshdesk Confluence approach: Unifying knowledge with an AI layer
Instead of trying to force two systems to sync up, a better way is to use an intelligent AI layer that sits on top of your existing tools. It connects them without moving or duplicating a single file.
How eesel AI bridges the Freshdesk Confluence gap
This is where eesel AI comes in. Unlike tools that need a lot of setup and constant babysitting, eesel AI connects to Freshdesk, Confluence, Google Docs, past tickets, and over 100 other sources in just a few minutes. It doesn't copy your content. Instead, it creates a unified knowledge layer that its AI can tap into in real-time.
This unified brain then powers AI tools right inside the Freshdesk interface, where your team is already working:
- AI Copilot: It drafts accurate, on-brand replies for your agents. It can pull an answer directly from a Confluence page, cite the source, and give your agents the confidence to respond quickly and correctly.
Screenshot of the eesel AI Copilot drafting a reply inside a helpdesk, pulling information from the unified Freshdesk Confluence knowledge base.
- AI Agent: It can handle frontline tickets all on its own, instantly finding answers from your entire knowledge base (not just what's in Freshdesk). It can resolve common questions 24/7, freeing up your team to focus on trickier issues.
The best part? You can try it out without any guesswork. With eesel AI's simulation mode, you can see exactly how the AI would have answered thousands of your past tickets using your Confluence knowledge. This gives you a clear forecast of your automation rate and savings before you turn it on for customers, removing all the risk of going live.
The eesel AI simulation mode showing how it would have resolved past tickets using Freshdesk and Confluence knowledge.
Comparing Freshdesk Confluence integration options
To help make the choice clearer, here’s a quick breakdown of how the different solutions stack up.
| Feature | Marketplace Sync App | iPaaS Automation (e.g., Zapier) | eesel AI |
|---|---|---|---|
| Real-Time Knowledge Access | ❌ (Relies on delayed syncs) | ❌ (Workflow-based, not instant) | ✅ (Instant access to the latest info) |
| Connects Multiple Sources | ❌ (Confluence only) | ✅ (But each one is a complex setup) | ✅ (Connects 100+ sources easily) |
| AI Reply Generation | ❌ | ❌ | ✅ (AI Copilot drafts replies in Freshdesk) |
| Autonomous Resolution | ❌ | ❌ | ✅ (AI Agent resolves tickets 24/7) |
| Setup & Maintenance | Low | High | ✅ Low (Go live in minutes) |
| Pricing Model | One-time/Subscription | Per Task/Automation | ✅ Predictable (Based on interactions) |
Freshdesk pricing overview
Just for context, here’s a quick look at Freshdesk's pricing plans for their support desk software, which you'll need for any integration. These prices are for annual billing.
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Growth: $15 per agent/month. This gets you ticketing, a knowledge base, and basic reports.
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Pro: $49 per agent/month. Adds custom roles, better automation, and support for multiple products.
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Enterprise: $79 per agent/month. Includes skill-based ticket routing, audit logs, and a sandbox environment.
Stop syncing, start unifying your Freshdesk Confluence setup
If you're still wrestling with manual syncs and fragile workflows to connect Freshdesk and Confluence, it might be time for a new approach. The old way creates more work, leads to stale information, and doesn't give your support team the complete knowledge they need to be great at their jobs.
The future of customer support is about unifying your knowledge, not just shuffling it around. By using a smart AI layer like eesel AI, you give your team instant access to everything the company knows, right inside Freshdesk. That means faster resolutions, happier customers, and a team that can finally stop switching tabs.
Stop wasting time managing a broken bridge between your tools. See how you can connect your Freshdesk Confluence knowledge and unlock real support automation. You can start a free trial of eesel AI today.
Frequently asked questions
The primary challenge is the knowledge gap. Confluence holds critical information, but Freshdesk agents struggle to access it quickly, leading to slow responses, inconsistent answers, and the need for manual, error-prone content duplication.
Traditional methods often create duplicate content, leading to stale information and maintenance headaches. They also typically only offer one-way syncs and are limited to Confluence, failing to unify knowledge from other sources or provide real-time, dynamic answers.
Instead of copying data, eesel AI creates a unified knowledge layer across your existing tools, including Freshdesk and Confluence. Its AI can then access this entire knowledge base in real-time to generate accurate replies or resolve tickets autonomously.
eesel AI goes beyond just Freshdesk Confluence. It connects to over 100 sources, including Google Docs, Slack, and past tickets, creating a comprehensive knowledge base for your AI to leverage, ensuring all relevant information is accessible.
An AI layer provides instant, real-time access to the latest information across all sources, reducing stale answers and improving accuracy. It also empowers AI Copilots to draft replies and AI Agents to resolve tickets autonomously, boosting efficiency.
Solutions like eesel AI are designed for quick setup, often going live in minutes. They connect to your existing tools without complex workflows or content migration, making the process straightforward and low-maintenance.
An AI layer significantly improves consistency by accessing a unified, real-time knowledge base. This ensures agents and AI tools always pull the most current and accurate information from Confluence and other sources, eliminating discrepancies caused by outdated syncs.







