Yuma AI: Complete Guide to Features, Pricing & Limitations (2026)

Yuma AI offers 75+ pre-built Shopify actions and claims up to 89% automation for ecommerce brands — but doesn't support Intercom, Freshdesk, or HubSpot. Full breakdown inside.

Yuma AI: Complete Guide to Features, Pricing & Limitations (2026)
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Yuma AI is a strong ecommerce-only support automation tool for Shopify brands, with deep workflow automation, white-glove onboarding, and claims of up to 89% ticket resolution. But it’s expensive, opaque on pricing, limited to certain helpdesks, and still has hallucination issues — making it a fit for larger ecommerce brands, not everyone. Here's the full honest breakdown.
I know why you’re here, it’s because your ecommerce support queue is out of control, and someone on your team mentioned Yuma AI.
Maybe you saw one of their case studies (Glossier, EvryJewels) and thought: this could be the answer.
Or maybe you're in one of these three situations:
  1. You're a Shopify merchant on Gorgias or Zendesk, drowning in WISMO tickets, and you want AI to handle the repetitive stuff so your agents can focus on complex problems.
  1. You've already tried your helpdesk's built-in AI (Gorgias Automate, Zendesk AI) and found it too expensive, too limited, or both — and now you're evaluating third-party options.
  1. You've heard "outcome-based pricing" and want to understand what Yuma actually costs before you commit to a sales call.
This guide covers everything: what Yuma AI does, how it works, what it costs, where it falls short, and whether it's worth it for your brand.
Every claim is linked to a source. No fluff.

What is Yuma AI?

TL;DR: Yuma AI is an ecommerce-specialist AI platform that autonomously resolves customer support tickets for Shopify brands. It plugs into your existing helpdesk (Gorgias, Zendesk, etc.) and handles tickets end-to-end — including taking real actions like issuing refunds and pausing subscriptions.
Yuma AI was founded in late 2022 by Guillaume Luccisano, a three-time Y Combinator founder with two prior exits (Socialcam, acquired by Autodesk for $60M; Triplebyte, valued at $135M).
He launched an experimental GPT-powered support app on the Gorgias App Store in November 2022 — days before ChatGPT went public — and overnight, dozens of merchants requested demos.
That prototype became the company.
A screenshot of the Yuma AI homepage.
A screenshot of the Yuma AI homepage.
Yuma entered YC's W23 batch and has since raised $5.75M from Google Gradient Ventures, Altman Capital Fund, and angels including Kyle Vogt (Cruise), Emmett Shear (Twitch), and Garry Tan (YC president).
The platform now spans four products:
Support AI is the core. AI agents handle tickets end-to-end: retrieving order data, verifying policies, responding in your brand's voice, and executing actions like refunds, subscription pauses, and return-label generation.
It's built around what Yuma calls "Auto-Pilots" — specialised agents that follow exact SOPs for specific scenarios.
Sales AI (launched September 2025) places an AI-powered Q&A widget on Shopify product pages, answering pre-sale questions in real time.
Early partner Parachute Home reported an 18% lift in revenue per visitor.
Social AI (launched January 2026) monitors Facebook and Instagram comments, auto-replies to routine queries, hides spam, and escalates negative content. Claims to automate up to 60% of social moderation. TikTok support is coming.
Chat AI (launched early 2025) is a standalone AI-native chat widget that installs in five minutes with three lines of code.
In plain English: Yuma wants to own every customer interaction for ecommerce brands — support, sales, social, and chat — all powered by AI.
Their entire pitch is that they're purpose-built for ecommerce, not a general-purpose tool with ecommerce bolted on.
💬
My AskAI works across every vertical — ecommerce, SaaS, fintech, travel, and more — and integrates with 6 helpdesks including Intercom, Freshdesk, and HubSpot (where Yuma is absent). Setup takes minutes, not weeks. See how it works →

How easy is it to set up Yuma AI?

