The invoice from the AI vendor arrives and the support manager reads it twice. 1,400 resolutions last month at 99 cents each - $1,386, plus seats. She pulls up the conversation log to see what a resolution looks like. The first one: a customer asked what time the store closes, the AI answered, the customer said thanks. Two messages. Ninety-nine cents. The next one: where's my order, here's your tracking link, great. Ninety-nine cents. She scrolls. Most of the log looks like this - quick questions, quick answers, each one billed like it was hard. Somewhere past the four-hundredth row she does the division: the AI's actual work on most of these conversations was a few sentences of text generation that costs the vendor fractions of a cent. The other 98 cents is the business model.
What "per resolution" actually prices
Fin.ai - Intercom's AI agent - charges $0.99 per resolution. The pitch is fairness: you only pay when the AI succeeds. And read quickly, it sounds like paying for outcomes instead of activity, which is a genuinely appealing idea.
But look at what the flat price does to the distribution of real support work. Every support queue is mostly short questions - hours, order status, password resets, "do you service my zip code" - with a long tail of genuinely involved conversations. A flat per-resolution price charges the two-message question and the twenty-message billing dispute the same dollar. The quick conversations subsidize the long ones, and the quick ones are most of your volume. Flat pricing doesn't remove the meter; it just rounds every conversation up to the most expensive one.
The fine print goes further than most buyers read. Per Fin's published pricing - verified from fin.ai/pricing as of August 2026, and we'll update this post if it changes - a billable "outcome" is not only a resolution. You're also charged $0.99 when Fin completes a Procedure you configured to hand off to a human - a handoff you built is a billable success. Disqualifying a sales prospect: $0.99. Qualifying one: $9.99. There's a 50-outcome monthly minimum (about $49.50 before anything happens), Intercom users pay seat fees on top, and the voice product has no published price at all - it's "contact sales."
The other way to meter: price the work, not the win
Verlingo meters the actual work: 2 cents per AI reply. Customer messages are free. Your human agents' replies are free. Every plan includes a monthly allowance you can spend on chat or voice in any mix, and every rate is printed on the pricing page - read from the same database that runs checkout, so this article can't quote a price our billing doesn't honor.
And to head off the natural suspicion: a 2-cent reply is not a cheap-model reply. Every Verlingo conversation runs on current frontier models - as of this writing, the same GPT-5-class intelligence the premium vendors advertise - never quietly downgraded to a "flash" or "lite" tier to protect a margin. The intelligence in the two products is the same class. The difference is what you're billed for it: the model's actual work costs fractions of a cent per reply, and per-outcome pricing marks that up to 99 cents whether the work was hard or not.
Here's what the two meters do to the same conversations:
| Conversation | Verlingo (2¢/AI reply) | Fin.ai ($0.99/outcome) | Difference |
|---|---|---|---|
| Quick answer (2 AI replies) | $0.04 | $0.99 | ~25x |
| Typical chat (4 AI replies) | $0.08 | $0.99 | ~12x |
| Involved chat (10 AI replies) | $0.20 | $0.99 | ~5x |
| Handoff to your team | Free — human replies aren't billed | $0.99 via a configured Procedure | — |
| Lead qualified | the replies it took — pennies | $9.99 | ~100x |
| Monthly minimum | $29 plan (~500 replies included) | ~$49.50 (50-outcome minimum) | — |
The break-even is worth saying out loud: a single conversation would need about 49 AI replies before Verlingo's meter costs more than one Fin outcome. We have never seen a 49-reply support chat that shouldn't have been a phone call.
Those are worked examples; here are our actual numbers. Across every conversation on the Verlingo platform over the last 30 days - 5,725 chats - the average was 2.5 AI replies per conversation, about 5 cents. The single most common conversation in the log: two messages, one AI reply, 2 cents. Fin's price for that same average conversation is 99 cents - roughly 17x - and for the most common one, closer to 50x. We'll refresh these figures periodically; the current ones are from July 18 to August 17, 2026.
The honest counterargument
Fin's model has one genuine advantage, and a fair comparison should price it: when a conversation just gets passed to your team with no outcome, Fin charges nothing, while Verlingo bills the AI replies whether or not the conversation resolved. So stack the deck against us. Assume only half your conversations resolve with AI - a rate well below what a decently trained agent achieves. At a 4-reply average, every conversation costs you 8 cents at Verlingo, resolved or not. Fin's effective cost per conversation at that resolution rate is about 50 cents. In the scenario built to favor flat pricing, the meter is still roughly six times cheaper - before counting billable Procedure handoffs, $9.99 qualifications, seat fees, or the monthly minimum. At realistic resolution rates of 60 to 80 percent, the gap widens back toward 10x.
And a resolution rate is only worth paying for if the resolutions are real - a customer who gave up isn't a success, whatever the invoice says. That's a distinction we've argued at length before, and it cuts against per-resolution billing twice: you're not just paying flat rate for easy wins, you're trusting the vendor's own definition of "no further help was requested" to decide what you owe.
Run your own numbers: the reply-count audit
Skip both vendors' framing - your own conversation log prices this in an afternoon. Pull last month's support conversations and count two things. First, the reply depth: for a sample of AI-handled (or agent-handled) conversations, how many replies did your side actually send? Take the median - for most businesses it lands between 2 and 5. Second, the monthly volume: total conversations, and roughly what share ended resolved without a human.
Then price the same month twice. Metered: volume x median replies x $0.02. Per-outcome: resolved conversations x $0.99, plus $0.99 for any handoffs that would run through a configured Procedure, with a $49.50 floor. A concrete example, using numbers typical of the small businesses we see: 500 conversations, 70% AI-resolved, 4 replies average - about $40 of metered usage (inside our $249 Starter allowance, or roughly $59 on the $29 Launch plan with overage) versus about $347 per-outcome. At 2,000 resolutions a month the flat meter reads $1,980; Verlingo's $599 Growth allowance covers roughly 21,000 replies - around five thousand conversations at that depth - and the same balance spends on phone minutes. One afternoon with your own log will tell you which meter was built for your traffic - and whose.
Start small, measure it
You don't have to take either vendor's arithmetic on faith. The pricing page has a calculator - put in your real volume and see the bill before you sign up. Or skip the math entirely and build a free demo agent from your website in two minutes: it answers as your business, takes a message that lands in your inbox before you hang up, and costs nothing to try. Run it against your own questions, then run the reply-count audit on your own log. If flat per-resolution pricing wins for your traffic, you'll have the numbers that prove it - and if it doesn't, you'll know exactly what rounding every 4-cent conversation up to 99 cents was costing.