Mike HeapMike 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.
Table of Contents
- Intercom Fin vs Sierra AI at a glance
- How are Intercom Fin and Sierra AI different from their old 'AI bots'?
- How does an AI customer service agent work in a helpdesk vs above one?
- How can I use each agent, customer-facing, copilot, or voice?
- Direct replies
- Copilot replies
- Voice
- Which is easier to set up: Intercom Fin or Sierra AI?
- How do Intercom Fin and Sierra AI differ in what they can be trained on?
- 'Static' content
- 'Dynamic' content
- Which has better answer quality, Intercom Fin or Sierra AI?
- Is Intercom Fin or Sierra AI easier to improve?
- Which has more features: Intercom Fin or Sierra AI?
- How easy is it to customize Intercom Fin and Sierra AI?
- What about vendor lock-in?
- Do they have any other AI features?
- Tagging
- Agent translation
- Analytics and quality
- What about security, is Intercom Fin more secure than Sierra AI?
- Which costs more, Intercom Fin or Sierra AI?
- The pricing model
- The overall cost
- Conclusion - should I choose Intercom Fin or Sierra AI?
- FAQs
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I scored both across eleven categories. Fin wins five, Sierra two, four are level. Fin publishes $0.99 per outcome and you can trial it yourself. Sierra publishes no price and no average resolution rate, only hand-picked customer figures, and it leads on outbound voice and FedRAMP High.
You are weighing up two vendors where one of them told you the price on a web page and the other one wants a call first. That gap is usually the whole evaluation.
Fin publishes $0.99 per outcome and a help center you can read before you buy. Sierra keeps its price behind a sales call.
I am one of the founders of My AskAI, so I obviously cannot be completely impartial here. Neither product below is ours.
We help 200+ ecommerce and SaaS businesses run AI customer service inside the helpdesk they already have. Our agents have resolved over 1,000,000 tickets between them.
Intercom Fin vs Sierra AI at a glance
Intercom Fin | Sierra AI | |
What it is | AI agent priced per outcome, on Intercom or any helpdesk | Enterprise agent platform with no helpdesk of its own |
Headline price | $0.99 per outcome, 17 Aug 2026 | No published rate, sales call only, 17 Aug 2026 |
How you buy it | Self-serve, 14-day trial, no card | Sales-led: no published price, no trial, no self-serve signup |
Best for | Being live this month on a forecastable bill | Voice-led work across a large backend estate |
Not a fit for | Teams needing PCI DSS 4.0.1, which is not on Intercom's trust center | Teams that need a price before a sales call |
Biggest limitation | Billed per outcome, in USD only, so the bill grows with volume | No pre-sale technical detail: docs, help and support sit behind a login |
Scorecard | 5 category wins of 11, 4 tied | 2 category wins of 11, 4 tied |
How are Intercom Fin and Sierra AI different from their old 'AI bots'?
TL;DR: Both replaced scripted bots with agents that reason and act. Fin runs inside Intercom's helpdesk and bolts onto Zendesk, Salesforce, Freshdesk and HubSpot. Sierra runs on top of your CRM and phone systems.
Fin 3 is the current generation. Since March 2026 the chat answers come from Fin Apex 1.0. Fin's own page calls it "the flagship of the Fin model suite".
I had to read that page twice to get the naming straight. Apex is a model inside Fin 3, and Fin is still on its third version.
Sierra calls itself an Agent OS: a layer above your CRM, order management and contact center systems, joined by API. It is not a helpdesk.
Bret Taylor and Clay Bavor founded it in 2023. TechCrunch reported a $950M round in May 2026, pushing the post-money valuation "above $15 billion".
Sacra sells private-market research, so take this one with a grain of salt. It estimates that Sierra "hit $200M in ARR in May 2026, up from ~$130M at the end of 2025 and $26M at the end of 2024".
Both review well on G2:
Intercom Fin | Sierra | |
Rating | 4.5 / 5 | 4.4 / 5 |
Reviews | 3,901 | 87 |
Reviews page |
Our full guides to Intercom Fin and to Sierra AI go deeper on each product.
How does an AI customer service agent work in a helpdesk vs above one?
TL;DR: Fin answers inside the inbox and bills per outcome. Sierra runs as a layer above your systems, calls into them by API, and hands off to a contact center it does not own.
Fin splits the work across a suite of small models. The Fin CX model page lists eight of them: Apex 1.0, Apex Flash, Retrieval, Reranker, Issue Summarizer, Feedback Parser, Language Detector and Escalation Router.
Apex Flash is the one built for speed. Fin calls it "a new version of our flagship Apex model, built for latency-sensitive tasks".