TL;DR: Yuma offers white-glove onboarding with a dedicated account manager at every pricing tier — but that means you can't self-serve. You'll need a sales conversation and guided setup, which takes days to weeks rather than minutes.
Yuma's marketing says "zero engineering work to set up," and that's technically true — because they do the engineering work for you.
Every customer gets a dedicated account manager who configures your AI automations, writes your process templates, and connects Yuma to your helpdesk and ecommerce tools.
For large brands with complex workflows and high-touch expectations, this is a genuine advantage.
Your account manager knows the product inside out and can map your SOPs to Yuma's Auto-Pilots faster than you could figure it out yourself.
But for smaller or faster-moving teams, it's a friction point.
You can't just sign up, connect your Shopify store, and start resolving tickets in 15 minutes.
You need to book a demo, have a sales conversation, go through onboarding, and wait for your account manager to configure things.
Using Yuma autopilot for responses, and choosing a gradual rollout.
Using Yuma autopilot for responses, and choosing a gradual rollout.
"In the beginning, it can be frustrating to set up AI agents, autopilot agents, understand how the platform works."
Yuma does offer a Playground for testing automations against historical tickets before going live — a useful safety net. But the overall time-to-first-value is measured in days or weeks, not minutes.
💬
My AskAI is fully self-serve. Connect your helpdesk, add your knowledge sources, and your AI agent is live in under 10 minutes. No sales call required, no onboarding wait. Try it free →

What channels does Yuma AI work in?

TL;DR: Yuma covers email, live chat, WhatsApp, Facebook, Instagram, SMS, and product-review threads. No voice or phone support.
Yuma supports the channels most ecommerce brands care about: email, live chat, WhatsApp, Facebook, Instagram, SMS, and even product-review threads.
Their new Social AI product (January 2026) adds automated comment moderation for Facebook and Instagram, with TikTok support planned. Chat AI provides a standalone live-chat widget you can embed on your site.
The notable gap: no voice or phone channel. Yuma is text-only. If your brand runs a phone support line, you'll need a separate tool for that.
For comparison, most ecommerce brands are text-heavy anyway, so this may not matter.
But if you're a brand that takes orders or handles complaints by phone, Yuma can't help you there.
💬
My AskAI supports email, live chat, and integrates with leading helpdesks that handle omnichannel routing — including Zendesk, Intercom, and Freshdesk. Your AI agent works wherever your tickets come in. See all integrations →

What are the limitations of Yuma AI?

TL;DR: Yuma's biggest limitations are AI hallucinations (the most common G2 complaint), opaque pricing that requires a sales call and ecommerce-only focus.
This is the section that matters most. Every tool has trade-offs, and Yuma's are worth understanding before you commit.

AI hallucinations are the top complaint

Despite Yuma's multi-model Safety Guard (15-20 quality checks per reply), hallucinations remain the most consistently cited issue in G2 reviews.
One reviewer:
"Occasionally, the AI may experience hallucinations or make incorrect statements."
Another:
"Sometimes it hallucinates and the process gets off track but the team solves it eventually."
To their credit, Yuma published a blog post about why this happens and built specific features (Fact Snippets, Hard Limits) to mitigate it.
But it hasn't been fully solved.

Pricing is opaque

Yuma's pricing page says "Talk to us."
There are no public prices.
Third-party sources indicate plans starting around $350/month for 500 resolutions, but you can't confirm this without a sales conversation.
For smaller brands trying to evaluate options quickly, this is a real barrier.

Ecommerce only

Yuma does not serve SaaS, fintech, crypto, travel, or any non-ecommerce vertical.
If you're not selling physical products (mostly via Shopify), Yuma isn't for you — and that's by design.

No voice or phone support

Already covered, but worth repeating here. Text-only.

