momo is in early access: help shape the open-source AI support desk. Get started
momo

Front vs Intercom: Choose Your Support Workflow

Front vs Intercom comes down to the support workflow: Front suits teams that collaborate on human-written email replies, while Intercom suits teams centered on messaging and AI-led resolution. Compare how each handles the queue, charges for usage and fits your support work.

Front, Intercom and momo at a glance

Compare the working model before weighing plans. Vendor prices and packaging can change, so use the figures as a starting point and check current terms before committing.

momoFront and Intercom
Typical support motionAnswers visitors from your own business content; the team takes conversations that need a person.Front centers on people collaborating in a shared mailbox. Intercom centers on conversations, messaging and its Fin AI agent.
Inbox and collaborationThe included helpdesk inbox has contacts, labels and team members. Teammates can take over a conversation live.Both offer a shared inbox. Front has internal comments and shared drafts; Intercom has structured ticket workflows and side conversations.
AI approachRetrieves passages from your knowledge, drafts and checks an answer against them, then cites sources when confident.Front’s AI offering includes agent assistance and quality tools; Intercom includes access to Fin, with outcome-based charges.
When AI is unsureTells the visitor it is not sure and opens a ticket for the team.Fin is billed on successful outcomes; the meaning and accounting of an outcome matter to the total cost.
ChannelsWebsite widget, email and Slack are available today. Shopify is in preview; WhatsApp, Instagram and Messenger are coming soon.Front Starter supports one channel type; higher tiers support multiple. Intercom combines Messenger with email and other conversation channels.
Pricing structureFlat EUR plan fee with included AI conversations; no per-resolution fee or credit packs.Front charges per seat, with separate AI add-on charges reported for some tools. Intercom combines seat pricing with usage charges, including Fin outcomes.
Knowledge inputsUse a website crawl, PDFs, Word files, plain text and Q&A pairs.Intercom has a knowledge hub that can feed Fin and its help center. Front offers a public knowledge base.

Front and Intercom prices and packaging vary across reviewed snapshots. Treat vendor figures as indicative, not a live quote.

Decision criteria

Pricing model: seats, AI usage and the bill at month-end

Front and Intercom charge in different ways, so comparing one headline price can miss the cost that matters to your team. Front is priced per seat. Reviewed pricing snapshots put annual Starter at $25 per seat per month, Professional at $65 and Enterprise at $105; another snapshot lists different monthly figures for some tiers. Front’s AI tools may add charges: Copilot, Smart QA and Smart CSAT are listed as per-seat add-ons in reviewed material, while Autopilot is charged separately per conversation. Current plan and add-on pricing can change, so compare the terms that apply to your team.

Intercom combines paid seats with usage costs. A reviewed price snapshot lists monthly seat prices of $39, $99 and $139, and annual equivalents of $29, $85 and $132 per seat per month. Fin is available across plans, but access is not unlimited usage: successful outcomes can be charged separately. Messaging and other channel usage can also add costs. Ask how an outcome is counted for your use case and model the volume that could be billed.

For a small team, count the people who need seats, then estimate AI outcomes and channel usage separately. Include quality or assistant add-ons in a Front estimate if agents will use them. With Intercom, do not treat a Fin seat or plan as covering unlimited resolutions. momo uses a different structure: a flat fee in EUR with a monthly allowance of AI conversations, and no per-resolution fee or credit packs. Front wins for teams budgeting around human agent seats; Intercom can suit teams investing in AI outcomes and messaging, if the usage model fits their forecast.

Inbox workflow: shared email or structured cases

For teams asking what is the difference between Front and Intercom, the key distinction is how each organizes support work: Front centers collaboration on a shared email thread, while Intercom combines conversations with more structured ticket workflows.

Front puts collaboration directly on an email thread. Teammates can leave internal comments, work in shared drafts and get input from a guest collaborator. That can help when a reply needs context or approval before it goes out. The human-written message remains the center of the workflow.