Fin claims Apex delivers a "2.8% higher resolution rate" and "0.6 seconds faster time to first token" than Sonnet 4.6 (Fin's own benchmark, so read it as a direction).
Fin defines a resolution as a conversation where the customer's issue was "solved end to end, with no human follow-up required".
Deflection is a different measure. I check which one a vendor means before I read any number they publish. Fin counts a conversation that never reaches a human, which "includes abandoned conversations, customers who gave up, partial answers" and "frustrated users who stopped responding".
Sierra runs what it calls a Constellation of Models: 15+ frontier, open-weight and proprietary models, with supervisory agents on top and automatic failover between providers. Ask about the failover. It decides what customers see when a provider has a bad hour, and no vendor has ever raised it with me first.
Its engineering post on guardrails sets out a layered design, with checks sitting between the customer's message and the agent's reply.
That design costs you a single view of the conversation. Sierra holds the bot-side data, your contact center holds the human side, and nothing joins the two. Ask to see one full transcript, end to end, before you sign anything.
Our own AI resolution rate benchmark study covers 195 rated deployments across 38 vendors, and the median AI handling rate is 70%.
It is an aggregate, and it is directional rather than apples-to-apples. Teams who report a rate are self-selecting, so read it as where the field sits.
How can I use each agent, customer-facing, copilot, or voice?
TL;DR: Both run a customer-facing agent and an agent-facing copilot. Sierra adds outbound voice and can navigate other companies' phone menus. Fin's voice is still managed availability with a sales-quoted price.
Direct replies
Both answer the customer directly and pull in a human when they need to.
Fin answers inside the Intercom inbox, and standalone inside Zendesk, Salesforce, Freshdesk and HubSpot (custom helpdesks too).
Its written channel list added Telegram in June 2026, alongside Slack and Discord. Fin's updates page says: "Fin resolves customer questions directly in Telegram."
Sierra deploys one agent across, in its own words, "chat, SMS, WhatsApp, email, voice, and ChatGPT". Its channels page adds Apple Business Chat and mobile app chat.
A Sierra conversation cannot switch channel partway through. Raise that in the first call, before anyone promises omnichannel.
Copilot replies
Both also run a mode where the AI drafts for your agents and never speaks to the customer (Fin calls it Copilot, Sierra calls it Live Assist).
Fin's Copilot works in the Intercom, Zendesk and Salesforce inboxes. Fin's help center says it "can pull relevant information from your public articles, internal articles, historical tickets/cases, snippets, webpages, and PDFs". It "even syncs content with Notion, Guru, Confluence, Zendesk and Salesforce".
Copilot is a separate line on the invoice at $29 per agent per month billed annually, or $35 billed monthly, on top of the outcomes you are already paying for. Every plan includes 10 free Copilot conversations a month (enough to demo it, nowhere near enough to test it). Price a real trial at full seat cost.
Sierra's equivalent is Live Assist. It gives a human agent real-time guidance and one-click actions, and it is bundled into the platform with no per-seat charge.
Voice
Voice is Sierra's strongest suit (and it is not close).
Sierra runs inbound and outbound calls. In August 2026 it shipped agents that call other companies (outbound, into someone else's phone menu).
Its engineering post opens with the reason: "AI agents increasingly need to call other companies to get their work done." The agents "understand when to call, how to get through a multi-level menu, when to stay silent, and how to recognize when they've reached a person".
Sierra measured it too. With the feature on, "the overall pass rate increases by 49%, from 57% to 85%". Ask every voice vendor on your list for that same number.
One unnamed customer, a revenue cycle management company, runs an agent that "calls payers to get claim status, with a 70% overall success rate and 94% for specific payers". I have not seen anything else on the market doing that today.
Fin Voice shipped its second generation in June 2026 on Apex Flash. Fin's updates page claims "a 24.5% higher resolution rate" and a 0.43 second faster response (measured by Fin, against its own first generation).
It also added simulated calls for testing, so you can "go live with confidence, without making a single real call". Fin Voice pricing is still quoted by sales (the one Fin price that is not published), so plan on a conversation to get it.
Which is easier to set up: Intercom Fin or Sierra AI?
TL;DR: Fin is self-serve. It runs a 14-day trial with no card, and you can be live the same day. Sierra is sales-led, with a 90-day onboarding, and published go-lives run from four weeks to several months.
Fin's trial terms are generous, and they are published: "Free trials require no credit card to sign up. During the 14-day trial, you'll have unlimited access to Fin outcomes, with no limits on usage. There are no seat minimums or maximums."
