Front pricing in 2026: plans, AI add-ons, and what you'll actually pay

Alicia Kirana Utomo
Written by

Alicia Kirana Utomo

Katelin Teen
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Katelin Teen

Last edited June 17, 2026

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Front pricing breakdown hero illustration

Front pricing at a glance

Front is a collaborative shared inbox and helpdesk platform built for what it calls "complex customer operations", the kind of support that spans billing, ops, and product rather than a single FAQ queue. Its pricing reflects that positioning: three published, per-seat plans, all advertised with "Save 24%" on annual billing.

PlanPrice (per seat/mo, annual)Seat rangeBuilt for
Starter$25up to 10 seatsEssential single-channel support
Professional$65up to 50 seatsOmnichannel support with automation and reporting
Enterprise (most popular)$105not statedAdvanced AI tools and custom controls
Front's live pricing page, showing the three published plans on annual billing, as taken from Front

Here's what that buys at each tier, with one detail that catches people out: Starter is single channel type only, meaning email, Front Chat, or SMS, not a mix.

Front's collaborative inbox, where a customer billing question gets looped to the finance team with an internal comment, as taken from Front
Front's collaborative inbox, where a customer billing question gets looped to the finance team with an internal comment, as taken from Front
  • Starter ($25/seat): shared inbox and ticketing, a single channel type, AI Topics, up to 10 automation rules, basic analytics, a basic knowledge base, and 1 workspace. AI add-ons are available but not included.
  • Professional ($65/seat): everything in Starter, plus full omnichannel (email, SMS, social, WhatsApp), macros and up to 20 automation rules, advanced analytics, up to 5 workspaces, SSO and SCIM, and a customizable knowledge base.
  • Enterprise ($105/seat): everything in Professional, plus unlimited rules and macros, unlimited workspaces, custom roles, a multi-language knowledge base, and, crucially, Copilot, Smart QA, and Smart CSAT included rather than billed separately.

A few mechanics worth knowing before you sign anything. The free trial runs 14 days with all Professional features and no credit card. Plans are assigned at the organization level, so you can't mix tiers across teams. And there's an onboarding package required on contracts over $25k, with wire/ACH payment available above $12k in total contract value. None of that is unusual for the segment, but it's the kind of thing that doesn't show up on the pricing grid.

The part of Front pricing that actually moves the bill: AI add-ons

This is where a Front quote and a Front invoice start to diverge. Front includes three AI helpers on every plan, Compose, Translate, and Summarize, but each is capped at 200 actions per teammate per day. The AI that does the heavy lifting, the part you're probably buying Front for in 2026, is sold separately.

What one Front seat really costs once the AI add-ons stack on top of the base Professional seat price
What one Front seat really costs once the AI add-ons stack on top of the base Professional seat price

Here's the full add-on menu, straight from the pricing page:

AI add-onPriceNotes
Autopilot (omnichannel AI agent)from $0.05 / conversationAdd-on on every plan, including Enterprise
Copilot (real-time AI assistant)$20 / seat / moIncluded in Enterprise
Smart QA (AI scorecards)$20 / seat / moIncluded in Enterprise
Smart CSAT (inferred satisfaction, no surveys)$10 / seat / moIncluded in Enterprise
Smart QA + Smart CSAT bundle$25 / seat / moBundled insights

So a Professional seat that "starts at $65" can quickly become $65 + $20 (Copilot) + $25 (QA + CSAT bundle) = $110 per seat per month before Autopilot's per-conversation charges even enter the picture. At that point you're paying more per seat than Enterprise's $105 list price, but without the unlimited rules and custom controls Enterprise gives you. That inversion is the single most important thing to model before you commit.

Front's own AI is capable, to be fair. Autopilot is a real autonomous agent that can route by customer type, and its Playbooks let you define multi-step resolutions (extract a booking number, run a cancellation policy, issue a refund in Stripe).

Front Autopilot Playbooks, defining a multi-step resolution flow tied to a specific inbox, as taken from Front
Front Autopilot Playbooks, defining a multi-step resolution flow tied to a specific inbox, as taken from Front

And Copilot's Admin assistant answers operational questions from your help center with cited sources, which is a nice touch for larger teams.

Front's Admin Copilot answering a routing question with cited sources, as taken from Front
Front's Admin Copilot answering a routing question with cited sources, as taken from Front

The capability isn't the issue. The pricing structure is, because the features you most want are the ones that aren't in the plan you're quoted. If you want to go deeper on the agent itself, I've written a full guide to Front Autopilot and what changed with Front's AI Answers. The customer-facing side has its own setup too, covered in my walkthrough of the Front chatbot. Multilingual teams should also factor in how Front AI Translate is metered.

