Yuma AI Guide (2026): What It Costs, How It Works and Which Help Desks It Supports

Yuma AI is an AI support agent for Shopify merchants that plugs into your existing help desk (Gorgias, Zendesk and seven others) and closes tickets by taking actions such as refunds, order edits and return labels, and it is billed only for tickets it fully resolves. Yuma doesn't publish a rate card on yuma.ai, but its Shopify App Store listing shows a Small Merchant plan at $850 a month and a Medium Merchant plan at $1,200 a month, each with a package of automated tickets and overage fees (checked 24 September 2026). Full disclosure: we build an AI support product (Macha) ourselves. Where a number isn't verifiable, we flag it.

What is Yuma AI?

Yuma AI is an AI support-automation agent built for e-commerce, with a tight focus on Shopify. It doesn't replace your help desk. It plugs into the one you already run (Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, Gladly, Front, Re:amaze, Sprinklr or Zoho Desk) and resolves tickets on its own: it pulls order data, checks policies, replies in your brand's voice and runs the action that closes the ticket (Yuma integrations). The scope is deliberate. Yuma isn't a horizontal agent for any support team. It's a vertical agent for merchants whose queues are mostly "where's my order," returns, refunds, exchanges, address changes and subscription tweaks.

The company is led by Guillaume Luccisano, a three-time Y Combinator founder. He previously founded Socialcam (reportedly acquired by Autodesk for about $60M) and Triplebyte (acquired by Karat) before starting Yuma, which is also YC-backed (Y Combinator). On funding, Yuma has reportedly raised about $5.75M (reported investors include Gradient Ventures, Altman Capital and angels), with third-party trackers citing roughly $3.3M ARR and a ~$9.9M valuation as of 2024 (Crunchbase). Treat the funding, ARR and valuation numbers as third-party estimates. Yuma doesn't confirm them on its own site.

Yuma's public customer roster leans on known DTC brands. Its homepage case studies report 89% automation at EvryJewels, 70% at Javvy Coffee, 70% at Clove, 62% at MyVariations, 49% at Petlibro, 45% at FINN, and 91% WISMO accuracy at Glossier (Yuma AI, checked 24 September 2026). Those are vendor-reported results. Notice the spread: 45% to 89% across named customers. The rate you get depends on your ticket mix, so confirm it in a pilot rather than budgeting on the top number.

Architecturally, Yuma is an AI agent layer on the help desk you already run, the same category as Macha, with a narrower Shopify-first scope.

How does Yuma AI resolve a ticket?

Yuma pulls from your order data, product catalog and customer history. When a ticket arrives, the agent reads the message, identifies the intent and routes it to a specialized sub-agent (returns, WISMO, subscriptions and so on). That agent looks up the order, checks it against your SOPs, drafts a reply in your brand voice and then takes the action that resolves it: a refund, a subscription pause or change, a return label, an address edit or an order cancellation (Yuma AI).

Autonomous mode vs. draft (copilot) mode

Yuma runs two ways, and the difference matters when you're weighing risk. It started as a draft/copilot tool: the AI wrote a suggested reply and a human reviewed and sent it. That mode still exists and suits cautious teams. The product later added autonomous mode, where the agent sends replies and runs actions inside the ticket thread with no human in the loop. Yuma's own onboarding describes a gradual rollout starting at 5% to 10% of tickets during the 30-day trial, with more intents moved to autonomous as they prove out.

What does Safety Guard check?

Autonomous replies carry real risk (a wrong refund, an off-policy promise), so Yuma adds a pre-send review it calls Safety Guard. Yuma's own blog says it runs 15 to 20 quality-control checks across multiple models on each AI reply before it reaches a customer (Yuma blog). Replies that fail accuracy or policy checks are held for human review and routed to an agent with context. For e-commerce, where a bad automated action costs money, that's a sensible design choice.

Which Shopify actions can Yuma take?