No Intercom, Freshdesk, or HubSpot integration

If your helpdesk is Intercom, Freshdesk, or HubSpot, Yuma simply doesn't work with you. These are three of the most popular helpdesks in the market.
💬
My AskAI publishes all pricing transparently at myaskai.com/pricing. It integrates with 5 helpdesks including Intercom, Freshdesk, and HubSpot — three platforms Yuma doesn't support. And at ~$0.10-$0.20 per ticket, it's 3-6x cheaper. Compare pricing →

What knowledge sources can I train Yuma AI on?

TL;DR: Yuma trains on your help-centre articles, ecommerce-specific data (order history, product catalogues, carrier info), and custom Fact Snippets. It doesn't connect to external knowledge tools like Google Drive, Notion, or Confluence.
Yuma's knowledge management is built around ecommerce data. It pulls from:
Help-centre articles — your existing knowledge base, managed through Yuma's Source Manager that keeps citations fresh and ranked by relevance.
Ecommerce platform data — Shopify order history, product catalogues, subscription data (via Recharge, Skio, etc.), shipping/tracking data (via ShipStation, ShipBob, etc.), and returns data (via Loop Returns).
Fact Snippets — immutable data points (warranty periods, sizing charts, ingredient lists) you define once and Yuma inserts verbatim. This is their primary anti-hallucination tool. Instead of letting the AI generate facts about your 30-day return policy, you lock in the exact wording.
Q&A library — curated answers for your top products and most common questions.
Media Brain — Yuma's multimodal AI analyses images, videos, and PDFs for damage claims, receipt extraction, and SKU matching.
Screenshot from Yuma of knowledge source connections.
Screenshot from Yuma of knowledge source connections.
Yuma does not connect to Google Drive, Notion, Confluence, OneDrive, SharePoint, or Dropbox as knowledge sources.
If your team documentation or product specs live in these tools, Yuma can't access them.
Their knowledge strategy is ecommerce-native — deep integration with Shopify and ecommerce tools, but no connection to the broader knowledge ecosystem.
💬
My AskAI connects to Google Drive, Notion, Confluence, OneDrive, SharePoint, and Dropbox as knowledge sources — plus your help centre, website, historic tickets and uploaded files. Your AI agent learns from everywhere your team stores information. See knowledge sources →

What features does Yuma AI have?

TL;DR: Yuma's feature set is deep within ecommerce. Core features include Auto-Pilots (SOP-driven agents), a Process Builder with 75+ pre-built actions, Safety Guard (multi-model QC), Fact Snippets (anti-hallucination), Media Brain (image/video analysis), and a Playground for testing. Plus Sales AI, Social AI, and Chat AI products.
Yuma organises its features around the four products, but the Support AI core does the heavy lifting.

Auto-Pilots

Auto-Pilots are specialised AI agents, each following exact SOPs for specific scenarios — one for WISMO queries, another for refund requests, another for subscription pauses. You define the process, Yuma's AI executes it. This SOP-driven approach gives more control than a general-purpose AI agent, but it also means more upfront configuration.
Screenshot showing action set up in Yuma.
Screenshot showing action set up in Yuma.

Process Builder

The Process Builder is a drag-and-drop workflow editor with 75+ pre-built actions for common ecommerce tasks. Actions include editing orders, issuing refunds, pausing subscriptions, generating return labels, and cancelling orders.
These aren't just canned responses — the AI takes real actions in Shopify and your ecommerce stack.

Safety Guard

Safety Guard runs 15-20 quality-control checks per AI reply across multiple models. The system cross-validates responses for accuracy, policy compliance, tone, and safety. Suspicious outputs get paused for human review automatically.
This is one of Yuma's strongest differentiators.

Fact Snippets

Fact Snippets lock in specific data points (warranty periods, shipping cut-offs, sizing info) that get inserted verbatim rather than generated. Yuma's primary tool against hallucination.

Media Brain

Media Brain processes images, videos, and PDFs to identify product defects, match SKUs, and extract text from receipts.
Useful for damage-claim tickets where a customer uploads a photo of a broken product.