Intercom uses a conversation-first inbox but also has more structured ticket workflows. Its ticket types include customer tickets, internal back-office work and tracker tickets for issues affecting many conversations. Side conversations, a customer-facing ticket portal and SLA targets support teams that need cases to move through defined stages. Both products provide a shared inbox, assignments, tags and reporting, so the choice is less about whether an inbox exists and more about how much structure your cases require.

momo’s inbox is included on every plan, including Free. A teammate can take over any conversation live, and handoff collects the details your business chooses before a person receives it. Contacts, labels and team members support basic inbox organization. It is a human handoff workflow paired with answers from your business knowledge, rather than a claim to match every ticket-management feature in either rival.

Front wins for human-led email collaboration; Intercom wins for teams that need structured ticket workflows alongside conversations.

Channels and customer context

Intercom is a messaging-led option, but it also supports email; Front can suit teams that want a collaborative inbox across supported channel types.

Front Starter is limited to one channel type: email, Front Chat or SMS. Professional and Enterprise support multiple channel types. If you already know you need email and chat, for example, account for the higher tier instead of planning around a single-channel start. WhatsApp is listed as an add-on on Professional and Enterprise, with Meta-billed costs plus an administration fee.

Intercom brings Messenger and email into its conversation environment and supports other channels, with usage charges possible for some messaging. Its customer context can include site and product activity alongside a conversation, which is useful when support depends on what a customer has been doing in a product. The channel choice affects more than where a message arrives: it can change how staff see context and how much usage costs.

momo’s live channels today are the website widget, email and Slack. Shopify is in preview, while WhatsApp, Instagram and Messenger are marked coming soon. Do not choose it on the assumption that it can look up Shopify orders or take store actions; that capability is not part of the product facts. Intercom wins when in-app messaging is central; Front fits teams consolidating supported channels around a collaborative inbox, provided the chosen tier covers them.

AI answers, escalation and performance

Teams comparing AI customer service tools should distinguish agent assistance from autonomous resolution: Front supports agents, while Intercom’s Fin is built to resolve conversations.

Front’s AI emphasis includes tools that help agents draft replies and review conversation quality, alongside Autopilot for automation. These functions have separate packaging and charges in reviewed pricing information. That is a fit when a person remains responsible for most replies and needs assistance in the inbox.

Intercom’s Fin is built for AI-led resolution. It can answer across channels, but charges can apply per successful outcome, and usage beyond seats can affect the bill. Its approach is more suited to teams that want an AI agent to resolve repetitive conversations before a human gets involved. Make sure the definition of a successful outcome matches the cases you expect to automate.

momo retrieves relevant passages from your own knowledge, drafts an answer and checks it against those sources. When confident, it sends the answer with citations; below its confidence line, it tells the visitor it is not sure and opens a ticket. After a teammate answers, that response can be saved as approved knowledge in the Teach step. This is a specific handoff and learning loop, not a promise that AI will always answer correctly or a claim that its reporting matches the competitors’ AI metrics.

Intercom wins for teams prioritizing autonomous AI resolution; Front wins when agent assistance and human quality checks are the main AI job.

momo plans in euros

Each plan has a flat fee and an included number of AI conversations; the helpdesk inbox is included on every plan.

Included: Helpdesk inbox included, including on Free. · No per-resolution fees or credit packs. · Paid plans allow up to 25 AI replies in a conversation; Free allows up to 10.

Free

Try momo with real visitors.

€0 forever

  • 30 AI conversations, one-time
  • 1 agent, 1 team member
  • Website widget
  • Helpdesk inbox
  • Basic analytics
  • 2 MB of knowledge, 10 sources

Starter

One agent, steady traffic.

€29per month

  • 500 AI conversations / month
  • 1 agent, 2 team members
  • Website widget and email
  • Helpdesk inbox and Help Center
  • Basic analytics
  • No momo badge
  • 20 MB of knowledge, 50 sources

Growth

More agents, more channels.

€129per month

  • 2,000 AI conversations / month
  • 3 agents, 5 team members
  • Slack, Shopify, WhatsApp, Instagram, Messenger
  • API, Zapier and webhooks
  • Advanced analytics
  • 100 MB of knowledge, 200 sources

Scale

High volume, every channel.