Resolution runs on a library of pre-built Shopify actions, which is where the specialization pays off. They cover everyday merchant workflows: order status and WISMO lookups, order edits and cancellations, refunds and returns, return and exchange labels, shipping address changes, and subscription pauses, skips and changes. The subscription side connects to Recharge, Skio, Loop, Seal, Stay AI and others, and returns connect to Loop Returns, Redo, ReturnGO and Happy Returns (Yuma integrations). Because these flows come pre-built, setup is faster than wiring an action-taking agent from scratch, and the agent can close a ticket instead of handing it off. Action-taking is what separates an agent from a deflection bot. Our guide to custom tools and actions covers the mechanics.

Earlier versions of this guide quoted "75+ pre-built Shopify actions." We couldn't find that number on Yuma's site on 24 September 2026, so we've dropped it.

Where does Yuma get its answers and brand voice?

Yuma builds answers from three sources: past conversation history, your knowledge base or help center, and your brand voice and policies. It learns tone from prior replies and grounds factual answers in documented policy. Like any retrieval-based agent, it's only as good as that underlying knowledge. Clean, current macros and articles raise the ceiling. Stale or contradictory ones lower it.

Which channels does Yuma cover?

Beyond the ticket queue, Yuma covers Instagram and Facebook DMs, comments, ad comments, reviews and live chat, plus pre-purchase sales questions (Yuma AI). It has also added "Ask Yuma," a conversational interface for querying the support operation itself: performance, and what the AI is doing.

Which help desks and platforms does Yuma AI integrate with?

Yuma's integration set is e-commerce shaped (Yuma integrations, checked 24 September 2026):

• Gorgias: the most common pairing, given how many Shopify DTC brands run on Gorgias.
• Zendesk: for larger or multi-channel merchants.
• Kustomer: the CRM-style platform, supported for brands on that stack.
• Gladly: people-centric help desk with a dedicated Yuma integration.
• Salesforce Service Cloud, Sprinklr and Zoho Desk: newer additions that stretch Yuma toward larger retail stacks.
• Front and Re:amaze: additional help desks in the e-commerce space.
• Shopify, WooCommerce and WSHOP: the commerce backends Yuma reads order, catalog and customer data from.
• Shipping and 3PL: ShipStation, ShipBob, ShipMonk, AfterShip, DHL, Bigblue and others, for tracking-driven WISMO answers.

Yuma goes deep on the platforms e-commerce brands use rather than wide across every enterprise help desk. That's a strength if you're on one of those tools and a limit if you aren't. Freshdesk, Intercom and HubSpot aren't on the list.

How long does Yuma AI take to set up?

Yuma leans on white-glove onboarding rather than pure self-serve, and reviewers cite this as a strength. Per yuma.ai, setup is handled by a dedicated account team at no extra cost, and the free trial runs 30 days on real tickets, starting with a 5% to 10% rollout (Yuma pricing page). Earlier versions of this guide quoted "go live in hours, not weeks" and "30% automation in 30 days." Neither appears on Yuma's site as of 24 September 2026, so we've removed them. For a lean DTC team with no automation engineer, the managed model is a real advantage. The flip side is that you depend on Yuma's team for changes instead of owning the configuration yourself.

What are Yuma AI's key features?

• End-to-end ticket resolution: reads intent, routes to a specialized agent, drafts in brand voice and closes the ticket by taking action.
• Autonomous and draft (copilot) modes: fully hands-off or human-in-the-loop, per intent.
• Pre-built Shopify actions: WISMO, refunds, return and exchange labels, order edits and cancellations, address changes, subscription pauses and changes.
• Safety Guard: 15 to 20 checks across multiple models before a reply sends; risky replies held for review.
• Help desk integrations: Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, Gladly, Front, Re:amaze, Sprinklr and Zoho Desk.
• Knowledge and brand voice: learns from history, help center and prior replies.
• Multi-channel: tickets, social DMs, comments, ad comments, reviews and live chat, plus pre-purchase sales.
• Ask Yuma: conversational management layer for the support operation.
• White-glove onboarding: dedicated account team, 30-day trial on real tickets.
• Outcome-based billing: you pay only for tickets the AI fully resolves.

How much does Yuma AI cost in 2026?

