# Gladly vs Arbyn: Per-Seat Support vs a Single AI Agent > The fundamental difference between Gladly's per-seat, human-centric model and Arbyn's flat-rate AI agent isn't just features, it's your entire support cost structure. Source: https://arbyn.app/blog/gladly-vs-arbyn-per-seat-support-vs-a-single-ai-agent Published: 2026-07-26 --- It’s Tuesday morning and you’re looking at two numbers that tell a frustrating story. The first is your support ticket volume from last week, which doubled to over four thousand overnight after a new handmade jewelry collection, promoted by a TikTok influencer, went viral. The second is the invoice from your helpdesk software, which is significantly higher than last month. Again. To handle the surge, you hired a sharp part-time agent, a move any good operations manager would make, but your software bill jumped by a full seat license as a result. This is the punishing reality of per-seat pricing: the cost of your essential tools scales directly with your headcount, not your overall business efficiency. Every time you add a person to solve a problem of growth, you pay a success tax, turning a sales victory into a cost-center headache. This comparison of Gladly vs Arbyn isn't about minor feature differences; it’s about this exact problem and the two fundamentally different philosophies for solving it. One doubles down on making each human agent more effective, while the other replaces the seat itself with a single, flat-rate AI agent. The Per-Seat Support Model and Its Hidden Costs For years, the default billing model for customer service software has been per-seat, or per-user, pricing, a structure that made sense when software was a simple tool for a human user. Platforms like Zendesk, Front, and Gladly have all built their empires on this simple foundation, a model that remains dominant across the SaaS landscape. On the surface, it makes intuitive sense: you pay for the number of people using the software. If you have a three-person support team, you pay for three seats, and if you grow to five, you pay for five. For instance, Zendesk's popular Suite Team plan costs $55 per agent per month when billed annually, while Front's pricing starts at $59 per seat. This model became standard because it’s simple to understand and easy for software vendors to sell, aligning their revenue directly with your team’s growth. For a growing Shopify store, however, this alignment quickly becomes a heavy financial liability. The cost structure inherently penalizes you for scaling your support operations in the most traditional way possible: by hiring more people, creating a psychological and financial barrier to getting the help you need. Let's consider the real-world math that keeps store owners up at night. A mid-sized helpdesk seat can cost anywhere from $50 to over $150 per agent per month, and that’s often just the starting price. Many platforms then layer on additional costs for the features you actually need to be competitive. Want advanced AI features to make your agents faster? That could be another $20 to $50 add-on, also charged per seat, turning your $150 seat into a $200 one. Suddenly, a single new hire doesn't just cost their salary and benefits; they come with a recurring monthly software tax that can easily exceed $2,400 a year. This dynamic creates painful decisions. Do you hire a part-time agent for weekends, knowing their seat will cost the same as a full-time one, effectively doubling their hourly software overhead and destroying the unit economics of their shift? Do you cross-train someone from marketing to jump into the queue during a product drop, forcing you to buy another expensive license for only a few hours of use per month? Per-seat pricing makes these common-sense operational moves financially inefficient, creating a ceiling on your ability to be flexible and leading to agent burnout and slower customer response times. This entire model is a holdover from a pre-AI era, where the only way to handle more conversations was to throw more human labor at the problem. The software was a tool to make those humans work, so pricing it by the human made logical sense at the time. But the nature of ecommerce support has fundamentally changed. A staggering portion of incoming tickets, with industry data consistently showing that 60-70% are repetitive and transactional, clog your queue. These are the classic "Where is my order?" (WISMO) requests, questions about return policies, and simple product inquiries. These inquiries don't require a human's creative problem-solving skills, yet they occupy a huge amount of your support team's time and mental energy. Paying a premium per-seat license for a trained employee to act as human middleware, copying and pasting tracking numbers between your helpdesk, your Shopify admin, and a carrier's website, is a massive operational drain. The per-seat model forces you to pay the same high price for every type of work, from complex, high-value consultations to mind-numbingly repetitive data entry. It’s a blunt instrument in a world that now allows for surgical precision. Gladly’s Philosophy: The Empowered Human Hero Gladly enters this market with a distinct and admirable philosophy: make the human agent a superhero. Instead of a traditional ticketing system that treats every new message as a discrete, numbered problem, Gladly organizes everything around the customer. Every interaction