€399per month

  • 6,000 AI conversations / month
  • 10 agents, 10 team members
  • Every channel
  • API, Zapier and webhooks
  • Advanced analytics
  • 500 MB of knowledge, 1,000 sources

Need more resources or custom solutions? Contact us for Enterprise plans

Final choice

Choose the workflow that matches your support queue

Choose Front when the recurring work is a human replying to customer email and teammates need to discuss or edit a reply before it goes out. Shared comments, drafts and guest collaboration put the work around the message itself. Before settling on a plan, list the channel types you need: Starter supports one, while Professional and Enterprise support multiple. Include any AI add-ons your agents will use in the cost estimate.

Choose Intercom when customer conversations arrive through messaging and you want an AI agent to resolve repetitive contacts, alongside a human inbox and more structured ticketing. Intercom is also a fit when customer activity in a product is useful context for support. Price seats and usage together. Fin access does not mean unlimited Fin outcomes, and messaging can also add usage charges. That distinction matters if your goal is to reduce repeat contacts without creating a surprise bill.

Choose momo as a separate option if your first requirement is answering from your own support content and handing uncertain questions to a human inbox. It retrieves and checks passages from your knowledge, cites confident answers, and opens a ticket when it is not sure. Your team can take over live, collect chosen handoff details and save a good human answer as approved knowledge. It is not a like-for-like claim for Front’s collaboration features or Intercom’s messaging and ticketing depth.

Knowledge can start with a website crawl, PDFs, Word files, plain text or Q&A pairs. The hosted version runs at askmomo.eu, and the same code can be self-hosted under the PolyForm Internal Use License. The code is source available for a company’s own use; it cannot be resold, hosted for others or redistributed. Plans are in euros, with a Free option and paid tiers that include set monthly conversation allowances.

For a broader look at small-team helpdesk choices, see this guide to help desk software for startups. If your decision is primarily about the bill, use the Intercom pricing calculator as a companion to checking current vendor terms. Front wins for collaborative, human-written email; Intercom wins for messaging-led AI and structured conversations; momo fits teams seeking content-grounded answers with a human fallback.

Front vs Intercom questions

The answers below compare the plans and usage models described in this guide.

Is Front or Intercom better for a team that mainly handles email?

Front is a natural fit when teammates collaborate on human-written email replies using comments and shared drafts. Intercom also supports email in its conversation inbox, so it is not limited to chat; choose it when messaging and AI resolution are important parts of the same workflow.

How much does Front cost per seat, and what do its AI add-ons cost?

One reviewed annual pricing snapshot lists Front Starter at $25 per seat per month, Professional at $65 and Enterprise at $105. Reviewed material also lists Copilot at $20 per seat per month, Smart QA at $20 and Smart CSAT at $10, with Autopilot priced per conversation; another snapshot differs on some plan prices. These figures are indicative; actual plan and add-on pricing may vary.

How much does Intercom cost per seat, and how is Fin billed?

A reviewed price snapshot lists Intercom monthly seat prices of $39, $99 and $139, with annual equivalents of $29, $85 and $132 per seat per month. Fin is available across plans, but successful outcomes can incur separate usage charges, and channel usage may add costs too. Confirm the current tiers and how outcomes are counted for your support flow.

Does Front Starter support more than one channel type?

No. Front Starter supports one channel type, such as email, Front Chat or SMS; Professional and Enterprise support multiple channel types. If you expect to add another channel, include the tier change in your comparison.

Can Intercom’s Fin run without a human agent, and what counts as a billable outcome?

Fin is designed to resolve conversations, and usage charges can apply to successful outcomes. Reviewed descriptions include customer confirmation, the customer stopping their questions or completion of a defined procedure, but exact accounting can vary by terms. Ask Intercom to explain how the billable event works in your case before forecasting costs.

Try a docs-grounded front line

Start free and see how answers from your own content, citations and human handoff fit your support queue. For a wider view of AI chatbots for small businesses, compare the workflows that suit your team.