Freshdesk AI automations: A complete 2026 guide

Stevia Putri
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Stevia Putri

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Katelin Teen

Last edited January 16, 2026

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Freshdesk AI automations: A complete 2026 guide

If you’re on a customer support team, you know the feeling. The ticket queue is always full, customers need answers now, and your team is stretched thin. It’s a constant balancing act. That’s why so many teams are looking at AI automation, not as some futuristic novelty, but as a practical tool to keep things running smoothly.

This guide is all about the native Freshdesk AI automations. We'll get into what its core AI, Freddy, can actually do, how to set it up, and what the pricing looks like. We'll also talk about how to maximize these capabilities and show you how adding a specialized AI layer can help you build a support system that’s genuinely helpful and ready to grow with you.

What are Freshdesk AI automations?

So, what are Freshdesk AI automations? In short, they’re the set of features inside Freshdesk that use artificial intelligence to handle repetitive tasks, give agents a hand, and make the customer experience a bit smoother. The brain behind all of this is Freddy AI, Freshdesk’s own AI engine.

Freddy's job is split into two main roles:

  • AI Agents: Think of these as the customer-facing chatbots. They hang out on your support channels to provide quick answers and point people to self-service options, aiming to solve the simple stuff without needing a human.

  • AI Copilot: This is the agent's sidekick. It works behind the scenes in the helpdesk to help draft replies, summarize long email chains, and pull up relevant info.

Key features of native Freshdesk AI automations

Freddy AI has a few tricks up its sleeve to help manage the daily grind of support work. Here’s a look at what it can do straight out of the box.

Automated ticket management

Let's be honest, nobody enjoys manually sorting and assigning tickets. Freddy AI helps with this by reading incoming tickets and suggesting the right category, priority, and status. It can also handle ticket routing, sending a request to the right agent or group based on things like their skills or how busy they are. It just means less time spent on admin and quicker handoffs to the person who can actually fix the problem.

AI-powered self-service

Any ticket that doesn't get created is a win. Freshdesk uses AI to power its chatbots, which can answer common questions by digging through your public knowledge base. The AI can also suggest help articles to customers as they’re typing a new ticket, which sometimes solves their problem before they even click "submit."

The Email AI Agent

For teams living in their email inbox, the Email AI Agent is a big deal. It works by reading a customer's email, figuring out what they're asking for, and then searching the public Freshdesk knowledge base for answers. From there, it generates a summary and sends it back. If the customer finds the answer helpful, the agent can even resolve the ticket automatically.

The Freddy AI Copilot for agents

The AI Copilot is designed to make your human agents' lives a little easier. It sits right in their workspace and acts as an assistant. It’s pretty good at summarizing long, complicated ticket histories into a few bullet points, suggesting canned responses or macros, and helping make sure everyone on the team is using a consistent tone.

This video provides an overview of how the Freddy AI agent works to provide self-service and instant resolutions for customers.

Setting up and managing Freshdesk AI automations

Getting Freshdesk's AI up and running isn't as simple as flipping a switch. It takes a bit of thought to get it working the way you want. You don’t have to be a developer, but you do need to tell the AI how to behave.

The setup usually involves a few steps:

  • Setting up trigger rules: First, you have to tell the AI when to jump in. For the Email AI Agent, for example, its only trigger is when a new email ticket is created. You can set rules based on ticket details, who the customer is, or their company.

  • Configuring languages: You’ll need to pick which languages you want the AI to work in. This really depends on what languages your knowledge base is written in and where your customers are.

  • Editing templates: The AI uses standard templates for its emails. You'll want to go in and tweak these for each language so they sound like they're coming from your brand, not a robot.

  • Adjusting advanced settings: To keep the AI focused, you can add some guardrails. For instance, you can cap the number of tickets it’s allowed to handle each day. This is helpful for managing workflows and rolling out the AI slowly.

Key considerations for native Freshdesk AI automations (and how to maximize them)

While Freshdesk's built-in AI is a powerful starting point, you can expand its capabilities even further as you scale or deal with more complex customer problems. Here are a few key considerations and how to address them.

Consideration 1: Expanding your knowledge sources

Freshdesk AI is designed to learn primarily from information stored inside Freshdesk, like your public help articles.

However, company knowledge can often be distributed across various platforms, such as Confluence, Google Docs, Notion, and Slack threads. While Freddy focuses on your help desk data, you can broaden its reach by integrating these sources.

An infographic illustrating how eesel AI centralizes knowledge from different sources to power Freshdesk AI automations.
An infographic illustrating how eesel AI centralizes knowledge from different sources to power Freshdesk AI automations.

This is where a tool like eesel AI comes in. It connects to all of your company’s knowledge, wherever it lives. With one-click integrations, it securely learns from past tickets, internal wikis, and private docs. This complements your Freshdesk setup, giving your AI a complete picture so it can provide even more comprehensive answers.