Don't forget the smaller line items

Two more charges hide below the AI section. Native WhatsApp on Professional and Enterprise carries the Meta-billed message costs plus a 20% admin fee on top. And if you hit Front's API limits, lifting them costs $200 per 100 additional requests per minute, per month, which matters if you're syncing Front with other systems at volume.

How Front bills you: per seat, not per outcome

Step back from the line items and the model itself is the thing to understand. Front charges per seat, with AI bolted on per seat or per conversation. That's fine when your headcount maps cleanly to your workload. It gets expensive when it doesn't, like when you're adding agents for coverage but each handles a shrinking share of tickets, or when AI is meant to reduce the human work you're paying per-seat for.

Two ways to be billed for support: Front's per-seat model plus add-ons, versus a usage-based model that charges per resolved conversation
Two ways to be billed for support: Front's per-seat model plus add-ons, versus a usage-based model that charges per resolved conversation

This is the friction I hear constantly from teams evaluating per-seat and per-interaction support tools. One operations lead at a payments fintech doing 7-8K escalated tickets a month told me per-interaction pricing was simply a non-starter versus a session-based model. A multi-company e-commerce operator scaling toward 150K tickets a month found the per-interaction-versus-per-ticket distinction so confusing mid-call that he projected wildly different totals depending on which unit you used. The billable unit isn't a detail. It's the whole game.

There's a sharper version of this I've watched play out in my own customer base. A colleague, Amogh, broke down a churned account this way: "$799/mo divided by ~40 interactions a month is ~$20 per AI reply. Without showing the deflection math, that price is indefensible at renewal." I lost that account not on product, but because nobody framed the cost per resolution. The lesson stuck with me: a support tool's real price is what one solved ticket costs, and a per-seat model hides that number rather than showing it.

What a real team actually pays

Sticker prices are abstract, so let's run two realistic scenarios.

A 5-person team on Professional, wanting AI assist. Five seats at $65 is $325/mo. Add Copilot at $20/seat ($100) and the QA + CSAT bundle at $25/seat ($125), and you're at $550/mo, before any Autopilot conversations. Annualized, that's $6,600.

A 12-person team on Enterprise, leaning on Autopilot. Twelve seats at $105 is $1,260/mo with Copilot, QA, and CSAT included. But Autopilot is still an add-on. If Autopilot handles, say, 3,000 conversations a month at $0.05 each, that's another $150, bringing you to ~$1,410/mo, or roughly $16,900 a year. Push Autopilot volume higher and the per-conversation line keeps climbing.

Neither of those is outrageous for the value Front delivers to the right team. But notice how far each lands from the "$65" and "$105" you started with. That gap is the entire point of doing this exercise before you buy.

For context on how that stacks up against the wider market, my roundups of the best AI helpdesk software for 2026 and the cheapest AI apps for helpdesks are a useful sanity check, and the AI agent vs human agent cost breakdown reframes the whole "is it worth it" question around cost per resolution.

What users actually say about Front's pricing

Front scores well where it counts on the big review sites: 4.7/5 on G2 from around 2,466 reviews and 4.5/5 on Capterra from roughly 286. The praise is consistent and earned, mostly around collaboration and ease of use.

"I like being able to organize our emails and not having to CC a bunch of coworkers if they need to be involved or forward them."

A G2 reviewer, on the shared-inbox value that is Front's genuine strength.

But the pricing sentiment is just as consistent, and it's the dominant criticism. On G2's pros and cons, one reviewer put it bluntly:

"Extremely overpriced, and the pricing is very complicated. They ask you to pay separately for features."

That "pay separately" theme runs through the negative reviews, and it maps exactly onto the add-on structure above. On Trustpilot, where Front skews noticeably more negative than on the B2B-buyer sites, the complaints get sharper, tying price to the recent UI redesign and AI features some teams didn't ask for. Worth knowing that the platform split is real: G2 and Capterra sit at 4.5-4.7, while Trustpilot leans the other way, so don't average them into a single number.

The community framing is telling too. In a r/CustomerSuccess thread, Front gets described as a "supercharged shared inbox" rather than a ground-up ticketing system, and on r/smallbusiness more than one team reports leaving for cheaper options:

"I chose Missive App over front. It's cheaper and in my opinion much better."

If you're weighing the shared-inbox-versus-ticketing question yourself, my piece on shared inbox vs ticketing system and the list of best shared inbox software for teams go deeper.

Front buyers rarely shop in one lane, either. Teams that want structured ticketing often weigh it against Zendesk, while leaner shops size it up through my Dixa review. Ecommerce teams usually start from the best Gorgias alternatives instead.

Which Front plan fits

If Front is the right shape for your team, here's the quick decision logic.

