Intercom Fin vs Gorgias Automate: Features, Pricing & Results (2026)
Intercom Fin bills $0.99 per outcome. Gorgias Automate bundles AI in, then $0.85 to $1.00 an interaction past your allotment. My AskAI starts at $0.10 a ticket.
Summarize with AI
You have two quotes in front of you and they are priced in completely different currencies. Fin bills $0.99 per outcome as part of a $49/month base plan that includes the first 50 resolutions, while Gorgias puts a much smaller AI allowance inside your monthly plan fee. Go past that allowance and each extra automated interaction costs $0.85 to $1.00, depending on the plan.
Which one is cheaper depends entirely on your volume, so I have priced both sides here.
How are Intercom Fin and Gorgias Automate different from their old 'AI bots'?
Fin has been through three versions in three years, and the jump between them is steeper than the version numbers suggest. Fin 1 launched in March 2023 on GPT-4 at roughly 23% resolution. Fin 2 moved to Claude in October 2024 and opened at 51%.
Fin 3 arrived in October 2025 with Procedures, Simulations and Slack support, and it is still the current version. The model underneath it changed in March 2026, when Intercom swapped in Fin Apex 1.0, its own post-trained vertical model, which now answers close to 100% of English chat and email.

Apex is one of seven specialized models in the Fin AI Engine, and I have yet to see another vendor publish that breakdown.
That set includes a retrieval model, a reranker, an issue summarizer, a language detector covering 45 languages and an escalation router.
Gorgias took a different route. AI Agent 2.0 landed in mid-2025, and the Summer 2026 AI Agent 3.0 release is billed this way:
"A new generation, not an update."
One subscription now carries two roles: a Support Agent for post-purchase questions and a Shopping Assistant for pre-purchase ones.
Gorgias's agent also ships pre-trained on ecommerce before it sees a word of your content, and for me that is the bigger difference of the two. Every plan advertises pre-training across 18 or more verticals.
Who owns what, and why the names changed
The naming has confused more than one buyer I have spoken to this year. Intercom's parent company renamed itself Fin in May 2026, and Intercom is now the name of the helpdesk product. Both brands are live.
Salesforce has also signed a definitive agreement to acquire Fin. It was announced on 15 June 2026 and has not closed. The lock-in section below covers what that means for a buyer.
Both products review well on G2:
| Intercom Fin | Gorgias | |
|---|---|---|
| Rating | 4.5 / 5 | 4.6 / 5 |
| Reviews | 3,733 | 538 |
| Reviews page | G2 reviews | G2 reviews |
Those two ratings are not like-for-like, so I read them separately. Gorgias's AI Agent has no separate G2 listing, so that 4.6 covers the whole platform.
How does an AI customer service agent work in Intercom and Gorgias?
The retrieval half is much the same on both sides. The agent reads your content, finds the passages that match the question, and answers from them.
They split on what happens next. That is the first thing I test in a trial.
Gorgias adds a checkpoint. Its docs state that "before sending a generated response, AI Agent performs a quality check".
The same page continues: "The response is only sent if it passes a second AI model's confidence threshold. Otherwise, AI Agent hands the conversation over to your team."
That second model is a real safety feature. The cost is that its confidence threshold stays under Gorgias's control on every plan.
Gorgias sets the confidence threshold on every plan (including Enterprise). You cannot loosen it for a low-risk topic or tighten it for a sensitive one.
Gorgias's handover triggers are short and documented. The docs say: "AI Agent hands over to your team when it can't confidently respond, encounters a sensitive topic, or detects frustration from the shopper."
Fin's list looks similar on paper. It escalates on an explicit customer request, on your rules for sensitive topics, on low confidence and on frustration.
A frustration-triggered escalation is not billed.
The difference is who holds the dial. In my experience that is where your evaluation time goes. Fin's escalation guide states that "Escalation Guidance and Escalation Rules will override Fin's default behavior."

It also notes that "In some cases, Fin sends a message offering escalation instead of escalating immediately."
Both vendors then apply a billing rule to the same event, and this is the small print I read first. Fin's rate card says "You're not charged when a conversation is simply passed to your team without an outcome."
Gorgias's billing docs run a longer clock. An interaction counts as automated only if "the customer does not require the involvement of a human agent within 72 hours of the interaction."
How can I use my AI agent in Intercom and Gorgias?
I map the channel list first, because it rules one side out faster than anything else on this page:
| Channel or mode | Intercom Fin | Gorgias Automate |
|---|---|---|
| Web and in-app chat | ✅ Fin Messenger, web and mobile | ✅ |
| ✅ | ✅ | |
| SMS | ✅ | ✅ |
| Facebook Messenger | ✅ | ✅ new in the 3.0 release |
| Instagram DMs | ✅ | ✅ new in the 3.0 release |
| ✅ | ❌ (helpdesk channel only) | |
| Slack and Discord | ✅ (not when Fin runs standalone) | ❌ |
| Phone and voice | ✅ Fin Voice, one language per line | ❌ (paid add-on, outside the agent) |
| Agent-side draft mode | ✅ Fin Copilot | ❌ |
Direct replies
Direct replies are the primary mode on both sides. The agent answers inside the channel the customer used, and no human is in the loop unless it hands over.