Package Tracker

Package Tracker pulls real-time carrier data for WISMO (Where Is My Order) queries — the single most common ticket type for ecommerce brands.

Playground

The Playground lets you test automations against historical tickets before deploying live. You can see how the AI would have handled past conversations without any risk.

Flows

Flows (launched Q4 2025) is a visual builder for step-based support automations — think decision trees with AI at each node.

Deep Search

Deep Search (launched November 2025) is a ChatGPT-style interface for querying your ticket history to surface customer-voice insights. Useful for product teams wanting to understand recurring complaints.
💬
My AskAI offers AI agent and copilot modes, conversation insights, automatic tagging, email AI, and integrations with 5 helpdesks. No ecommerce lock-in — it works for any industry and any team size. Explore features →

How do I improve Yuma AI responses?

TL;DR: Yuma's improvement loop relies on Fact Snippets, the Q&A library, Auto-Pilot tuning, and your dedicated account manager. The Playground lets you test changes against historical tickets. But much of the optimisation is done for you by Yuma's team, not by you.
Yuma's approach to improvement is a mix of self-service tools and managed optimisation.
Screenshot from Yuma of automation coverage.
Screenshot from Yuma of automation coverage.
Fact Snippets are your first lever. When the AI gets a specific fact wrong (a warranty period, a material composition, a shipping cut-off), you add or update the Fact Snippet.
Yuma fact snippet library.
Yuma fact snippet library.
The AI then inserts the correct information verbatim in future responses.
Q&A library lets you pre-write answers for your most common product-specific questions. Instead of hoping the AI generates the right answer, you define it.
Auto-Pilot tuning means adjusting the SOPs that govern each specialised agent.
If the refund agent is being too generous or too strict, you modify the process in the Process Builder.
Playground testing lets you validate changes against historical tickets.
You update a Fact Snippet or tweak an Auto-Pilot, then run it against past conversations to see whether it improves.
Your account manager also monitors performance and suggests optimisations. This is the white-glove element — Yuma's team is actively involved in improving your AI's output, not just setting it up and walking away.
The tradeoff: this managed approach works well for brands that want hands-off AI support, but it means you're dependent on Yuma's team for deeper optimisations. If you want full control and fast iteration, the managed model can feel slow.
💬
My AskAI gives you full control over your AI agent's improvement with self-learning and conversation insights. Edit responses, update knowledge, adjust settings — all self-serve, all instant. No waiting for an account manager.

What resolution rate can I expect from Yuma AI?

TL;DR: Yuma's top case studies claim 79-89% automation rates, but real-world results vary significantly. Early results show 40% automation by Day 3, scaling up over weeks. Their 100% ROI guarantee de-risks the bet.
Yuma's headline claim is up to 89% automation — achieved by EvryJewels, a jewellery brand processing high volumes of repetitive tickets. Other published case studies show a range:
  • EvryJewels: 89% automation; cost per ticket from $5.50 to $2.00
  • Glossier: 91% accuracy on shipping tickets; 87% drop in response times
  • Petlibro: 79% automation; 20% cost reduction
  • Clove: 70% automation; 3x ROI in 90 days
  • FINN: 45% automation; 90% cut in resolution time
  • Mool: 40% automation by Day 3
The variance tells you something important: your resolution rate depends on your ticket mix.
Adding guidelines in Yuma to control behaviors in certain scenarios.
Adding guidelines in Yuma to control behaviors in certain scenarios.
Brands with high proportions of WISMO, refund, and subscription queries (the repetitive stuff) will hit 70-89%. Brands with more complex, nuanced tickets will land lower.
What does "resolved" mean?
For Yuma, it means the AI handled the ticket end-to-end without human intervention — including taking actions like issuing a refund or generating a return label.
This is a higher bar than helpdesks that count "deflected" (the customer didn't contact a human) as "resolved."
Yuma backs this up with a 100% ROI guarantee: if your automation savings don't exceed the fee, you pay nothing. That's a meaningful commitment that de-risks the purchase.
💬
My AskAI customers average 75% resolution rates across industries — including ecommerce brands. See real results in our case studies, including YouGarden hitting 66% AI resolution on Freshdesk. Read case studies →

What AI model does Yuma AI use?