A decision tree for choosing a Front plan based on channels, team size, and which AI features you need included
A decision tree for choosing a Front plan based on channels, team size, and which AI features you need included
  • Starter ($25) suits a small team running a single channel who just needs a tidy shared inbox. Watch the 10-seat ceiling and the single-channel limit.
  • Professional ($65) is the realistic default for most growing support teams, omnichannel, more automation, SSO. Just price the AI add-ons in.
  • Enterprise ($105) earns its keep specifically if you'll use Copilot, Smart QA, and Smart CSAT, since bundling them in is what closes the gap with stacking add-ons on Professional. If you won't use all three, the math for Enterprise weakens fast.

And a fourth option people forget: stay on a lower Front plan and add a dedicated AI customer service layer on top, rather than buying up the tiers for AI you'll be billed for per seat.

The bigger question: are you paying for seats or for resolutions?

Here's where I'll plant a flag. For a collaborative inbox, Front is a strong, well-liked product, and I'd happily recommend it to a team that mostly needs people working the same conversations without stepping on each other. Front is built for that, and it shows.

For AI automation, the per-seat-plus-add-ons model fights against the thing you're trying to do. You're adding AI to handle more tickets without adding people, but the pricing is still anchored to people (seats) and to raw activity (per conversation), not to the outcome you care about, a resolved ticket. The teams I've seen get burned aren't the ones who overpaid on the sticker. They're the ones who never modeled the cost per resolution and got surprised at renewal.

That's the gap I built eesel AI to close, and since it integrates directly with Front, you don't have to choose between the two.

Try eesel for AI on top of Front

If you like Front's inbox but not the prospect of buying up to Enterprise (or stacking add-ons) just to get real AI, eesel AI is the layer that sits inside it. It installs from the Front App Store, joins as a real AI Agent in your shared inbox, drafts and sends on-brand replies, routes escalations, and updates tags, exactly like a human agent would, with setup that takes under 30 minutes.

The eesel AI helpdesk dashboard, where you connect Front, simulate on past tickets, and watch resolution rates
The eesel AI helpdesk dashboard, where you connect Front, simulate on past tickets, and watch resolution rates

Two things make the pricing legible in a way the add-on stack doesn't. First, it's usage-based at $0.40 per resolved Front conversation, with no per-seat fee and no platform fee, so the number you budget is the number per outcome. Second, before you pay for anything, you can run a simulation on your real past Front conversations to see the resolution rate and exact cost up front, the deflection math that, frankly, most vendors leave you to guess at. New accounts start with $50 of free usage, and you can route just a slice of your tickets to start. If you're comparing options more broadly, my Front review and the Front alternatives roundup lay out the full field.

Frequently Asked Questions

How much does Front cost per month?
Front publishes three plans, billed per seat per month on annual billing: Starter at $25/seat, Professional at $65/seat, and Enterprise at $105/seat. Most of Front's AI sits on top as paid add-ons, so the sticker price is rarely the full bill. See my full Front review for the wider picture.
Is Front AI included in the Front pricing plans?
Only partly. Compose, Translate, and Summarize are included (capped at 200 actions per teammate per day each). Copilot, Smart QA, and Smart CSAT are paid add-ons on Starter and Professional, and only bundled into Enterprise. Autopilot is always an add-on, billed per conversation. I cover the details in my guide to Front AI.
What does Front Autopilot cost?
Front Autopilot, the omnichannel AI agent, starts at $0.05 per conversation and is an add-on on every plan, including Enterprise. That's a usage-based line item on top of your per-seat fee. Here's my deep dive on Front Autopilot.
Why is Front considered expensive?
The recurring complaint in reviews isn't the headline seat price, it's the stacking: per-seat fees plus separately-priced AI add-ons (Copilot, Smart QA, Smart CSAT, Autopilot) plus a 20% admin fee on WhatsApp. Teams comparing Front pricing against cheaper AI helpdesk options often find the total climbs faster than the value.
Is there a free trial or free plan for Front?
Front offers a 14-day free trial with all Professional-plan features and no credit card required, but there's no permanent free plan. If you want to test AI on real tickets before paying, a tool with a free usage allowance and a simulation mode lets you see results on your own history first.
How does Front pricing compare to Hiver and other alternatives?
Front sits at the higher end of the shared-inbox market. Lighter alternatives like Hiver often come in cheaper per seat, which is why so many buyers run a side-by-side. See my Front vs Hiver comparison and the wider list of Front alternatives.
Can I add AI to Front without upgrading my plan?
Yes. You can layer a third-party AI agent on top of any Front plan instead of buying Front's add-ons or jumping to Enterprise. eesel AI installs from the Front App Store and bills per resolved conversation, so you keep your current Front plan and pay for outcomes, not seats.

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Alicia Kirana Utomo

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Alicia Kirana Utomo

Kira is a writer at eesel AI with a Computer Science background and over a year of hands-on experience evaluating AI-powered customer service tools. She focuses on breaking down how helpdesk platforms and AI agents actually work so that support teams can make better buying decisions.

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