Fin's surface list is the long one. It covers Fin Messenger on web, iOS and Android, plus email, phone, WhatsApp and SMS.
Add Facebook Messenger, Instagram, Zendesk Messenger and tickets, Salesforce Messenger and Cases, Slack, Discord and a public API.
Two fences on that list catch buyers out late (both bite only when Fin runs outside Intercom). Slack and proactive outbound are not supported when Fin runs standalone on Zendesk or Salesforce. Fin's sales qualifications and disqualifications are also Intercom-only.
Gorgias's AI Agent docs currently say "AI Agent can handle conversations over email, chat, and SMS."
The 3.0 release page is ahead of the docs. It adds two more: "Same AI Agent, same knowledge base, same skills, now live on Facebook Messenger and Instagram DMs."
The line right after that: "Context carries over from email, chat, and SMS, so every answer stays accurate and on-brand, wherever the conversation starts."
My read is that the release page is current and the docs are lagging. WhatsApp and TikTok are still not claimed for the AI Agent, even though the Gorgias helpdesk itself carries both.

Gorgias also runs two roles from one subscription. The Shopping Assistant "engages pre-purchase shoppers on email, chat, and SMS, helping them find products and make a purchase".
The Support Agent handles everything after checkout.
Copilot replies
Fin Copilot sits inside the Intercom, Zendesk and Salesforce inboxes, and I rate it as the underrated half of the product. It drafts replies for your agent to edit and send.
It costs $35 per user per month on Fin's rate card, with ten free Copilot conversations per agent per month on every plan. Intercom's pricing page prices the same add-on at $29 per agent per month billed annually and $35 billed monthly. That $29 is the Copilot add-on rate, separate from the $29 Essential seat price further down.
Gorgias has no equivalent. That is the gap I miss most. AI Agent sends or hands over, and there is no draft-and-approve mode for your team to edit first.
One Shopify merchant asked for exactly that and was turned down, writing on r/shopify:
"Then when I asked Gorgias to leave the ai in preview mode, to at least give our cs team an option to copy and paste the ai response, Gorgias said no."
Voice
Fin Voice answers the phone in 28 languages, with one language per phone line and no mid-call switching. Availability is managed by Intercom.
The price is quoted by sales, so there is no published per-minute rate to model.
Gorgias sells Voice as a separate add-on that sits outside the AI Agent. Its pricing page says "Add Voice or SMS to any plan."
It continues: "Pricing scales with your call and text volume, so you can choose the tier that matches your usage."
Which is easier to set up: Intercom Fin or Gorgias Automate?
Fin's pricing page carries the claim as a feature bullet: Set up in under an hour. That is fair for the switch-on, in my experience.
Setup is no-code. Engineering only appears when you build Data Connectors or advanced Procedures.
Tuning is where the hours go. I budget for it separately from the switch-on. One Capterra reviewer reported around 28% resolution out of the box, and put the gap down to content engineering.
Intercom's own community guidance points the same way. It suggests 30% to 50% as a good starting resolution rate for a new customer.
Fin gives you the best testing ladder here in return, well ahead of anything Gorgias publishes. You get Previews, plus Batch tests of up to 50 questions with CSV export. I would spend the trial on the batch tests, because that is where a thin help center shows up first.
There are also multi-turn Simulations against Procedures and percentage-based Controlled Rollout. A hard resolution cap switches Fin off if it trips.

Gorgias starts faster for the obvious reason. If the helpdesk and the storefront are already there, turning the agent on is a setting.
There are two catches, and I would raise both on a demo call. The first is scoping, and Gorgias's docs are explicit: "You get a dedicated AI Agent for each Shopify store you connect."
A three-store brand configures three agents.
The second is the entry plan, which is thinner than I expected. On the $40 Starter tier, Actions and brand-voice guardrails are both blank in the live feature matrix. That agent can answer questions, but it cannot apply a discount or cancel an order.
Merchants also describe the training work as open-ended. One r/shopify merchant put it this way after giving up:
"I spent a lot of time training it to ignore certain questions and then ultimately decided it wasn't worth the effort."
I co-founded My AskAI, so I am not a neutral party here. It installs into Intercom or Gorgias from each helpdesk's own marketplace in 10 to 15 minutes, no developer needed.
Internal Notes mode is the default on-ramp. The AI drafts a private note on every ticket. You flip it to direct replies when you are ready.
How do Intercom Fin and Gorgias Automate differ in what they can be trained on?
'Static' content
By static content I mean the written material that changes on your schedule: help center articles, web pages, PDFs and internal wikis.
Fin's list is longer, with one restriction attached that decides deals.
Notion, Guru and Confluence integrate for Fin AI Copilot only, so they cannot be used for autonomous customer-facing replies. Intercom's advice is to manage customer-facing content natively instead.
Sync cadence varies by source, and I would map it against how often your docs actually change. Intercom-native articles are close to instant, and a Zendesk Help Center syncs hourly.

