Front and Intercom are rarely the last two on a shortlist, and when they are, it usually means the team has not yet decided what kind of inbound it has. Front is a customer operations platform: it exists to get every conversation, on every channel, to the right person with the right context, on rules the team writes. Intercom is a support platform rebuilt around an AI agent: it exists to resolve as much inbound as possible without a person, and to equip the people who handle the rest. Those are different goals, and this article is mostly about telling which one is yours.

For transparency, we build Sektra, which competes with Front for some teams and with Intercom for very few. Prices below are from the vendors' pricing pages in September 2026.

What is the difference between Front and Intercom?

Front replaces the mail client with a shared workspace where email, SMS, social and WhatsApp conversations are assigned, routed, escalated and reported on. Its center of gravity is workflow: rules, SLAs and analytics across teams. Intercom's center of gravity is the messenger inside your product and the AI agent behind it, with a help desk for the conversations the agent hands off. Front assumes a human handles every conversation and optimizes who and how. Intercom assumes an AI handles the first pass and optimizes how much it can close.

Channels

Front's Starter plan covers one channel type; Professional and Enterprise are omnichannel, with email, SMS, social and WhatsApp in one inbox and routing across all of them. Intercom includes live chat, support email and in-app messaging on every plan, with SMS, WhatsApp and phone billed as pay-as-you-go channels. Front treats email as a first-class channel. Intercom supports it, but the platform is designed around customers who are inside a product when they write.

Front vs Intercom pricing in 2026

  • Front: Starter at $25 per seat per month billed annually, capped at 10 seats and one channel. Professional at $65 per seat, up to 50 seats, omnichannel. Enterprise at $105 per seat, no cap. AI is sold as add-ons below Enterprise: Copilot $20 per seat per month, Smart QA $20, Smart CSAT $10, and Autopilot metered from $0.05 per conversation. Enterprise includes Copilot, QA and CSAT.
  • Intercom: Essential at $29 per seat per month, Advanced at $85, Expert at $132 on annual billing. Fin, the AI agent, costs $0.99 per outcome on every plan. Copilot for human agents is $29 per agent per month on annual billing, $35 monthly. Fin is also sold standalone for teams on other help desks, with a minimum monthly commitment.

A fifteen-person team on Front Professional with Copilot pays $15,300 a year. The same team on Intercom Advanced with Copilot pays $20,520 a year plus $0.99 for every conversation Fin closes, which at a few hundred outcomes a month adds several thousand more. Intercom's bill is higher because it is priced on the assumption that Fin replaces seats; a team that would otherwise need twenty agents and needs fifteen with Fin comes out ahead. A team whose inbound Fin cannot safely answer pays the premium for nothing.

What each is built for

Front is at home in logistics, financial services, travel and any operation where one customer request touches several departments before it is done. Routing rules, SLA escalation and cross-team analytics are the point, and someone senior configures and maintains them. Intercom is at home in product-led software companies with a high volume of repetitive questions from logged-in users, where an AI agent with a good knowledge base can close a large share of conversations on its own and the help desk handles the exceptions.

Both are queue tools in the end. A conversation arrives, is handled by a rule or an agent or a person, and closes. That is the correct model for support and operations, and it is worth naming because neither tool changes it.

The test that separates them

Pull a month of inbound and sort it into three piles. Questions an AI could answer from documentation without embarrassment. Requests that need a person and often more than one department. Conversations with clients whose history and commitments matter more than the question in front of you. A large first pile points to Intercom. A large second pile points to Front. A large third pile points away from both, because neither keeps a record of the relationship once the conversation closes.

Where Sektra sits

For the third pile, Sektra runs a shared inbox over Gmail, Outlook and WhatsApp, keeps mail where it is, and adds a memory of every commitment and open question per client, flags for accounts going quiet, and an assistant that answers from the history and acts on the inbox. Every AI feature is in the plan price at $29 per seat on Standard and $59 on Pro, billed annually. It does not deflect conversations with an agent, by design; a person always sends. The side-by-side pages are Sektra vs Front and Sektra vs Intercom, and the three-way comparison with Help Scout adds the email-first support desk to the picture.

Front or Intercom: the short version

  • Pick Front if a human should handle every conversation and the problem is getting it to the right human across channels and departments.
  • Pick Intercom if your customers are inside your product, the volume is high and repetitive, and you want an AI agent to close most of it.
  • Model the AI line at realistic volume for both. Per-seat add-ons and per-outcome fees change the total more than the seat price does.
  • If the inbound is named clients with history, run a relationship-first tool alongside whichever queue you keep, and compare mornings for two weeks.