TL;DR: Yuma uses a multi-model architecture with "in-house AI orchestration technology." They started with OpenAI's GPT models and now use multiple foundation models in an ensemble, cross-validating outputs for safety. Specific model names aren't disclosed.
Yuma was the first OpenAI GPT-powered assistant in the Gorgias App Store (early 2023), so GPT models are part of their stack.
But their current architecture goes beyond a single model.
They describe it as "in-house AI orchestration technology" with a multi-agent architecture. Every AI-drafted reply goes through 15-20 quality-control checks across multiple models — their Safety Guard.
The multi-model approach cross-validates responses for accuracy, policy compliance, tone, and safety.
The company doesn't publicly name every LLM provider in the stack, but the multi-model QC architecture suggests they use several third-party foundation models. NLP and ML are also used for intent detection and writing-style adaptation, and the system learns from your historical tickets over time.
Their Media Brain capability indicates investment in multimodal AI — processing images, videos, and PDFs for damage claims, receipt extraction, and SKU matching.
One important note: Yuma emphasises that their entire codebase was built post-LLM — assuming AI agents would own every step of the ticket lifecycle. This is a genuine architectural advantage over helpdesks that bolted AI onto existing ticketing systems.
💬
My AskAI uses the latest AI models and is transparent about its approach. Your data stays secure, your AI agent stays accurate. Learn more about the AI models we use →

What languages does Yuma AI work in?

TL;DR: Yuma supports multiple languages via the underlying LLM capabilities, though they don't publish a specific number. Their case studies span English, French, and German-speaking markets.
Yuma doesn't publish a specific language count on their website.
However, their case studies include brands operating in English (US/UK), French (Cabaia, TheBradery, Tediber), and German (FINN) markets — indicating at least English, French, and German support.
Because Yuma uses large language models, it can handle most major languages.
But the quality of ecommerce-specific responses (order lookups, policy explanations, etc.) likely varies by language based on how well the SOPs and Fact Snippets have been localized.
If multilingual support is critical for your brand, ask during the sales conversation which languages have been tested and optimised for ecommerce workflows.
💬
My AskAI supports 95+ languages out of the box — including automated translation for knowledge sources. See language support →

How secure is Yuma AI?

TL;DR: Yuma achieved SOC 2 Type II certification in Q1 2026. They process ecommerce data including order information, customer details, and payment-adjacent data.
Yuma achieved SOC 2 Type II certification in early 2026 — the gold standard for SaaS security compliance. This means their systems, processes, and controls for handling customer data have been audited by an independent third party.
Given that Yuma processes sensitive ecommerce data (order information, customer details, shipping addresses, and refund-adjacent financial data), SOC 2 Type II is table-stakes for enterprise buyers.
The fact that they only achieved it in 2026 suggests this wasn't a Day 1 priority, but it's in place now.
The company is headquartered in Cambridge, MA with a European office in Barcelona, Spain. For EU-based brands, data residency and GDPR compliance would be worth clarifying during the sales process.
💬
My AskAI is SOC 2 Type II compliant and GDPR-ready. Enterprise-grade security across all plans. See our trust centre →

Who is using Yuma AI?