Notion, Guru and Confluence sync every 24 hours, Salesforce Knowledge daily and view-only, and public URLs weekly. PDFs need a manual re-upload (diary that one). You can connect up to ten external sources with 3,000 URLs each.
Fin also does not answer directly from past tickets. It drafts snippets from closed conversations, capped at 200 per import.
Its own training guide is blunt about the dependency: "Fin AI Agent is hungry for information. The more you feed it, the better it performs."
Gorgias takes help center articles, website content, documents, guidance and Shopify data. Its configuration primitive is now Skills, renamed from Guidance.
It does not reuse your macros either, which is the answer that lands hardest on a team that spent years building them (Skills are a separate build). I scope it as a rebuild when I price a switch. Gorgias's own answer:
"No. AI Agent generates its own responses from your skills and knowledge, not from macros"
'Dynamic' content
Dynamic content is live system data: orders, subscriptions, stock, account records.
Gorgias is at its strongest and its narrowest here. Its AI layer reads the Shopify catalog and order data directly, which is why it answers stock and variant questions without a custom build.

The Gorgias helpdesk supports WooCommerce, BigCommerce and Magento, but the AI Agent only works against Shopify. That is the first thing I ask an ecommerce team about.
If you sell on anything else, Gorgias Automate is out.
Fin covers ecommerce through Fin for Ecommerce. It syncs pricing, availability and variant information straight from a Shopify catalog, and adds five pre-built Shopify Data connector templates.
Other platforms fall back to a catalog connector, and my advice is to test it against your real product feed.
| Source | Intercom Fin | Gorgias Automate |
|---|---|---|
| Help center articles | ✅ | ✅ |
| Website and public URLs | ✅ (weekly sync) | ✅ |
| PDFs and documents | ✅ (manual re-upload) | ✅ |
| Past tickets | ✅ (auto-drafted snippets, not direct) | Not documented |
| Notion, Guru, Confluence | Copilot only | Not documented |
| Google Drive, OneDrive, Dropbox, SharePoint | Not documented | Not documented |
| Salesforce Knowledge | ✅ (daily, view-only) | Not documented |
| Live Shopify catalog | ✅ | ✅ |
| Non-Shopify storefronts | Catalog connector | ❌ |
| Internal-only marking | Copilot-only sources | Not documented |
My AskAI sits differently on that table. Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce and Shopify are all connectable for customer-facing replies.
Historic tickets train the agent directly. Private mode marks any single source internal-only.
Which has better answer quality, Intercom Fin or Gorgias Automate?
Fin's headline figure is 76%. Its guarantee page states that "Fin's average resolution rate has grown from 30% to 76% since launch."
The same 76% turns up in Salesforce's press release, describing "examples of AI agents resolving on average 76% of support volume end-to-end."
Its help center sets a specific bar, and a resolution is only counted:
"when, following Fin's last answer in a conversation, the customer either confirms the answer was satisfactory (confirmed resolution), or exits the conversation without requesting further assistance (assumed resolution)."
A customer who disengages for 24 hours counts as an assumed resolution. Reopened conversations are clawed back.
So a chunk of that 76% is silence read as success. I would still call that defensible, because a customer confirming the fix is a stronger signal and a much rarer one.
Gorgias's marketing number is 60%, and I noticed it has been demoted. The AI Agent page hero now leads with the AI Agent built for ecommerce. The 60% claim has moved to the nav and to llms.txt.
No published Gorgias merchant reaches it. Orthofeet is the best case study on the site, headlined at 56% of tickets automated in two months.
First response times there dropped to 35 seconds on email and 13 seconds on chat.
On the pricing page, Orthofeet's Courtney Bajek puts it as: "When we first started with Gorgias, our goal was to hit 30% automation in 30 days. We surpassed that and are now above 50% automation, and we're still climbing."
Fin's best published customer number is higher again. WHOOP reports a Fin-powered funnel that resolves up to 84% of the questions it handles. Fin takes over 3,500 resolutions a month there.
Operators are less generous than either vendor. A current Gorgias customer wrote on r/ecommerce: "It's probably fine for basic questions like order status, but we use Shopify so a customer can just click on their order email to see the order status. […] The AI agent does more harm than good in almost all tickets that involve complexity above like a fifth grade education level."
The Fin-side complaint is different and sharper. One r/intercom poster put it like this: "with per-resolution pricing, every missing KB article is a recurring line item: you pay for the same gap hundreds of times a month until someone writes the doc."
For context on the wider field, our own resolution-rate benchmark research covers 195 rated deployments across 38 vendors. The median AI handling rate there is around 70%.
Three caveats travel with that number. It is an aggregate across vendors, and the deployments behind it were measured in different ways. The sample also self-selects toward teams willing to publish.
The label on the metric drives most of that spread. I check which word a vendor used before I trust its number. Deployments labeled "resolution" have a median of 72.5%, while deployments labeled "automation" sit at 61%.
Fin publishes a resolution rate and Gorgias publishes an automation rate. That is most of why the two look further apart than they are.