Training it is quick too. Fin's content article says uploaded files are "scraped and made available for Fin to use within minutes", and a synced website is refreshed once a week.
Getting good answers takes tuning - budget two weeks before you judge the resolution rate. One Capterra reviewer put Fin at 28% out of the box (the field median is 70%).
A support lead on r/CustomerSuccess had three years in Intercom and roughly 300k monthly users. They fed Fin 100,000+ past conversations and hundreds of documents, and still ended up starting over: "Final decision did land on deleting past 3 years of Docs (inside Intercom) and will start over from scratch because it totally got out of the control.."
Sierra has no trial, no free plan and no self-serve signup. There is a way to sign in and no way to sign up, so the route in runs through sales and then a 90-day onboarding. Ghostwriter, which Sierra dates to March 2026, moves toward configuring an agent without Sierra in the room.
Published go-lives are faster than the onboarding number suggests. Vivid Seats went live in four weeks, Next in six, Singtel in under ten. Third parties put the range at one to six months.
My AskAI installs into the helpdesk you already run, Intercom included, and a typical team is live in minutes. The 30-day free trial unlocks every feature and needs no card.
How do Intercom Fin and Sierra AI differ in what they can be trained on?
TL;DR: Fin publishes its source list, its sync cadences and its limits. Sierra claims 40+ pre-built integrations and names none of them.
Source type | Intercom Fin | Sierra AI |
Help center articles | ✅ | ✅ |
Internal articles and snippets | ✅ | ✅ |
Uploaded documents (PDF, DOCX) | ✅ | ✅ |
Public website URLs | ✅ (10 sources, 3,000 URLs, Copilot only) | Not documented |
Zendesk, Salesforce, Freshdesk help centers | ✅ | Not documented |
Notion, Guru, Confluence, Box, Document360 | ✅ | Not documented |
Call transcripts and audio | ❌ | ✅ |
Photos of a whiteboard | ❌ | ✅ (via Ghostwriter) |
Live system data (CRM, OMS, warehouse) | ✅ (Data Connectors) | ✅ (Horizon) |
Published connector directory | ✅ | ❌ |
'Static' content
Fin's content article gives every source its own heading. The list: internal articles, snippets, website sync, Zendesk, Salesforce and Freshdesk help centers, Guru, Notion, Confluence, Box, Document360 and direct uploads.
Two limits come with the list, and both are published. Public URLs cap at 10 external sources and 3,000 URLs, and they feed Copilot only, so they cannot power an autonomous reply. Check that second limit against your own plan (it catches people out).
Zendesk help centers sync hourly, the fastest cadence Fin publishes. Notion, Guru and Confluence sync every 24 hours, so check that against how often your team edits them.
There is a lock-in wrinkle in there too. Content synced from Zendesk "will be shown in Fin as view-only and can't be edited", so every change has to be made in Zendesk.
That is the friendlier half of the trade: your knowledge stays in Zendesk, where it came from.
Sierra ingests FAQs, policies, SOPs, call transcripts, audio and photographs of a whiteboard (the whiteboard one is not a joke). Its Expert Answers feature writes new articles from conversations the agent already handled.
'Dynamic' content
Fin's Data Connectors read Shopify, Stripe, Salesforce and custom APIs mid-conversation. Sierra's equivalent is Horizon, which reads CRM, order management, subscription and warehouse systems. Test both with a real order lookup during the pilot.
Sierra's Agent Studio page says you can "leverage 40+ pre-built integrations to instantly connect your agent with third-party knowledge bases, systems of record, and contact centers". Sierra names none of them.
There is no connector directory, which surprises me for a platform sold on integrations. Sierra names no helpdesk vendor anywhere on its product, industry, customer or home pages, and there is no integrations page to check.
So get the source list in writing before you sign, and put it in the pilot scope.
My AskAI trains on your help center, your website, your uploaded documents, Notion, Confluence, Google Drive, SharePoint and your historic tickets. It installs inside Zendesk, Intercom, HubSpot, Freshdesk and Gorgias.
Which has better answer quality, Intercom Fin or Sierra AI?
TL;DR: Fin publishes one blended number across its whole base. Sierra publishes per-customer numbers and no average. The two claims are built differently and cannot be subtracted from each other.
Fin publishes one blended number for its whole base. Its page on Decagon puts it plainly: "Fin's 76% average resolution rate across 8,000+ customers reflects genuine positive resolutions."
A blended average across thousands of deployments tells you where Fin sits. It cannot tell you what your own queue will do.