a person has ever had with your brand, whether it was an email about a damaged item two years ago, an SMS asking about sizing last week, or a live chat five minutes ago, is stitched into a single, lifelong conversation timeline. When an agent, or a "Hero" in Gladly's terminology, engages with a customer, they see the entire un-siloed history of that relationship in one place. This is a powerful shift. It eliminates the frustrating, brand-damaging experience where customers have to repeat their story and gives agents the full context needed to provide truly personal, high-empathy service. The platform is designed from the ground up to facilitate a deeper, more valuable connection between your brand and your customer, viewing service not as a cost center but as a loyalty-building opportunity that can significantly increase customer lifetime value. To further empower these human agents, Gladly layers in a sophisticated AI called Gladly Sidekick. This AI is designed to work in perfect concert with the human team, acting as a force multiplier. It can handle common inquiries on its own through self-service, acting as a first line of defense to resolve issues like order status or return processing without human intervention. But its core purpose is to make the human hero more efficient and effective. When a conversation is handed off from the AI to a person, it comes with full context and a summary, like "Customer asked for a return for order #5543. The item is eligible per your policy." The AI also provides "Assists," which are real-time suggestions, data points, and pre-drafted responses that help the human agent resolve the issue faster and with greater accuracy. This approach is fundamentally about augmenting the human, not replacing them. The goal is to free up agents from repetitive tasks so they can focus on the high-value, relationship-building conversations that Gladly’s platform is built to foster, maximizing the effectiveness of each person on your team. However, this elegant, human-centric model is still fundamentally shackled to per-seat pricing. While Gladly does not publish its pricing openly, its official listing on the Shopify App Store reveals a "Growth" plan starting at $1,500 per month for just 10 users, which is a base price of $150 per seat. This plan also includes metered fees for AI usage, such as a cost per AI-powered resolution, meaning you pay the premium seat price and then pay again for the AI's help. No matter how effective the AI makes each agent, you still pay for the agent's seat. If your volume grows to the point where you need an eleventh person for the holiday rush, your Gladly bill will increase by another $150 per month, a substantial jump. For all its sophisticated, customer-centric features, the pricing model operates on the same basic principle as older helpdesks: your cost is coupled to your headcount. The "hero" may be empowered with incredible tools, but the store owner is still paying for every hero on the roster, creating the exact same scaling dilemma. It's a premium, feature-rich evolution of the per-seat model, but it is an evolution, not a revolution in cost structure. The True Cost of Per-Seat AI The introduction of AI into per-seat platforms was meant to solve the efficiency problem, but it often just introduces a new layer of cost and complexity. Instead of a simple per-agent fee, store owners now face a multi-variable equation that is difficult to forecast. Your bill is no longer just the number of agents multiplied by the seat price. It's the seat price, plus a potential per-seat AI add-on fee, plus, in many cases, a usage-based fee for what the AI actually does. This creates a frustrating scenario where you effectively pay twice for the same outcome. You pay for the human agent's seat license, and then you pay again when the AI helps that agent work faster or resolves a ticket on their behalf. This is the model used not only by some newer platforms but also by established players like Help Scout, which charges its standard per-seat fee plus a $20 per user per month AI add-on that includes 50 AI resolutions, with additional resolutions costing more. This nickel-and-diming approach feels like a tax on the very efficiency you're trying to achieve. This hybrid pricing structure can quickly feel like a trap designed to penalize success. You invest in an AI add-on with the promise of reducing agent workload and containing costs, but as the AI successfully resolves more tickets, your usage-based fees climb relentlessly. The more effective the tool is, the more it can cost you, creating a confusing and unpredictable billing environment. The average cost to resolve an ecommerce support ticket through assisted channels can be significant, with some industry reports placing the cost of a single live agent interaction anywhere from $10 to over $20, depending on complexity. While AI resolutions are cheaper, their cost is additive, not baked-in. A store handling 2,000 tickets a month might find that 50% are resolved by AI. Under a per-resolution model, that's 1,000 separate micro-transactions added to the monthly bill, on top of the fixed cost of the human agent seats who handled the other 1,000 tickets. Your reward for efficient automation is a higher, more volatile software bill. This model fundamentally misunderstands the real job-to-be-done for a growing store owner. The goal isn't just to make individual