Front AI (Autopilot) vs an AI Agent Layer: The Real Cost

What "Front AI" actually includes

"Front AI" is not one product — it's a family of add-ons, and knowing which is which is the first step to understanding the cost. Per Front's AI product page and its pricing page, the pieces that matter are:

Autopilot is the autonomous AI agent. It reads incoming conversations, matches them against Topics you define, and replies on its own — the closest thing Front has to end-to-end resolution. This is the capability that makes AI feel like an extra teammate rather than a writing aid.

Copilot is the assistive layer that sits beside a human agent: it drafts replies, rephrases, summarizes long threads, and answers "what's the status here" so a teammate can respond faster. It never acts alone; a person is always in the loop.

Smart QA and Smart CSAT are the measurement add-ons. Smart QA auto-scores conversations for quality; Smart CSAT infers customer satisfaction without a survey. Useful for managers, but they don't touch resolution.

The honest summary: Front's native AI is strong at assisting humans (Copilot) and measuring work (Smart QA/CSAT), and it takes a real swing at autonomous resolution with Autopilot. Where it gets interesting is the bill.

How Front AI is billed

Front layers AI on top of its per-seat plans as separately priced add-ons. Here are the figures currently published on front.com/pricing, captured July 2026:

Two different meters are running here. Copilot, Smart QA, and Smart CSAT are per-seat — a flat monthly cost for every teammate you enable them for, whether they use the feature ten times or a thousand. Autopilot is per-conversation — you pay each time it engages a conversation, starting at $0.05.

Per-seat billing is predictable, which is its virtue: you know the Copilot line on the invoice before the month begins. But it decouples cost from value — a light user and a heavy user cost the same. Per-conversation billing tracks usage more closely, but it also means a busy month is a bigger bill, and every conversation the agent touches is a chargeable event whether or not it fully resolved the issue.

The AI Answers discontinuation

There's one more thing worth naming, because it changes what "Front AI" means today. AI Answers — Front's earlier chatbot for resolving Front Chat inquiries from a knowledge source — has been discontinued. Front's own help center is direct about it: the AI Answers article now opens with a banner reading "AI Answers is no longer available for purchase. Check out Autopilot Resolve."

If you were relying on AI Answers, or evaluated it in the past, that path is closed. Front consolidated its resolution story into Autopilot, which is the per-conversation model above. It's a reasonable consolidation on Front's part — one agent, one billing model — but it's also a reminder that native AI roadmaps shift, and the feature you standardized on can become "legacy" with a banner. A layer you connect on top of Front is insulated from that churn: your automation logic doesn't get deprecated when the vendor renames a SKU.

Where an AI agent layer has the edge

Front AI is a fine default, and for teams that want AI inside Front with nothing else to manage, Copilot and Autopilot are the obvious start. But a dedicated AI agent layer — like Macha, which runs on top of the Front you already use rather than replacing it — has an edge in three places worth being specific about.

Billing by action, not by seat or by conversation. Macha's credits are consumed per AI action — each discrete thing the agent does, like reading a thread, calling a tool, or drafting a reply. That's a different meter from Front's. A per-seat add-on charges you for teammates who barely use it; a per-conversation charge fires on every conversation touched. A per-action model tracks the actual work the AI performs. Here's how Macha surfaces it:

To be clear on what that does and doesn't mean: per-action pricing is honest about the fact that automation and true resolution cost different amounts of reasoning, and it never claims to bill "per resolution" — outcomes vary, so Macha's credits price the work, not a guaranteed result.

Depth of resolution through custom tools. Autopilot replies from Topics — a knowledge layer. That's excellent for "what's your return policy" but thin for "where's my order #48213." A real resolution often needs to do something: look up an order, check a subscription, trigger a refund. Macha reaches into your own systems through a custom tool that turns a REST API into something the agent can call mid-conversation, so it can answer with this customer's live data, not just a generic article.

Portability and control over the agent. Because the layer connects to Front rather than being fused into it, you build the agent once and keep full control of its instructions, tools, and guardrails — independent of Front's own AI roadmap. The broader category of AI agents for customer service exists for exactly this reasoning-heavy work.

None of this makes Front AI wrong. If your volume is modest and your questions are mostly knowledge-base answerable, Autopilot at $0.05/conversation plus Copilot per seat may be all you need. The layer earns its keep when resolution depth, per-action economics at scale, or independence from a single vendor's roadmap start to matter.

Cost model, side by side

The two approaches meter cost differently, so a fair comparison is about what you're paying for, not a single sticker price:

Front's model is simplest when volume is low and answers are knowledge-based. A per-action layer becomes attractive when you want the AI to actually resolve — pulling live data and doing work — and you want the meter to track that work. For the underlying Front plan costs the AI add-ons sit on, see Front pricing explained, and for the wiring, connecting Front to Macha to route conversations to AI walks through it end to end.

FAQ

How much does Front AI cost? Front AI is sold as add-ons on top of Front's per-seat plans. Per front.com/pricing (July 2026): Autopilot starts at $0.05 per conversation, Copilot is $20/seat/month (or included in Enterprise), Smart QA is $20/seat/month, and Smart CSAT is $10/seat/month. Autopilot is usage-based; the rest are per-seat.

Is Front AI Answers still available? No. Front's help center states AI Answers "is no longer available for purchase" and directs customers to Autopilot Resolve instead. If you used AI Answers, resolution has been consolidated into Autopilot's per-conversation model.

What's the difference between Autopilot and Copilot? Autopilot is the autonomous agent — it replies to conversations on its own based on Topics, billed per conversation. Copilot assists a human agent (drafting, summarizing, rephrasing) and is billed per seat. One acts alone; the other always keeps a person in the loop.

How is Macha's pricing different from Front AI's? Macha bills per AI action — each discrete thing the agent does — rather than per seat or per conversation. It never bills "per resolution," because outcomes vary. See Macha's pricing for the current credit plans.

Does Macha replace Front? No. Macha is an AI agent layer that connects to and runs on top of your existing Front shared inbox — it does not replace Front, your inboxes, or your rules. You keep Front; Macha adds an agent that reads conversations, pulls live data through custom tools, and drafts or sends grounded replies.

Ready to add an AI agent layer that bills per action, not per seat? Start a free trial of Macha and connect it to your Front in minutes.