Fin also backs its number with money, in two separate programs on the same page. If you are "not 100% satisfied in your first 90 days, we will give you up to $1M of your money back, no questions asked".
Separately, sign up for the Fin Guarantee Success Program, miss a 65% resolution rate, and Fin says it "will pay you $1M". That one is for customers over 250k monthly conversations in North America and Europe, so most teams reading this will never touch it.
Sierra publishes named customers with one number each and no blended average (five of them, on one page).
Funnel Leasing "handles 94% of inquiries on the first conversation". Ramp "has achieved a 90% case resolution rate through automation", and Airtable sits at 80%. Casper is "effortlessly scaling with a 74% resolution rate", and AOL "achieved a 64% case resolution rate".
Read those as five separate deployments rather than a base rate. Vendor-picked wins are normal, so ask for the median across the whole base.
Fin uses two different definitions, and this is the one place I do want you to read the small print. Its marketing definition of a resolution is a problem actually fixed.
Fin's billing definition is broader: "If a customer disengages from the conversation for 24 hours after Fin's last answer, it is considered an assumed resolution."
Sierra publishes no billing definition at all.
Against a field median of 70%, all of these numbers are respectable.
One operator view on the reality, from the same r/CustomerSuccess thread: "What I did notice is that Fin doesn't seem to learn from past conversations, hallucinates all the time and is never straightforward with answers which leads to Fin sending 10 pointless replies even for the conversations that are supposed to get directed to human support."
Is Intercom Fin or Sierra AI easier to improve?
TL;DR: Both ship real improvement tooling. Fin's CX Score, Topics and Custom AI Scorecards sit behind a $99 per month add-on. Sierra bundles Explorer, Experiments and Monitors into the platform, and several accounts say you need Sierra's team to change the agent.
Fin's main lever is Guidance: plain-language instructions that steer behavior. You get up to 100 active pieces per conversation, at 2,500 characters each.
The help center documents four types, plus per-guidance performance. You can see how often each one fired, and whether it resolved or routed. Open that report first every Monday.
Around that sit Procedures with a draft mode, Simulations, Previews, batch tests and controlled rollout (a proper release process, in a support tool).
In July 2026 Fin added performance data per Procedure, with "Outcome rate, Resolution rate, and CX Score over the last 30 days". You can also log a problem you spot in a QA review as an Issue.
Then the invoice arrives, my favorite part of any AI pricing page. CX Score, Topics, Trends, Monitors, AI Recommendations, Custom AI Scorecards and Operator all sit behind the Pro add-on, so price it in from day one.
Fin's help center is precise: "The Pro add-on costs $99 per month for up to 1,000 conversations". You also get "2,000 free Operator credits per month", then $0.01 per credit.
Sierra's tooling is included and strong (no add-on, no per-seat charge). Explorer digs through conversations, and Experiments runs A/B tests; one test Sierra published moved a control group from 31% to 44%.
Monitors, Voice Sims and Workspaces sit alongside them, with GitHub-style versioning, staging to production and instant rollback. That is the part that matters the moment your agent touches payments.
The counterweight is who does the work. Several accounts put Sierra's own team in the loop for changes a support lead would expect to ship alone, and Agent Studio 2.0 and Ghostwriter are its answer to that.
I would ask, in the pilot, exactly which changes your team can ship without a call.
Which has more features: Intercom Fin or Sierra AI?
TL;DR: Sierra covers more ground, especially voice, outbound and multi-agent orchestration. Fin's feature list runs further inside the inbox, and every item on it is documented before you buy.
Feature | Intercom Fin | Sierra AI |
Multi-step agentic workflows | ✅ (Procedures, with Python snippets) | ✅ (Agent SDK, multi-agent orchestration) |
Pause mid-workflow for an external system | ✅ (Wait for Webhook) | Not documented |
No-code automation across third-party apps | ✅ (Zapier) | ✅ (MCP Gateway) |
Image recognition | ✅ (Fin Vision) | ✅ (Visual Attachments) |
Memory of past conversations | ✅ (Fin Memory) | ✅ (Context Engine) |
Publish the agent into ChatGPT | ❌ | ✅ |
Outbound voice and IVR navigation | ❌ | ✅ |
Public API platform | Not documented | |
Multi-brand in one workspace | ✅ (up to 300 brands on Expert) | Not documented |
Fin's July 2026 shipping run is the clearest picture of where it is going. Zapier arrived, so Fin "can take action across thousands of apps, creating tickets, updating records, sending alerts, or booking appointments".
Wait for Webhook lets a Procedure pause "while an external system finishes work like identity checks, payments, or bank linking". Fin Memory means "returning customers pick up where they left off".