Consideration 2: Testing and refining for quality assurance

Deploying AI to interact with customers is an exciting step. Freshdesk makes this process very direct. For teams that want to see exactly how their AI will handle real questions before going live, simulation tools can be a great addition to the workflow.

This allows you to ensure high-quality interactions from day one and helps build even more trust with your customers.

A screenshot showing the simulation mode in eesel AI for testing Freshdesk AI automations.
A screenshot showing the simulation mode in eesel AI for testing Freshdesk AI automations.

eesel AI is designed to complement this process. It includes a simulation mode that lets you test your AI on thousands of your own past tickets in a safe environment. You can see exactly how it would have responded, get solid forecasts on resolution rates, and fine-tune its behavior before it ever talks to a single customer.

Consideration 3: Customizing complex AI workflows

Freshdesk provides excellent out-of-the-box triggers and actions. The AI is highly effective at suggesting articles and sending pre-written replies.

For cases where you need the AI to perform more specialized tasks—like looking up an order status in Shopify or checking account details in a private database—you can enhance your setup with specialized agentic AI tools.

A screenshot of the customization and action workflow screen in eesel AI, an alternative to native Freshdesk AI automations.
A screenshot of the customization and action workflow screen in eesel AI, an alternative to native Freshdesk AI automations.

By pairing Freshdesk with a tool like eesel AI, you get an even more powerful workflow engine. Its prompt editor and support for custom API actions let you define precisely how your AI should behave. You can teach it to perform complex tasks and look up real-time information from other tools, giving you total control to build AI workflows that perfectly match your business needs.

A closer look at Freshdesk AI pricing

Freshdesk offers tiered plans that match different team sizes and needs. The AI features are available as powerful add-ons that scale with your organization.

Based on their current pricing, here’s a look at the options:

Feature / Add-onPlan AvailabilityCostBilling Model
Freddy AI CopilotPro & Enterprise$29/agent/monthPer Agent
Freddy AI AgentPro & Enterprise$100 per 1,000 sessionsPer Session (Usage-Based)

The usage-based pricing for the AI Agent allows your costs to scale alongside your support volume. This means you only pay for what you use, which can be a very efficient model for growing teams.

A screenshot of eesel AI Pricing Page
A screenshot of eesel AI Pricing Page

For teams looking for additional predictability, eesel AI's pricing is designed to be a simple, flat-rate alternative. Our plans are based on a set number of interactions per month, which keeps your costs stable and allows you to handle more support volume without any surprises on your invoice.

Should you use native Freshdesk AI automations?

So, what's the verdict? Native Freshdesk AI automations are an excellent choice for teams looking to leverage a mature, reliable platform. Freddy is incredibly strong at ticket routing and deflecting common questions using your existing Freshdesk knowledge base.

As your support needs evolve, you can continue to build on this solid foundation. By integrating specialized tools that work alongside Freshdesk, you can unlock even deeper customization and connect more diverse knowledge sources.

To build a support system that truly scales, starting with a market leader like Freshdesk and supplementing it with specialized tools is the most effective way to drive efficiency and deliver a top-tier customer experience.

Ready to upgrade your Freshdesk AI automations?

See how eesel AI integrates with Freshdesk in minutes to bring all your knowledge together, give you full control over your workflows, and provide powerful, accurate support.

Start your free trial or book a demo to see it in action.

Frequently asked questions

Freshdesk AI automations use Freddy AI to handle repetitive tasks, assist agents, and improve the overall customer experience. They function as customer-facing AI Agents (chatbots) and agent-assisting AI Copilots.

These automations assist by reading new tickets, suggesting appropriate categories, priorities, and statuses. They can also route tickets to the correct agent or group, reducing manual sorting and speeding up problem resolution.

Freshdesk AI automations are robust and focus on optimizing internal Freshdesk workflows. For teams looking to integrate external data or specialized simulation environments, the platform's flexible ecosystem allows for easy pairing with complementary tools to expand its reach.

Native Freshdesk AI automations are optimized to learn from information stored within the Freshdesk ecosystem, such as your public knowledge base. To include company-wide knowledge found in external platforms like Google Docs, Confluence, or Slack, you can use complementary integrations.

The Freddy AI Copilot is typically priced per agent per month, whereas the Freddy AI Agent uses a usage-based pricing model of $100 per 1,000 sessions. This allows teams to scale their costs based on their actual support volume.

Native Freshdesk AI automations are built for efficient, direct deployment. For teams that prefer a simulation mode to test AI responses on past tickets before going live, there are complementary tools available in the Freshdesk ecosystem to provide that extra layer of preview.

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Stevia Putri

Stevia Putri is a marketing generalist at eesel AI, where she helps turn powerful AI tools into stories that resonate. She’s driven by curiosity, clarity, and the human side of technology.