Is Intercom Fin or Gorgias Automate easier to improve?
Gaia arrived in the Summer 2026 release. It is the most interesting thing I have seen either vendor ship this year.
Gorgias calls it an AI coaching engine that continuously improves your AI Agent. Gaia coaches the AI itself, which is what separates it from a copilot. The three-step pitch is "Diagnose. Draft. Ship."
The promise: "It finds what's holding your AI Agent back, drafts the fix, and ships on your approval."
Gorgias claims it turns around ten hours a week of tuning into fifteen minutes, and I have not seen a merchant verify that yet. A human still approves everything that publishes.
Gorgias states that "Gaia is free during our Open Beta. You'll have full access to its coaching capabilities at no additional cost while we continue expanding its features and gathering customer feedback. Pricing after the Open Beta will be announced at a later date."
A fourth product line is arriving at a price nobody has announced.
Fin has its own version of Gaia and calls it Operator. It is easy to miss, because Intercom sells it as a line on an add-on card rather than as a headline product.
Fin's rate card describes Operator as "an agent for your customer operations", and Fin's help center documents it doing procedures, conversation debugging, knowledge base management, guidance rules, reporting and analysis, and incident detection.
The same rate card meters that work in credits and puts the expensive end at "analyzing large sets of conversations, building automation, or testing changes". That is Gaia's diagnose-draft-ship loop wearing a different name.
Fin also keeps a free half, and I watch the split more closely than the price. It checks for content gaps every time a conversation closes, then auto-drafts snippets from it.
The paid half is the Recommendations and Optimize surface. It covers content gaps, customer-data gaps, action gaps and weekly impact-ranked recommendations you accept or reject.
Operator and Optimize both sit inside the Pro add-on, so I price them in before comparing them with Gaia's free beta. Pro reads From $99 Per month, and Operator's credits cost $0.01 each once the bundled monthly allowance runs out.
Gaia costs nothing while the beta lasts, and that is the difference a buyer can actually price today.
Fin's remaining edge here is testing.
Previews, Batch tests, Simulations and Controlled Rollout let you prove a change before customers see it. Gorgias has no published equivalent, and on a trial that is the first thing I would go looking for.
One Fin gap sits on my trial checklist. The Improve Answer button does not appear when the answer came from a Procedure, so the most complex answers are the ones you cannot correct in place.
Gorgias's answer is its Reasoning view. It shows which sources and actions the agent used on a given conversation.

Which has more features: Intercom Fin or Gorgias Automate?
The capability that surprised me most on this comparison belongs to Gorgias. Its Shopping Assistant "creates a new unique discount code in your Shopify admin" when a shopper hesitates.
The docs add that "Each code is valid for 3 days and limited to a single use". That is a real code sitting in your admin, ready to use.
It also renders a visual Shopify product card in chat, with a direct add to cart (no merchant code required).
Refunds, cancellations, returns and subscription edits run natively, including through Recharge and Loop, and Actions auto-provision when you connect an app.
The 3.0 release added image-aware recommendations: "A search for 'navy crewneck' or 'slim-fit olive jacket' gets the right result, even if the product text never uses those words."
Vision now works in chat as well as email, and the integration library is at 254 apps. Gorgias has also announced a first-party MCP server, and it has no published documentation yet. I would treat it as unbuilt until that lands.
Gorgias has a named customer for that pre-purchase role. TUSHY reports 13x ROI and a 15% lift in chat conversion rate.
The Shopping Assistant also converts chat at twice the rate its human agents do.
Fin's list is longer and less commerce-shaped. On raw breadth it is the one to beat. Procedures handle multi-step agentic workflows with conditionals, Python snippets and wait-for-webhook steps.
Then add Data Connectors, Fin Vision and 45 languages. You also get up to 300 brands in one workspace on Expert, the guarantee programs and Fin over API.
I would read Fin's own comparison of its automation surfaces before you build anything. Procedures are for "Complex, multi-step processes that require AI reasoning".
The same article adds that Fin "can jump sections, revisit steps, switch Procedures, and adapt when customers change direction mid-conversation."
Tasks is the older surface. Fin describes it this way:
"Simpler, linear automation that doesn't require AI adaptability. Being phased out — new Task creation disabled from March 12, 2026."
Both sides have limits you should know before a demo flatters them, and I ask about these two by name. Gorgias recommends products at one level only:
"at the product level, not the variant level"
Its stock and region filtering applies in chat only. So an email or SMS reply can still discuss something you cannot ship.
Fin has no documented pre-purchase delivery ETA, and its ecommerce role is Messenger-first. Setup means installing the Intercom app embed into your Shopify theme. That rules it out as a drop-in for a standalone Zendesk or Salesforce deployment.
| Feature | Intercom Fin | Gorgias Automate |
|---|---|---|
| Multi-step agentic workflows | ✅ Procedures | ✅ Actions |
| Image understanding | ✅ Fin Vision | ✅ Vision, chat and email |
| Voice channel for the AI agent | ✅ Fin Voice, 28 languages | ❌ |
| Real Shopify discount codes | Not documented | ✅ |
| Product card with add to cart in chat | Not documented | ✅ |
| Refunds, cancellations, returns | ✅ via Procedures | ✅ native, plus Recharge and Loop |
| Languages | 45 | 80+ |
| Multi-brand | ✅ up to 300 brands on Expert | ✅ unlimited stores, one agent each |
| Agent available over API | ✅ Fin over API | MCP server announced, undocumented |
| Resolution guarantee program | ✅ $1M guarantee | ❌ |
How easy is it to customize Intercom Fin and Gorgias Automate?