TL;DR: Yuma claims 100+ paying customers and 5M+ tickets automated. Their highest-profile customer is Glossier. Other named brands include EvryJewels, Clove, Petlibro, FINN, and Tediber.
Yuma's case study library is one of their strongest assets. Named brands with specific, verifiable metrics:
Glossier (beauty) — 91% accuracy on shipping tickets; 87% drop in response times. This is Yuma's marquee logo and signals trust among premium DTC brands.
EvryJewels (jewellery) — 89% automation rate; cost per ticket cut from $5.50 to $2.00. Their highest published automation number.
Clove (footwear) — 70% automation; 3x ROI in 90 days; first response time under 3 minutes.
Tediber (sleep/mattress) — Response time from 72 hours to under 1 hour.
FINN (car subscriptions) — 45% automation; 90% cut in resolution time.
MFI Medical (medical equipment) — $30K annual savings; Google rating from 3.5 to 4.4.
Other named logos include Parachute Home, MESHKI, Javvy Coffee, and TheBradery.
The customer base skews toward mid-market DTC brands with high ticket volumes — fashion, beauty, jewellery, and pet products.
Notably, they also target BPOs (business process outsourcers) serving ecommerce clients, with a published case study with Omnie.
💬
My AskAI is used by 200+ companies across ecommerce, SaaS, fintech, and more. See how YouGarden hit 66% AI resolution on Freshdesk, saving 965 hours/month. Browse case studies →

How much does Yuma AI cost?

TL;DR: Yuma uses outcome-based pricing — you pay only for tickets the AI fully resolves. Plans start around $350/month for 500 resolutions (~$0.70 each). At comparable volumes, Yuma is 3-6x more expensive than My AskAI.
Yuma pivoted to outcome-based pricing in September 2024.
You only pay for tickets the AI fully resolves. Escalated or unresolved tickets cost nothing.
Based on third-party reporting and earlier public pricing, the structure looks roughly like this:
Plan
Monthly price
Resolutions included
Cost per resolution
Starter
$350
500
~$0.70
Mid-tier
$650
1,000
~$0.65
Upper-tier
$900
1,500
~$0.60
Enterprise
Custom
Custom
Negotiable
Important caveat: Yuma's website no longer shows specific prices. It directs you to "Talk to us." The numbers above come from earlier public listings and may have changed. You'll need a sales conversation to confirm.
All plans include unlimited ticket volume (you only pay for resolutions), unlimited AI agents and SOPs, white-glove onboarding, a dedicated account manager, and a private Slack channel.

Yuma AI vs My AskAI: a cost comparison

Let's run the numbers for a mid-sized Shopify brand processing 2,000 tickets/month with a 60% AI resolution rate:
Assumption
Value
Tickets per month
2,000
AI resolution rate
60%
AI-resolved tickets
1,200
Yuma AI cost: $900/month for 1,500 resolutions (upper-tier plan). If you exceed 1,500, you'd move to enterprise pricing.
My AskAI cost: $199/month for the Pro plan (1,000 tickets included) + overage for the extra 1,000 tickets at ~$0.10 each = ~$299/month total.
The difference: Yuma costs roughly 3x more in this scenario — and that gap widens at lower resolution rates or higher volumes. At 10,000 tickets/month, the difference becomes 3-6x.
Yuma's counter-argument is that you only pay for resolved tickets, while My AskAI charges for all tickets processed. True. But even adjusting for that, the per-ticket economics favour My AskAI's pricing for most brands.
The other hidden cost: Yuma charges on top of your helpdesk subscription. My AskAI also sits alongside your helpdesk, but at a fraction of the AI cost.
💬
My AskAI starts at $199/month and scales to $0.10 per ticket on higher plans. No opaque pricing, no sales calls, no surprises. See the full breakdown at myaskai.com/pricing.

Does Yuma AI have a free trial?

TL;DR: Yes — Yuma offers a 30-day free trial on live tickets, plus a 100% ROI guarantee. But you still need a sales conversation to get started.
Yuma offers a 30-day free trial on live tickets.
This is generous — you get to see real results before paying anything. Combined with their 100% ROI guarantee (if automation savings don't exceed the fee, you pay nothing), Yuma has arguably the lowest-risk trial in the category.
The catch: you can't just sign up and start the trial. You need to go through the demo and onboarding process, which means a sales conversation, scheduling, and setup time with your dedicated account manager.
So while the trial itself is risk-free financially, there's a time-investment cost to even begin.
💬
My AskAI offers a free plan with no credit card required. Sign up, connect your helpdesk, and start testing in minutes. No demo, no sales call, no waiting. Start free →

Is Yuma AI worth it?