Yuma doesn't publish prices on yuma.ai. Its pricing page says the rate depends on "support volume, the workflows being automated, the commerce and helpdesk platforms involved, and the level of rollout required," and sends you to a demo or the 30-day trial for a quote (Yuma pricing page; background in the 2024 pricing announcement).

The model is outcome-based: you pay only for tickets the AI fully resolves, with no charge for conversations it escalates.

Two public numbers exist. The Shopify App Store listing shows a Small Merchant plan at $850 a month and a Medium Merchant plan at $1,200 a month, each a package of automated tickets with overage fees, plus a 14-day free trial. Yuma's own Gorgias comparison page puts its rate at about $0.65 to $0.70 per resolved ticket. At $0.70, the $850 plan covers roughly 1,200 resolutions, though the listing doesn't state the package size, so confirm that on a call. This guide previously cited a third-party estimate of $350 a month for about 500 resolutions; that figure no longer matches any public source and we've replaced it.

What's the catch with outcome-based pricing?

Outcome-based billing looks customer-friendly, but read it closely. First, "fully resolved" is defined by the vendor, and that definition drives your bill. Second, per-resolution pricing scales with your success: the better the automation rate, the more you pay, so the vendor's incentive is to count as many tickets as resolved as it can. Reviewers often describe Yuma as relatively expensive, and a quote-only structure makes it hard to compare against usage- or seat-based tools without a sales call. None of that makes it wrong. Model it against your real ticket volume, and confirm the current rate and the resolution definition with Yuma in writing.

What reviewers say: Yuma AI holds 4.8 out of 5 from 19 reviews on G2, checked 21 September 2026, and 5.0 out of 5 from 9 reviews on the Shopify App Store, checked 24 September 2026. Both are small samples, so weigh them together rather than alone.

What are Yuma AI's pros and cons?

Pros

• Deep Shopify specialization: pre-built actions and dozens of subscription, returns and shipping integrations mean it can close real tickets, not just deflect.
• Real action-taking: refunds, returns, subscription changes and order edits happen inside the ticket.
• Safety Guard: 15 to 20 pre-send checks reduce the risk of wrong or off-policy automated replies.
• Autonomous and draft modes: start human-in-the-loop and move specific intents to autonomous.
• Outcome-based billing: you pay only for tickets the AI fully resolves.
• Strong founder track record: a three-time YC founder with two prior acquisitions.
• White-glove onboarding at no extra cost, with a 30-day trial on real tickets.
• Recognizable DTC customers: Glossier, Clove, Petlibro and others.
• Connects to the help desk you already run (nine are listed) rather than forcing a migration.

Cons

• No rate card on yuma.ai: budgeting needs a sales call, and the vendor defines "resolved."
• E-commerce only: a poor fit for B2B SaaS, service businesses or non-commerce support.
• Help desk coverage is e-commerce shaped: Freshdesk, Intercom and HubSpot aren't supported.
• Managed-service dependence: you may rely on Yuma's team for configuration changes.
• Entry pricing on the Shopify App Store starts at $850 a month, which is steep for a small store.
• Automation and accuracy figures (45% to 89% automation, 91% WISMO accuracy) are vendor-reported. Validate them in a pilot.

Who is Yuma AI best for?

Yuma fits a Shopify-first brand on Gorgias or Zendesk with high, repetitive volume (WISMO, returns, refunds, subscription changes) that maps cleanly onto standard e-commerce workflows. If your tickets follow those patterns, the pre-built actions and outcome-based billing can deliver measurable automation with little wiring.

It's a weaker fit if you're outside e-commerce, on a help desk it doesn't list, allergic to quote-only pricing, or running workflows too custom for the pre-built action library.

How does Yuma AI compare with alternatives?

No AI agent is right for everyone. Here's how Yuma stacks up against the vendors it's most often shortlisted with, including us.