Sierra's run is broader and lands higher up the stack. Horizon landed in July, and Sierra calls it "the most significant expansion of Sierra since we launched in 2024".
Context Engine, MCP Gateway, Voice Personas and the Takeoff acquisition landed in the same window. Its Agent SDK brings CI/CD and multi-agent orchestration for teams with engineers to spend.
Fin publishes dated release notes and a 226-article English help center, and I can read both without an account. Sierra's documentation sits behind a login, and the terms there say the products are confidential and that you may use them "solely to evaluate" them.
How easy is it to customize Intercom Fin and Sierra AI?
TL;DR: Fin gives you natural-language controls you change yourself in the UI. Sierra gives you a developer SDK, and by several accounts a dependency on Sierra's team for the changes that matter.
Fin's customization is mostly Guidance, and the knobs are the ones support leads actually reach for. Five tone presets, answer-length controls, pronoun formality per language, and targeting by audience.
The conditions are the useful part. The help center shows guidance conditioned on a customer data attribute such as country, and on the channel (do not offer email to someone already emailing you).
It also conditions on intent, so a cancellation escalates to a human straight away. None of that needs a developer. Build the cancellation rule first.
Sierra's controls run through the Agent SDK, including a creativity-versus-determinism setting per workflow (a dial I have not seen anywhere else). It puts your changes on an engineering roadmap.
On G2, one mid-market reviewer in entertainment puts the downside in one line: "Does not allow for client customization as competitors."
The same reviewer's upside is speed and ease of implementation with their existing tech stack. Take both as one customer's view.
What about vendor lock-in?
TL;DR: Fin's lock-in is contractual and now corporate: it runs standalone on other helpdesks, and its parent has signed an agreement to be acquired. Sierra ties you in through architecture, with bespoke integrations, docs behind a login and no published exit path.
Standalone Fin runs on Zendesk, Salesforce, Freshdesk, HubSpot and custom helpdesks, with "unlimited teammates" and "no additional seat costs". Fin's pricing page also promises "no additional costs, such as integration fees, setup fees, or platform charges".
The contractual edges are real though. Billing is USD only: "Intercom is billed in United States Dollars (USD) only. This includes Fin outcomes, additional usage charges, add-ons, and more."
Annual plans have no mid-term refund. Renewal needs 30 days' notice, so put a reminder in your calendar the day you sign.
Then there is the corporate one, and it now comes up on nearly every Intercom call I take. On 15 June 2026 Salesforce announced a signed definitive agreement to acquire Fin.
Salesforce's press release says it "will acquire Fin for approximately $3.6 billion". The deal "is expected to close in the fourth quarter of Salesforce's fiscal year 2027, subject to the satisfaction of customary closing conditions, including the receipt of required regulatory clearances".
The deal is announced and still open (signed, and still waiting on regulators). Salesforce does not own Fin today. Put that in front of whoever signs a three-year contract this quarter.
Sierra's lock-in is architectural. Every system it touches is bespoke API work, with no marketplace app and no connector directory behind it. The documentation you would use to plan an exit sits behind a login, licensed to you "solely to evaluate" the product.
My AskAI installs into the helpdesks it supports, Intercom among them, and the trained agent moves with you if you change desk. Switching helpdesk does not mean implementing your AI agent a second time.
Do they have any other AI features?
TL;DR: Fin's extras are analytics and quality tooling, most of it inside the $99 Pro add-on. Sierra's proactive suite runs outbound campaigns and retention offers, with agents that open the conversation themselves.
Tagging
Fin classifies conversations automatically. Topics Explorer groups what customers contact you about, and Topic Trends shows how that moves week to week.
Custom AI Scorecards let you grade conversations against your own criteria. All three sit in the Pro add-on, which starts at $99 a month (that line item again).
Sierra's equivalent is Insights, worth putting side by side with Fin's in the pilot. Its Monitors watch for defined conditions in live conversations, such as customer frustration, and flag them for review. On a voice queue, I want exactly that.
Agent translation
Fin includes 10 free AI auto-translation conversations per plan per month. Anything past that is metered.
Sierra handles languages inside the agent itself, and it also switches language mid-conversation. If you run a multilingual queue, ask to see that switch happen on the demo.
Analytics and quality
Fin scores CX on 100% of conversations. That is the most useful thing in the Pro bundle, and I have yet to see a team regret turning it on. Operator, launched on 15 May 2026, is a separate product for customer operations, and sits outside the Pro bundle.
Sierra's move this summer was proactive. Horizon runs engagement that plays out "over days, weeks, or months", including retention campaigns with published A/B results.