TL;DR: Yuma is worth it if you're a mid-to-large Shopify brand with high ticket volumes and deep ecommerce workflows. It's not worth it if you're cost-sensitive, non-ecommerce, or on a helpdesk Yuma doesn't support.
Yuma AI is worth it if:
  • You're a Shopify brand doing $10M+ in annual revenue with thousands of tickets per month
  • Your ticket mix is dominated by WISMO, refunds, exchanges, and subscription queries — the repetitive ecommerce stuff Yuma handles best
  • You're on Gorgias or Zendesk and want deep, action-taking AI — not just canned responses
  • You value white-glove onboarding and having a dedicated account manager configure everything for you
  • You need the 100% ROI guarantee to get internal buy-in
Yuma AI is probably not worth it if:
  • You're a smaller brand (under $5M revenue) where Yuma's pricing eats into margins
  • Your helpdesk is Intercom, Freshdesk, or HubSpot — Yuma doesn't integrate with any of them
  • You're not in ecommerce — Yuma won't serve you
  • You want to self-serve and iterate fast without waiting for an account manager
  • You need transparent, published pricing to make a quick buying decision
  • You need voice/phone support automation

What are the Pros and Cons of Yuma AI?

Pros

  • Deep ecommerce automation: 75+ pre-built actions for Shopify workflows (refunds, subscriptions, returns, WISMO) that go far beyond generic AI support tools. If you're a Shopify brand, this specificity saves weeks of configuration.
  • White-glove onboarding included: Every plan gets a dedicated account manager who configures your AI automations. For brands without internal technical resources, this is a significant advantage over self-serve tools.
  • 100% ROI guarantee: If your automation savings don't exceed Yuma's fee, you pay nothing. Combined with the 30-day free trial on live tickets, this is one of the lowest-risk trials in the category.

Cons

  • AI hallucinations persist: The most common complaint in G2 reviews. Despite 15-20 QC checks per reply, the AI still makes errors that require human intervention.
  • Opaque pricing: No public pricing page with numbers. You must go through a sales conversation to learn what you'll pay — a friction point for smaller or faster-moving teams.
  • Ecommerce-only: If you're in SaaS, fintech, travel, or any non-ecommerce vertical, Yuma can't help you. This is deliberate, but it limits who can use the product.
  • Missing major helpdesk integrations: No Intercom, no Freshdesk, no HubSpot. Three of the most popular helpdesks in the market are entirely unsupported.
Yuma AI
  • Brand: Yuma AI Inc.
  • Rating: 7/10
  • In a sentence: A deep, well-built ecommerce AI platform with strong automation for Shopify brands — but narrow focus, opaque pricing, and missing integrations limit its appeal outside that niche.
💬
Want a side-by-side breakdown? Read our full comparison: My AskAI vs Gorgias Automate — covering the helpdesk ecosystem where Yuma competes most directly. Or explore 6 Best Gorgias AI Alternatives for 2026.