Where we fit: Macha is an AI agent layer on top of the help desk you already use (Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom), and you build agents in plain English. Yuma prices per resolution. Macha prices per ticket: one charge per thread, however many replies, starting at $299 a month for up to 750 tickets, about $0.40 a ticket. Per-ticket pricing ties cost to the tickets worked rather than to a resolution definition the vendor controls. Both products set the agent up for you. Yuma's onboarding is guided by a dedicated account team (yuma.ai pricing page, checked 6 October 2026). Macha is done for you on the trial and every plan: the Macha team analyzes your past tickets, builds the knowledge base and the agent on your existing help desk, and runs it in safe mode, with drafts as internal notes, until the drafts are right. The $0.40 also covers a dedicated success manager who handles your changes after go-live (new categories, instruction edits, new tools). So the choice comes down to the billing unit and the scope. If you're a Shopify-only store that wants a pre-built, resolution-priced agent, Yuma may be the cleaner fit. If you want an agent you can point at your help desk and extend into your own workflows, that's where Macha lives, and our pricing is published.

Two alternatives are worth pricing against Yuma at your real volume: Alhena AI, which targets the same Shopify stores, and Siena AI, if social and shopping channels matter as much as the ticket queue.

How we researched this: Features, pricing and customer figures come from Yuma AI's own pages (homepage, integrations, pricing and its Gorgias comparison page), its Shopify App Store listing and the third-party sources linked inline. We re-checked all of them on 24 September 2026. The G2 rating was read in a real browser on 21 September 2026; Capterra has no Yuma listing. Funding and valuation figures are third-party and weren't re-verified.

Frequently asked questions

What is Yuma AI? Yuma AI (at yuma.ai) is an e-commerce AI support agent built for Shopify. It plugs into help desks such as Gorgias and Zendesk and resolves tickets end to end, taking actions like refunds, subscription pauses and return labels.

How much does Yuma AI cost? Yuma's site is quote-only and bills per fully resolved ticket. The Shopify App Store lists a Small Merchant plan at $850 a month and a Medium Merchant plan at $1,200 a month, each with a ticket package and overage fees. Yuma's Gorgias comparison page puts the rate at about $0.65 to $0.70 per resolution.

Who founded Yuma AI? Guillaume Luccisano, a three-time Y Combinator founder who previously built Socialcam (acquired by Autodesk) and Triplebyte (acquired by Karat).

Does Yuma AI work with Shopify? Yes. Yuma is built for Shopify, with pre-built actions for order status, order edits and cancellations, refunds, returns and exchange labels, address changes and subscription changes. It also supports WooCommerce and WSHOP.

Which helpdesks does Yuma AI integrate with? As of 24 September 2026, Yuma lists Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, Gladly, Front, Re:amaze, Sprinklr and Zoho Desk. Gorgias is the most common pairing among Shopify DTC brands.

Does Yuma send replies automatically or just draft them? Both. Draft (copilot) mode has a human review and send; autonomous mode replies and takes actions without a human. Teams usually start with 5% to 10% of tickets and widen from there. Safety Guard runs 15 to 20 checks before any reply sends.

How accurate is Yuma AI, really? Yuma's case studies report automation from 45% (FINN) to 89% (EvryJewels) and 91% WISMO accuracy at Glossier. These are vendor-reported figures. Validate the rate you achieve in a pilot on your own ticket mix.

Is Yuma AI expensive? Reviewers describe it as relatively expensive, and the listed Shopify App Store plans start at $850 a month. Outcome-based billing means you pay only for fully resolved tickets, but cost rises with your automation rate.

Which brands use Yuma AI? Yuma's public roster includes Glossier, Clove, Petlibro, Javvy Coffee, EvryJewels, MyVariations and FINN.

What are the best Yuma AI alternatives? Alhena AI (e-commerce support and sales, published pricing from $199 a month billed annually), Gorgias native AI (for existing Gorgias merchants) and Macha (an AI agent layer on your existing help desk, set up and run for you by the Macha team, at about $0.40 a ticket from $299 a month, including a dedicated success manager). If you're Shopify-only and want resolution-priced automation, Yuma is a strong candidate; if you need non-e-commerce workflows, look wider.

Want an AI agent that runs on the help desk you already use, set up for you, with published per-ticket pricing instead of a quote-only sales process? See how Macha compares, or explore the pricing.