The Plaid and SoftBank partnerships point at where it wants to be sold, and I read them as an enterprise signal more than a product one.
Fin closed most of that gap on 5 August 2026 with Proactive Procedures. In Fin's words: "Until now, a Procedure only ran once a customer reached out. Now a website click, or a signal from your own systems, can start it, with Fin opening the conversation already knowing why the customer is there."
What about security, is Intercom Fin more secure than Sierra AI?
TL;DR: Both are seriously certified. Sierra holds FedRAMP High and PCI DSS 4.0.1. Fin covers HIPAA, HDS and AIUC-1, and does not hold PCI DSS.
Send your reviewer to Intercom's trust center for Fin. On 18 August 2026 it lists SOC 2, ISO 27001:2022, ISO 27018, ISO 27701, ISO/IEC 42001:2023, GDPR, CCPA, HIPAA, HDS, AIUC-1, CSA STAR, CSA STAR for AI and EU AI Act alignment.
The SOC 2 Type 2 report is downloadable, and pen tests from 2024 and 2025 are published. The subprocessor list names AWS, OpenAI, Mailgun and SparkPost (OpenAI is the one your security team will ask about). PCI DSS is not on it, so raise that with Intercom if you take card details in chat.
Sierra's trust center lists ten: ISO/IEC 27001:2022, ISO/IEC 42001:2023, SOC 2 with a named Type II report, HIPAA, PCI DSS 4.0.1, GDPR, CCPA, CSA STAR at Level One, EU AI Act alignment and FedRAMP High. That FedRAMP High authorization came in June 2026, with Knox Systems.
It publishes 14 subprocessors with per-subprocessor data residency, and it tests at least annually.
Both hold ISO 42001, so that row is level in my scoring. If your reviewer needs FedRAMP High or PCI DSS 4.0.1, that requirement decides your evaluation, whatever the other ten rows say.
One caveat applies to both. In December 2025 a misconfigured guardrail let the agent on Gap's website answer questions well outside its scope (a configuration mistake, and a public one), and Sierra has since published its layered guardrail design. Guardrails are configuration, and configuration is yours, so test yours in week one.
Sierra publishes no security page of its own. The trust center is the only thing you can read (FedRAMP High included), and you get to it through a sales conversation.
Which costs more, Intercom Fin or Sierra AI?
TL;DR: Fin is $0.99 per outcome on a page anyone can read. Sierra publishes nothing, and the third-party estimates in our Sierra pricing explainer put year one between $200K and $350K.
The pricing model
Fin's model is one line: "All Intercom plans include access to Fin, and pricing is simple: $0.99 per outcome."
The taxonomy under it is where the money moves. Fin's outcomes article says: "Resolutions, Procedure handoffs, and disqualifications are $0.99 each. Qualifications are $9.99 each."
You are "not charged when a conversation is simply passed to your team without an outcome". A Qualification costs ten times a resolution, so check whether your Procedures generate them.
I like the two rules that make the bill forecastable. You are "only charged once per conversation, even if Fin resolves multiple questions". And if the customer asks for a human, or a Procedure fails, "it does not count as an outcome and you are not billed for it".
Seats are separate if you run Fin on the Intercom helpdesk. List price is $29 per seat per month on Essential, with Advanced at $85 and Expert at $132.
You may see $19 quoted (it is on a lot of comparison pages). That is a 35% new-customer offer on Essential, against a $29 list rate, so budget on $29. Billing is USD only.
Sierra publishes no price anywhere on its own site, and there is no pricing page to read.
G2's entry-level pricing cell for Sierra reads "No pricing available".
The homepage uses the word once, in a marketing sentence about outcome-based pricing (the concept, with no number attached). That is not a rate.
Two figures circulate for Sierra, and both fail at the source. The first is $0.99 per resolved outcome, which is Fin's rate card attached to the wrong vendor.
Sierra has never quoted that figure, and no page repeating it shows a source. It is Fin's number in the wrong column.
The second is roughly $1.50 per resolution, usually credited to a private-market research house (the same one that estimates Sierra's ARR). It is not on the public page as it stood on 17 August 2026, which today describes the model without a rate.
Where the number does appear, one site asserts it with no citation, another labels it "Reported", and a third contradicts it. Leave it out of your budget.
The overall cost
Fin's bill is arithmetic you can do before you sign, and I have done it on the back of a napkin more than once. The standalone floor is "a base plan costing $49 per month" that "includes 50 resolutions, with additional outcomes charged at $0.99 each".