agents more efficient; it's to decouple the total cost of support from the fluctuating volume of customer inquiries. Per-seat and per-resolution AI pricing fails this job completely. Your costs still scale directly, either with headcount or with ticket volume, leaving you on a treadmill of escalating expenses. A successful Black Friday weekend, which should be a moment of pure celebration, becomes a source of deep anxiety as you watch the ticket count and the corresponding AI resolution fees skyrocket in tandem. The promise of AI was predictability and cost control. Yet for many Shopify stores, it has simply introduced a second, highly volatile variable into their monthly support bill, making it even harder to manage margins and forecast expenses. The cost structure remains aligned with the problem (more tickets, more cost) rather than the solution (more efficiency, stable cost). A Different Model: The Single AI Agent There is a fundamentally different approach, one that re-imagines the entire cost structure of customer support from first principles. Instead of adding AI capabilities to a human-centric, per-seat model, this approach starts with a single, autonomous AI agent as the default support channel. The billing model is not based on how many people you have on your team or how many tickets the AI resolves. It’s a flat monthly fee for the AI agent itself, which can handle an unlimited number of conversations. This is the philosophy behind Arbyn. It completely severs the toxic link between your support volume and your support costs. Whether your store has 200 conversations a month or 20,000 during a holiday rush, the price remains the same. This shifts the economic incentive entirely. You are no longer penalized for growth; you are rewarded for it, as your effective cost per conversation plummets from fifty cents to less than half a cent while your volume increases. This model profoundly changes the role of the human team for the better. Instead of being the first line of defense, responsible for every single incoming query, the store owner or a small support team becomes the second line. They are transformed into managers, strategists, and escalation points for the most complex, high-value, or sensitive issues. The AI agent handles the vast majority of repetitive, predictable inquiries that comprise most of an ecommerce store's support volume. It instantly answers WISMO questions, initiates returns based on your store's specific policies, and answers detailed questions about product specifications, 24/7. Crucially, in a platform like Arbyn, this isn't just about deflecting questions. The AI agent can take real, approved actions within Shopify, like issuing refunds, applying discounts, or reshipping orders once the store owner gives a one-click approval from their phone. It functions less like a simple chatbot and more like a dedicated, junior team member with a specific, defined set of permissions, one that never gets tired or makes a typo. The financial implications of this shift are profound and immediate. The fully loaded cost to handle an average ecommerce support ticket with human agents can range from $5 to over $15 when accounting for agent time, software, and overhead. A store with just 500 tickets per month could easily be spending $2,500 or more on support operations. A per-seat helpdesk for a team of two agents, plus AI add-ons, could run $200 to $400 a month alone, before any usage fees. The single AI agent model replaces that variable and escalating cost with a fixed, predictable one. Arbyn’s unlimited plan, for example, is a flat $99 per month. For a store with 1,000 tickets, that's less than 10 cents per conversation. This provides immediate budget stability and allows store owners to reinvest the significant savings into other growth areas like marketing or product development. It aligns the cost of support with modern operational reality: automate everything that can be automated, and reserve your valuable human attention for the moments where it truly makes a difference. Choosing a Cost Structure, Not Just a Feature Set When you compare Gladly and Arbyn, you are looking at two radically different visions for the future of customer support. Gladly represents the absolute peak of the human-centric model. It provides a beautiful, powerful platform designed to turn your support agents into customer relationship heroes and uses sophisticated AI to augment their abilities at every turn. It’s an investment in making your people as effective as possible. For a bespoke brand selling custom engagement rings or high-end furniture, where high-touch, consultative service is a core part of the luxury product itself, this can be a justifiable expense. However, it comes with a premium cost structure that is fundamentally tied to the number of people you employ. Your software bill will always be a direct function of your headcount, creating a permanent barrier to scaling efficiently. It's a model that excels for brands where cost is a secondary concern to the human-led experience, and high margins can absorb the expense. Arbyn, in contrast, represents the AI-centric model. It proposes that the primary support agent should not be a person at all, but a single, flat-rate AI that handles the entire volume of conversations, with humans acting as managers and exception handlers. It’s an investment in operational efficiency, profitability, and