Fin's Guidance is written in plain English (no rules builder, no branching UI). The categories are Communication Style, Context and Clarification, Content and Sources, Spam, Escalation and per-channel rules.
You get up to 100 active guidance pieces per conversation, at up to 2,500 characters each. There are five tone presets and three answer-length settings, with roughly a 30% length delta between them. Pronoun formality is set per language (useful if you sell into Germany or Japan).
An AI writing assistant checks new guidance for ambiguity, redundancy and contradictions before it goes live. Reporting then shows the resolution-rate uplift for each piece.

Guidance that reports its own resolution-rate uplift is rare. It is the feature I rate most highly on the Fin side.
Fin Audiences is the deeper lever. You build reusable segments from People, Company and Conversation attributes, such as plan equals Premium or monthly spend above 10k.
Then you apply them to content, guidance, Data Connectors, Tasks and Workflows.
Three behaviors will catch you out. Two audience layers must both match for a rule to apply. Multiple audiences on one item are OR'd together.
Changes also apply only to new conversations (worth knowing before you rush to fix a live problem).
Gorgias's controls are commerce-shaped. You pick from four discount strategies, running from no discount through conservative and strategic to generous.

There are three selling styles too: educational, moderate or promotional. Brand-voice guardrails sit alongside them.
All three of those are blank on the $40 Starter plan, which is why I never judge Gorgias on Starter. The entry tier answers in a default voice and cannot be tuned.
Gorgias's confidence threshold is not customer-adjustable on any plan. That puts a ceiling on how far you can push the agent, even once you are paying for the controls.
What about vendor lock-in?
The base case is the same on both sides. Whatever you build stays with the vendor, so I treat lock-in as a fixed cost on both quotes.
Once you have built a knowledge base, Procedures or Skills, guidance and connectors, moving means rebuilding all of it.
Gorgias's lock-in is the narrower of the two and the harder to leave. The AI Agent runs only inside Gorgias, and only against Shopify.
A brand on BigCommerce, WooCommerce or Magento can buy the Gorgias helpdesk and still not get the AI layer.
Fin's reaches further. It runs standalone on Zendesk, Salesforce, Freshdesk and HubSpot (no Intercom subscription required).
You lose Slack, proactive outbound and Fin for Sales when it does.
Intercom also prices in USD only, and annual subscribers cannot cancel mid-term for a refund.
The ownership question a Fin buyer should ask
In May 2026 Intercom renamed itself Fin.
In the words of CEO Eoghan McCabe on Intercom's own blog: "Fin started as Intercom 15 years ago. We changed our name to cap our transformation just weeks ago."
A month later, the same post announced the sale. McCabe wrote: "We're excited to share that we just signed an agreement for Salesforce to acquire Fin for ~$3.6B. The transaction is expected to close in the fourth quarter of Salesforce's fiscal year 2027."
Salesforce's press release confirms the timing and adds the condition. Closing is "subject to the satisfaction of customary closing conditions, including the receipt of required regulatory clearances."
The two announcements differ on what happens to the product. The Agentforce framing appears only on Salesforce's side, in Marc Benioff's line:
"Fin brings proven agent technology, a deep commitment to customer success, and an incredible AI team that will complement Agentforce with powerful service agent capabilities."
Nothing on the Intercom post says that. I read the gap as deliberate. The two remain separate products today.
The deal has not closed.
Intercom's own post says "And yet little will practically change. I'll still be CEO, Des will still be running R&D, we'll both still be committed to continuing to lead this category."
Nothing has changed for a Fin customer today. Your agent works the way it worked last month, and your invoice looks the same.
A three-year commitment on the other side of a close deserves a question. I would ask it while you still have leverage in the negotiation. Give it the same weight as price and resolution rate.

Gorgias has no ownership change in flight. It also charges no per-store tax on unlimited stores and brands.
My AskAI installs into Intercom or Gorgias, along with Zendesk, Freshdesk and HubSpot. The trained agent moves with you if you change helpdesk later.
Do they have any other AI features?
Tagging
Fin's classification layer is Topics Explorer. It auto-groups conversations into topics without you defining them first (no taxonomy to maintain).
The Topic Trends Report then surfaces volume spikes and resolution drops against those topics.

That sits inside the Pro add-on. Fin's rate card describes it as "Advanced AI features to analyze performance, monitor quality, and improve Fin, plus Operator, an agent for your customer operations."
The bundle covers Operator, CX Score, AI Topics, Trends, AI Recommendations, Monitors and Custom AI Scorecards. It reads From $99 Per month.