Start from Fin's own worked example: 5 resolutions in a month costs $49, and 100 resolutions costs $99.50.
Run your own volume through it. Take 1,000 conversations a month at the 70% field median handling rate, and 700 of them end as resolutions.
The base plan covers the first 50, so 650 outcomes bill at $0.99, which is $643.50. Add the $49 base and the month costs $692.50, before seats and before the Pro add-on at $99. You can build that forecast in a spreadsheet this afternoon (five rows and one multiplication), so do it before the trial ends.
Move the handling rate and the bill moves with it. At 35% the same 1,000 conversations produce 350 resolutions, so you pay $49 plus 300 outcomes at $0.99, or $346.
On Sierra's side there is no rate, no floor, no calculator and no pricing page, so there is no arithmetic to run.
Our own Sierra pricing explainer collects the third-party estimates: a contract floor near $150K a year, setup at $50K to $200K, and year one between $200K and $350K. Our Intercom Fin pricing explainer does the same on the Fin side.
The community view is consistent on both halves.
On r/AI_Agents, someone evaluating the pair put it well: "Intercom is priced per AI resolution and while it's not ideal (bills fluctuate quite a bit depending on volume of inquiries), it's at least transparent. How much would Sierra cost? Online research shows me practically nothing..."
The objection to per-outcome pricing is not new either. Back in 2023, an r/SaaS poster asked: "Did I just pay $1 for intercom to supply a link to an internal document ?"
My AskAI charges per ticket, at roughly $0.10 for a chat ticket and $0.15 for an email ticket, so the bill stays flat as the AI gets better. Usage-based extras such as Tools and Tagging are metered separately, and the 30-day free trial unlocks every feature with no card.
Conclusion - should I choose Intercom Fin or Sierra AI?
TL;DR: Fin for most teams reading this, because you can price it, trial it and be live this month. Sierra when voice is the channel that matters, or your reviewer needs FedRAMP High.
For most teams, Fin is the answer. You can read the rate card, run a 14-day trial, and keep the helpdesk you already have.
Sierra is the better fit when voice is your primary channel, or when the agent has to act across a large estate of backend systems at enterprise volume.
Here are the eleven categories, scored the way I read them:
Intercom Fin | Sierra AI | ||
Modes | 8/10 | 8/10 | Tie |
Ease of setup | 9/10 | 4/10 | Fin win |
Training/Integrations | 8/10 | 6/10 | Fin win |
Answer Quality | 7/10 | 7/10 | Tie |
Improving | 8/10 | 8/10 | Tie |
Features | 7/10 | 9/10 | Sierra win |
Price | 8/10 | 3/10 | Fin win |
Customization | 8/10 | 6/10 | Fin win |
Lock-in | 7/10 | 5/10 | Fin win |
Other AI features | 8/10 | 8/10 | Tie |
Security | 8/10 | 9/10 | Sierra win |
Fin takes five of the eleven rows, Sierra takes two, and four are level.
Sierra's two wins are the ones that decide an enterprise deal. If voice and outbound are in scope, feature breadth moves to the top of your list.
Security decides it the moment a reviewer asks for FedRAMP High or PCI DSS 4.0.1. In my book that one row outweighs the other ten.
Choose Intercom Fin if:
- You want to be live this month without a procurement cycle.
- You can forecast a bill from a published rate.
- You are already on Intercom, or on Zendesk, Salesforce, Freshdesk or HubSpot where standalone Fin runs.
- You want to see the product, its documentation and its release notes before you buy it.
Choose Sierra AI if:
- Voice is your primary channel, including outbound and calling into other companies' phone systems.
- Your agent has to take actions across a large estate of backend systems.
- Your security review needs FedRAMP High or PCI DSS 4.0.1.
- You have the budget and the 90-day runway, and you would rather have a named enterprise reference in your industry than a published price.
My AskAI is an AI agent that installs into the helpdesk you already run, Intercom included. It runs on a flat per-ticket rate and a self-serve setup you finish the same day.
Our alternatives roundups for Intercom Fin and for Sierra AI cover who else is worth a demo. If the vendor across the table is Zendesk, our Zendesk AI versus Intercom Fin comparison is the closer match.
Good luck on your AI adventures!
FAQs
Do I need an enterprise AI agent like Sierra, or is Intercom Fin enough?
For most support teams, Fin is enough. The test is what the agent has to do. If it answers questions and takes a handful of actions inside your helpdesk, an enterprise platform is a lot of procurement for a job Fin already does at $0.99 an outcome.
Sierra earns its price when voice is the main channel, or the agent has to orchestrate work across many backend systems. If you sit between the two, our roundup for mid-market teams covers that middle ground.