cost predictability. The goal is to entirely remove the scaling cost problem, making your support operation a fixed, low monthly expense that does not grow with your sales volume or your team size. This approach is built for the vast majority of Shopify stores, from ambitious startups to established eight-figure brands, where margin is critical and the primary goal is to provide fast, accurate answers to common questions so the business can scale profitably. It recognizes that for most customers, a correct answer about their order in 30 seconds is a better, more modern experience than a personalized, empathetic one that takes 30 minutes to arrive. Ultimately, the decision is less about whether you want a "customer-centric" platform or an "AI-powered" one. Both platforms use AI, and both aim to serve the customer effectively. The real choice is about the underlying economic engine you want to power your support operation. The analysis of features or user interfaces is secondary to this primary strategic decision. Do you want a cost structure that scales with your payroll, forcing you to constantly balance service levels against your budget and making every new hire a painful math problem? Or do you want a cost structure that remains fixed, allowing you to grow your revenue without growing your operational overhead and turning sales spikes into pure profit? As you look at your next helpdesk invoice and plan for the quarter ahead, that is the most important question to answer. For store owners ready to break free from unpredictable, escalating software bills, the path is clear. You can install Arbyn from the Shopify App Store and transition to a flat-rate model where your support costs are finally under your control. --- ## Pricing - **Arbyn Starter** - $0/month, permanently free. 150 conversations / month. Resets 1st of each month. - **Arbyn Agent** - $99/month flat, unlimited conversations. Or $990/year (2 months free, saves $198, 17% off). - **There is no trial.** Billing starts immediately on the Agent plan. The free Starter plan is permanent. - The conversation cap is the only difference between plans. There is no feature gating. ## Channels Live today: **support email** and **on-site live chat**. That is the complete list. SMS, Instagram DMs, Facebook Messenger, WhatsApp and Voice are on the roadmap and are NOT live. Arbyn does not edit orders or change line items. Money-moving actions (cancel, refund, discount, gift card, reship, return) require the store owner's approval, and then Arbyn performs them. Running them fully autonomously is a beta authorization and is in development. Shipping address changes are already autonomous. ## What Arbyn does on a Shopify order - **Change the shipping address**: Live. Arbyn does this on its own. Arbyn updates the shipping address on the Shopify order itself, inside the conversation, and writes the change to the order timeline. - **Cancel an order**: Live. You approve it, then Arbyn cancels the order. Anything that moves money waits for the store owner's approval. That is a deliberate control, not a missing feature. Once you approve, Arbyn fires Shopify's order cancellation itself and confirms it to the customer. - **Issue a refund**: Live. You approve it, then Arbyn issues the refund. Arbyn prepares the refund against the original payment method and sends it to you. On approval it files the refund in Shopify. You can cap the value it is allowed to prepare, per channel. - **Apply a discount**: Live. Arbyn creates a real Shopify discount and applies it to the cart, handing the shopper a checkout with the code already on it. It can also issue a discount code on an order once you approve it. - **Send a gift card, or reship an order**: Live. You approve it, then Arbyn does it. Arbyn creates the gift card, or raises the replacement order, in Shopify once you approve. - **Start a return**: Live. You approve it, then Arbyn opens the return. Arbyn opens the return in Shopify on your approval. - **Look up a gift card or store-credit balance**: Live. Arbyn does this on its own. "Do I have store credit left?" is a question most support tools answer with a human. Arbyn reads the balance itself, for a verified customer or from the code they give you, and reports the masked card, the balance and the expiry. If there is no card, it says so rather than guessing. - **Handle a subscription question**: Live. You choose what it does. Arbyn knows which of your products are sold as a subscription, shows that on the product card in the conversation, and sends a subscriber to their subscription management page to pause, skip or cancel. It answers how your subscriptions work from your own knowledge, but it does not read an individual customer's contract, so it will not state their renewal date or status. Most cancels are a customer with product piling up, and the fix is getting them to the page where they can slow the cadence down. Reading the contract itself is on the roadmap. - **Answer support email and live chat**: Live. Arbyn reads every inbound support email and every chat, works out the intent, pulls the live Shopify context, and replies in your brand voice. Money-moving actions (cancel, refund, discount, gift card, reship, return) require the store owner's approval, and then Arbyn performs them. Running them fully autonomously is a beta authorization and is in development. Shipping address changes are already autonomous.