CX Score is the standout of the set for me. It scores 100% of conversations for quality, against the 5% to 10% you typically get back from a CSAT survey.
Gorgias's 3.0 release rebuilt its three AI Agent reports and added per-user customizable views. In its words, that comes "plus new metrics to measure Customer Engagement performance".
I read that as a reporting refresh. Audit logs are still blank on Starter and Basic.
Agent translation
Fin handles 45 languages for both the AI Agent and Copilot. Detection comes from browser settings, Messenger locale or a WhatsApp number prefix.
Two limits are documented, and I raise both with anyone selling outside English. Intercom's own Fin FAQ calls Fin's ability to answer outside the supported list "currently unpredictable".
Copilot will also not translate existing content to answer in another language.
Gorgias covers 80 or more languages and adapts tone per channel. It runs shorter and faster on chat and SMS, and fuller on email.
Help center quick answers
Gorgias's proactive surfaces are search assist and AI FAQs. I read their billing rule twice. Both answer a shopper before they open a ticket.
The billing docs are specific about how they bill:
"You are charged both a ticket fee + automation fee when a shopper replies to AI Agent's initial message from either search assist or AI FAQs, and AI Agent continues and completes the conversation without handing over the ticket to a human agent."
The other half is fairer than that sounds. The same docs add: "You are not charged any fee if a shopper ignores and does not respond to AI Agent's initial message from search assist."
You only pay once the shopper engages.
What about security, is Intercom Fin more secure than Gorgias Automate?
Fin's trust center is the longer list. I counted SOC 2, ISO 27001:2022, ISO 27018, ISO 27701 and ISO/IEC 42001:2023.
Add GDPR, CCPA, HIPAA, HDS, AIUC-1, CSA STAR, CSA STAR for AI and the EU AI Act.
Downloadables include the SOC 2 Type 2 report, ISO certificates and a Statement of Applicability. You also get the HIPAA report, the HDS certificate and penetration tests from 2025 and 2024. PCI-DSS is absent.
Data residency covers the US, the EU in Dublin, and Australia in Sydney (three availability zones each).
Encryption is TLS 1.2 or better in transit and AES-256 at rest. Zero Trust access and biometric auth apply on managed devices. Published subprocessors are AWS, OpenAI, Mailgun and SparkPost.
Gorgias's set is narrower and clearly stated. Its security docs say "Gorgias comply with stringent data privacy regulations such as GDPR, CPRA and all applicable privacy laws" and that "Gorgias is also SOC 2 Type II compliant since 2020."
The two vendors differ most on what happens to your data after it leaves the ticket. Gorgias's answer is a flat no: "No, the data AI Agent accesses does not train large language models (LLM) from OpenAI or other 3rd-party providers."
Intercom's answer is more nuanced. It trains its own custom models on customer data, de-identified through Microsoft Presidio.
BAA customers, regionally hosted EU and Australia workspaces and prior opt-outs are excluded automatically. A self-serve opt-out is available.
Its LLM providers operate under zero-data-retention agreements. Intercom does not publish them.
If you are the person filling in the security questionnaire, I would look past the badge list to the plan-level controls.
Gorgias puts SSO via SAML, audit logs and SCIM provisioning behind Enterprise. Audit logs are blank on Starter and Basic. Its API is rate-limited at 2 requests per second below Enterprise, and 4 above it.
Gorgias's certification set and Fin's both describe the vendor's own management system. Neither one covers how you configured escalation, discount limits or data access inside it.
Which costs more, Intercom Fin or Gorgias Automate?
The pricing model
Fin is outcome-priced. I find it the harder of the two to forecast. Fin's rate card lists it as "$0.99 per outcome" with a "50 outcomes per month minimum".
The outcome pricing article gives the floor: "Fin is priced at $0.99 per outcome (United States Dollars), which is billed as part of a base plan costing $49 per month. The base plan for Fin with your helpdesk includes 50 resolutions, with additional outcomes charged at $0.99 each."
Unused resolutions do not roll over.
The word 'outcome' covers more than resolutions. I keep the categories apart in my own model.
Fin's taxonomy, from the same rate card: "Resolutions, Procedure handoffs, and disqualifications are $0.99 each. Qualifications are $9.99 each. You're not charged when a conversation is simply passed to your team without an outcome."
A conversation bills once, even when Fin takes several actions in it.
Seat prices move depending which Intercom page you land on, so I quote from the one the contract will reference. On Intercom's own pricing page, Essential is $29 per seat per month at list price, with Advanced at $85 and Expert at $132.
You will see $19 quoted on Fin's own pricing page for the same seat. That is the 35% off new-customer offer on Essential.
Lite seats are free on Advanced and Expert only (handy if you have a big read-only team).
Run Fin standalone on a helpdesk you already own and there are no seats to buy at all. The rate card puts it this way:
"Unlimited teammates – No additional seat costs."
It also states "There are no additional costs, such as integration fees, setup fees, or platform charges."
Gorgias bundles the AI into the helpdesk plan, in the words of its pricing page: "Helpdesk + AI Agent. One platform. One inbox. One bill."