My AskAI runs inside Intercom at roughly $0.10 per chat ticket, so you can add an AI agent without changing helpdesk or entering a sales process.
What can Intercom Fin and Sierra AI be trained on?
Fin publishes its list: help center articles, internal articles, snippets, uploaded documents, website sync, Zendesk, Salesforce and Freshdesk help centers, Guru, Notion, Confluence, Box and Document360. Public URLs cap at 10 sources and 3,000 URLs, and they feed Copilot only.
Sierra ingests FAQs, policies, SOPs, call transcripts, audio and photographs of a whiteboard. It reads live system data through Horizon.
It claims 40+ pre-built integrations and names none of them, and there is no connector directory anywhere on its site. Ask for the list in writing during the pilot.
How long does setup take, and do we need developers?
Fin needs no developer for the standard setup. The trial is 14 days with no card, and uploaded content is usable within minutes. A first agent can be answering the same day, though getting it good takes longer than getting it live.
Sierra sells through its own sales team, and onboarding runs 90 days. Agent Studio is the no-code path and the Agent SDK is the engineering one, and the published rollouts all put engineering time on the project.
Published go-lives run from four weeks (Vivid Seats) to under ten (Singtel). Third parties cite one to six months.
How do Intercom Fin and Sierra AI pricing models differ, and what might we actually pay?
Fin publishes a rate and Sierra negotiates a contract, so the two are not quotable side by side. Here is what each side actually discloses:
Intercom Fin | Sierra AI | |
Pricing model | Per outcome, on top of helpdesk seats | Outcome-based, custom contract |
Headline rate | $0.99 per outcome ($9.99 per Qualification) | No published rate |
What year one looks like | $49 base plan with 50 resolutions included, then $0.99 each | Third-party estimates in our Sierra pricing explainer: $200K to $350K |
Free trial | 14 days, no card, unlimited outcomes | None |
Worked example on the Fin side: 1,000 conversations a month at the 70% field median resolve 700. That is $49 for the base plan plus 650 outcomes at $0.99, or $692.50, before seats and before the $99 Pro add-on. I cannot run the same arithmetic for Sierra, because no rate, floor or calculator is published.
Can they handle multilingual support and agent translations?
Fin supports 45 languages, with its Language Detector model documented at that number. Fin Voice covers 28, and every plan includes 10 free AI auto-translation conversations a month.
Sierra's product page says it works "across voice, chat, email, and WhatsApp in 59 languages", and it can switch language mid-conversation. Sierra has the wider reach. If you only occasionally need a second language, Fin's cheaper starting point wins.
How do Intercom Fin and Sierra AI compare on security and compliance?
Both clear the usual enterprise bar, and they split on exactly two certifications. Read the payments and government rows first:
Intercom Fin | Sierra AI | |
SOC 2 | Type 2 report, downloadable | Type II report named |
ISO | 27001:2022, 27018, 27701, 42001:2023 | 27001:2022, 42001:2023 |
Healthcare | HIPAA and HDS | HIPAA |
Payments | Not held | PCI DSS 4.0.1 |
Government | Not held | FedRAMP High (June 2026) |
AI-specific | AIUC-1, CSA STAR for AI, EU AI Act | CSA STAR Level One, EU AI Act |
Subprocessors | AWS, OpenAI, Mailgun, SparkPost | 14, with per-subprocessor residency |
Both list ISO 42001 on their trust centers. The decision usually comes down to two rows: if you need PCI DSS 4.0.1 or FedRAMP High, only one of these vendors can be shortlisted.
What resolution rate should I expect from AI customer support?
Plan around 70%. Our own benchmark study covers 195 rated deployments across 38 vendors. The median AI handling rate is 70%, with a 25th percentile of 56% and a 75th percentile of 80%.
Read that as directional. Teams who publish a rate are self-selecting, so the spread reflects who volunteered a number.
The metric label moves the number more than capability does, and our benchmark study splits it out. Deployments measured as "resolution" have a median of 72.5%. Deployments measured as "automation" have a median of 61%, for much the same work.
Is Fin owned by Intercom?
It is the other way around now (fun fact for your next demo call). The parent company renamed itself Fin, and Intercom remains the name of the helpdesk product. Both brands are live, side by side in the same navigation.
Salesforce announced a signed definitive agreement to acquire Fin on 15 June 2026, for approximately $3.6 billion. That deal has not closed.
Salesforce expects it to complete in the fourth quarter of its fiscal 2027, subject to regulatory clearances. Salesforce does not own Fin today.