FAQs

What is Yuma AI?
Yuma AI is an ecommerce-specialist AI platform that autonomously resolves customer support tickets for Shopify-centric brands. It plugs into helpdesks like Gorgias and Zendesk and handles tickets end-to-end — including taking actions like issuing refunds, pausing subscriptions, and generating return labels. Founded by a three-time YC founder, Yuma has raised $5.75M and claims 100+ customers. Learn more at yuma.ai.
How much does Yuma AI cost?
Yuma uses outcome-based pricing where you only pay for tickets the AI fully resolves. Based on third-party sources, plans start around $350/month for 500 resolutions (~$0.70 each), scaling to $900/month for 1,500 resolutions (~$0.60 each). Enterprise pricing is custom. Note: Yuma's website no longer shows specific prices — you'll need a sales conversation to confirm current rates. By comparison, My AskAI starts at $60/month.
Does Yuma AI have a free trial?
Yes. Yuma offers a 30-day free trial on live tickets, plus a 100% ROI guarantee (if your automation savings don't exceed the fee, you pay nothing). However, you need to go through a demo and onboarding process to start the trial — you can't self-serve.
What helpdesks does Yuma AI integrate with?
Yuma integrates with Gorgias (primary, native one-click install), Zendesk, Kustomer, Gladly, and — announced in 2025-2026 — Front, Re:amaze, and Salesforce Service Cloud. It does not integrate with Intercom, Freshdesk, or HubSpot. If your helpdesk is one of those three, consider My AskAI instead.
What ecommerce platforms does Yuma AI work with?
Yuma's primary integration is with Shopify, with deep connections to order data, subscriptions, returns, and shipping. It also supports BigCommerce and WooCommerce (beta). Ecosystem integrations include Recharge, Loop Returns, ShipStation, ShipBob, Klaviyo, and Yotpo.
Is Yuma AI only for ecommerce?
Yes. Yuma is built exclusively for ecommerce brands — specifically Shopify merchants with high support volumes. They do not serve SaaS, fintech, travel, or other verticals. If you need AI support automation outside ecommerce, My AskAI supports all industries.
What resolution rate can I expect from Yuma AI?
Published case studies show 45-89% automation rates, depending on ticket mix. Brands with high proportions of repetitive queries (WISMO, refunds, subscriptions) hit 70-89%. More complex ticket mixes land 45-70%. Yuma claims some merchants see 40% automation by Day 3 of deployment, scaling up over weeks. See Yuma's case studies.
Does Yuma AI have hallucination problems?
Yes — AI hallucinations are the most commonly cited issue in G2 reviews of Yuma AI. Yuma has built features to mitigate this (Fact Snippets, Safety Guard with 15-20 QC checks, Hard Limits), and they published a blog post addressing the issue. But reviewers confirm it hasn't been fully solved.
How does Yuma AI compare to Gorgias Automate?
Yuma sits on top of Gorgias rather than replacing it. Gorgias Automate is the helpdesk's built-in AI (charges $0.90 per AI interaction). Yuma charges ~$0.65 per resolution and offers deeper automation with 75+ actions. The trade-off: you pay both your Gorgias subscription and Yuma's fees. For a detailed comparison of Gorgias AI options, see our Gorgias Automate guide.
Is Yuma AI secure?
Yuma achieved SOC 2 Type II certification in Q1 2026. They're headquartered in Cambridge, MA with a European office in Barcelona, Spain. For EU-based brands, GDPR compliance and data residency specifics are worth clarifying during the sales process.
What AI model does Yuma AI use?
Yuma uses a multi-model architecture with in-house AI orchestration. They started with OpenAI's GPT models and now use multiple foundation models cross-validated through their Safety Guard system (15-20 QC checks per reply). Specific model names aren't publicly disclosed.
What are the best Yuma AI alternatives?
The best Yuma AI alternatives depend on your helpdesk and vertical. My AskAI is 3-6x cheaper and supports Intercom, Freshdesk, and HubSpot (where Yuma is absent). For Gorgias-specific alternatives, see our 6 Best Gorgias AI Alternatives for 2026. Other options include Gorgias Automate, and Zendesk AI.
Can Yuma AI handle refunds and order changes?
Yes. Yuma's Process Builder includes 75+ pre-built actions that let the AI take real actions in Shopify — issuing refunds, editing orders, pausing subscriptions, generating return labels, and cancelling orders. This action-taking capability is one of Yuma's strongest differentiators versus chatbots that only answer questions.

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Written by

Mike Heap
Mike Heap

Mike is an experienced Product Manager who focuses on all the “non-development” areas of My AskAI, from finance and customer success to product design, copywriting, testing and more.

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