It then meters you against two separate allowances.
| Plan | Monthly | Annual | Included | Ticket overage | AI overage |
|---|---|---|---|---|---|
| Starter | $40 | Monthly only | 50 tickets, 30 automated interactions | $0.40 per ticket | $1.00 per interaction |
| Basic | $90 | $77 | 300 tickets, 30 automated interactions | $0.40 per ticket | $0.90 per interaction |
| Pro | $550 | $471 | 2,000 tickets, 190 automated interactions | $0.36 per ticket | $0.90 per interaction |
| Advanced | $1,430 | $1,227 | 5,000 tickets, 530 automated interactions | $0.36 per ticket | $0.85 per interaction |
| Enterprise | Custom | Custom | 5,000+ conversations | Custom | Custom |
The allowance I model first is the second column. Pro bundles 2,000 tickets and 190 automated interactions.
Automate 30% of a full Pro plan's ticket volume and you are 410 interactions into overage.
That gap is the number I model against your busiest month. Pro bills each extra interaction at $0.90, so 410 of them add $369, and every one also counts against the ticket allowance.

Advanced is now sales-gated too, so self-serve tops out at Pro.
There is also a double charge, and Gorgias documents it: "You are charged both a ticket fee + automation fee if AI Agent responds to a ticket and does not hand over the conversation to a human agent".
The carve-out belongs in the same breath: "If your subscription is based on legacy pricing, a ticket is either counted toward your usage for helpdesk tickets or automated interactions, but not both."
Check which of those you are on before you model anything. I would trust the billing docs over the marketing blog, because Gorgias's own blog still contradicts them.
Its AI Agent pricing post ends the same explanation with: "You're not charged for both."
The overall cost
Take 10,000 tickets a month and model a 50% AI handling rate on both sides. That sits between Gorgias's best published merchant result of 56% and the roughly 70% field median from our own benchmark research.
So it is defensible for either vendor.
Fin's $49 base plan covers the first 50 resolutions, so 4,950 further outcomes bill at $0.99 each.
Gorgias's Advanced plan covers 5,000 tickets and 530 automated interactions. So 5,000 extra tickets bill at $0.36, and 4,470 extra interactions at $0.85.
| At 10,000 tickets/month, 50% handled by AI | Intercom Fin | Gorgias Automate |
|---|---|---|
| Plan or base fee | $49 | $1,430 |
| Ticket overage | $0 | $1,800 |
| AI charges | $4,900.50 | $3,799.50 |
| Monthly total | $4,949.50 | $7,029.50 |
Two caveats on that Gorgias column, and I carry both into any quote. Advanced is sales-gated, so a brand at this volume would be quoted Enterprise.
The Gorgias total also bundles the helpdesk itself, while Fin's column is the AI charge on a helpdesk you already pay for. The two totals are not a like-for-like AI line.
The Fin column is also the one that grows as the agent gets better. As one r/intercom customer of fourteen months put it:
"We have been on Fin for about fourteen months and the bill has roughly tripled as we have scaled ,which is fine in principle because volume tripled too,but the per resolution cost is starting to feel like we are subsidising Intercom's R&D."
That is the structural argument I made on LinkedIn in June. Per-resolution pricing is a tax on your own success.
My AskAI prices the same 10,000 tickets differently, at $1,299 a month on the Scale plan, charged per ticket whether the AI resolves it or not. You pay when the AI works rather than only when it succeeds, so the bill stays flat as resolution climbs.
That figure is the AI charge only, on top of whichever helpdesk seats you keep paying either way. There is a 30-day free trial with all features unlocked, unlimited tickets and no card.
If cost is the whole decision, our Gorgias vs Intercom AI pricing comparison page runs this head-to-head in more detail. The Intercom Fin pricing explainer and the Gorgias AI Agent one go deeper again on each side.
Either way, the Gorgias ROI calculator and the Intercom one will do the arithmetic against your own volume.
Conclusion - should I choose Intercom Fin or Gorgias Automate?
Fin takes this on the evidence. The condition that flips it is narrow: you sell on Shopify, you already run Gorgias, and your automated-interaction volume fits inside your plan.
Fin's own vs-Gorgias page prices Fin and declines to state Gorgias's prices, so the volume arithmetic is on the buyer either way.
Here is how I scored the eleven categories.
| Intercom Fin | Gorgias Automate | ||
|---|---|---|---|
| Modes | 9/10 | 6/10 | Fin win |
| Ease of setup | 7/10 | 8/10 | Gorgias win |
| Training/Integrations | 7/10 | 7/10 | Tie |
| Answer Quality | 8/10 | 6/10 | Fin win |
| Improving | 8/10 | 8/10 | Tie |
| Features | 9/10 | 7/10 | Fin win on breadth |
| Price | 7/10 | 7/10 | Tie, volume decides |
| Customization | 8/10 | 6/10 | Fin win |
| Lock-in | 5/10 | 7/10 | Gorgias win |
| Other AI features | 8/10 | 6/10 | Fin win |
| Security | 9/10 | 7/10 | Fin win |
Fin finishes on 85 against 75. The two rows it loses are setup and lock-in, which a support lead lives with every week after the contract is signed.

Gorgias takes both, and I would weight them heavily for a team already on Shopify.
The two lose in different ways. Gorgias's weaknesses are structural, in that it will never answer a WooCommerce brand's stock question or pick up the phone.
Fin's are commercial. The bill rises as the agent improves, and the company behind it has agreed to a sale that has not closed. I read both as negotiating leverage.
There is a third route. My AskAI installs into either helpdesk and charges per ticket, resolved or not, so you keep the desk you have and the bill stays flat as the agent improves.
If Zendesk is also on your shortlist, we have run the same eleven categories on Zendesk AI against Intercom Fin.
And if you want the wider field, the Intercom Fin alternatives roundup and the Gorgias Automate alternatives roundup both cover what else is out there.
FAQs
Can Gorgias Automate fully replace Intercom Fin, or the other way round?
No, in either direction. Gorgias's agent works only inside Gorgias and against Shopify, and Gorgias is not among the helpdesks Fin names. Replacing one with the other means replacing the helpdesk too.
If you want to change the AI without changing the desk, My AskAI installs into either one, and the trained agent comes with you if you switch helpdesk later.
What can each AI agent be trained on?
Fin reaches more static sources, though the best of them are locked to Copilot in my reading. Notion, Guru and Confluence cannot be used for autonomous customer-facing replies.
Gorgias reaches deeper into one live system, the Shopify catalog. Its docs add help center articles, website content, documents and guidance alongside it.
Neither answers directly from your past tickets, though Fin auto-drafts snippets from closed conversations.
How long does setup take and do we need developers?
Fin's own pricing page claims setup in under an hour, and that is fair for the switch-on. Neither product needs a developer for the standard install, so I would not budget for one.
Fin only needs engineering for Data Connectors and advanced Procedures. Gorgias is close to a toggle if the helpdesk and Shopify store are already connected.
Two things slow Gorgias down: you configure one agent per connected Shopify store, and the $40 Starter plan has no Actions or brand-voice guardrails at all.
How do Intercom Fin vs Gorgias Automate pricing models differ, and what might we actually pay?
Fin charges per outcome as part of a $49/month base plan that includes the first 50 resolutions, so the bill tracks how much the AI resolves (and climbs as it gets better). That rate card is on Fin's pricing page.
Gorgias bundles a ticket allowance and a much smaller AI allowance into a monthly plan fee, then charges per interaction past it. In our modeling, the AI allowance is the one that runs out first.
| Intercom Fin | Gorgias Automate | |
|---|---|---|
| Pricing model | Per outcome, on a $49/mo base plan | Plan fee with bundled ticket and AI allowances |
| Headline rate | $0.99 per outcome ($9.99 per qualification) | $0.85–$1.00 per automated interaction past the allowance |
| At 10k tickets, 50% AI | $4,949.50/mo | $7,029.50/mo on Advanced plus overage |
| Free trial | 14 days, no card, unlimited outcomes | 7 days, no card, all features |
Both figures assume the same 50% AI handling rate. The Gorgias total includes the helpdesk, while Fin's is the AI charge on a helpdesk you already run.
Did Intercom change its name to Fin?
Yes. The parent company renamed itself Fin in May 2026, and its CEO put it as: "Fin started as Intercom 15 years ago. We changed our name to cap our transformation just weeks ago."
Intercom remains the name of the helpdesk product. Both brands are still live, so "Intercom Fin" is still the right way to describe the AI agent.
On 15 June 2026 Salesforce signed a definitive agreement to acquire Fin for around $3.6B, expected to close in the fourth quarter of Salesforce's fiscal year 2027.
That deal has not closed.
Can they handle multilingual support and agent translations?
Fin covers 45 languages across both the AI Agent and Copilot, auto-detected from browser settings, Messenger locale or a WhatsApp number prefix. Fin Voice covers 28, with one language per phone line (no mid-call switching).
Intercom's own FAQ calls Fin's behavior outside the supported list currently unpredictable. Copilot will not translate existing content to answer in another language.
Gorgias covers 80 or more languages and adapts its tone per channel.
How do Intercom Fin and Gorgias Automate compare on security and compliance?
Both clear the bar most B2B and DTC buyers set. Gorgias has been SOC 2 Type II compliant since 2020, and its security docs state that AI Agent data does not train third-party LLMs.
Fin holds the broader set, including ISO 27001:2022, ISO 42001, HIPAA, HDS, AIUC-1 and CSA STAR (PCI-DSS is not on the list).
Watch the plan-level controls as well as the badges. Gorgias keeps SSO, audit logs and SCIM on Enterprise, and audit logs are unavailable on Starter and Basic.
Does each one offer a free trial?
Fin gives you 14 days with no credit card, unlimited outcomes during the trial and no seat minimums or maximums. Gorgias gives you 7 days, also with no card, and states that the trial gives access to all features.
I would call Fin's the more useful of the two for testing an AI agent. Unlimited outcomes means the trial does not cap the thing you are trying to measure.