GuideSalesAI SDRCostAI-Native

How Much Does an AI SDR Actually Cost?

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Published by NativelyDrafted, reviewed, and edited by the team
· 7 min
the price tag covers the bottom bar

Almost every demo we run ends with the same question: what does this cost? The honest answer is annoying. An AI SDR runs anywhere from about $150 a month to $90,000 a year, and where you land has almost nothing to do with the number on the vendor’s pricing page.

Booking meetings is the whole job for Natively’s outbound sales use case, so we have opinions about what a meeting should cost to book. This is the real price of an AI SDR: the sticker, the two lines the sticker hides, and a calculator so you can price one against your own pipeline before a rep ever emails you back.

What’s the sticker price?

Start with what vendors charge, because it’s where everyone starts. Reported list prices for the named AI SDR platforms cover a startling range. Artisan’s agent, Ava, is reported to start around $1,500 a month. 11x is reported closer to $5,000 a month and up, on an annual contract. Qualified’s Piper is reported to start near $42,000 a year. Treat all of those as directional: they’re demo-gated, quoted by third parties, and they move with volume and negotiation.

(The vendors that make you book a demo to hear a price have already told you something about the price.)

Salesforce takes a different shape. Agentforce sells by usage: $2 per conversation, or about ten cents per action on its Flex Credits plan ($500 buys 100,000 credits; an action costs 20). That sounds tiny until you count what an outbound sequence actually does. Researching an account, drafting a personalized message, logging the activity, and following up can fire thirty-five actions or more for a single prospect. At ten cents each, one prospect worked end to end is a few dollars, not a few cents.

Natively doesn’t buy a seat. We run our use cases on inference directly, which is why our number looks different: the AI SDR use case’s entire stack, inference plus orchestration plus data APIs, cost $174 all-in for a full month of production. That’s the whole spread in one paragraph, from $174 to five figures a year, for something the category calls the same name.

Why the sticker price is the wrong number

Because it prices one layer of three. Whatever you pay a vendor is real, but it sits on top of two costs the quote never mentions, and one of them is bigger than the software.

01
The software

The subscription, or the inference bill if you run the agent yourself. This is the number on the pricing page, and it is the one everybody fixates on. It is also, in most real deployments, the smallest of the three.

02
The data and tools

Contact data, email-sending infrastructure, the enrichment API the agent hits on every account. An agent with nothing to work on is just a very expensive text box. This line often matches or beats the software line, and it scales with how many accounts you touch.

03
The review labor

The salaried human who reads what the agent wrote and decides whether it ships. No vendor quotes this, because it lands on your payroll, not theirs. It is the expensive line, and the one that quietly decides whether your AI SDR is a bargain or a boondoggle.

Layer three is the one that trips people up. An agent that drafts 400 emails has not saved you 400 emails of work. It has moved the work from writing to reading. Reading a draft is faster than writing one, so you still come out ahead, but someone salaried is doing that reading, and their time is the cost that scales with the agent’s output. Price the software and forget the review time, and you’ll model a bargain that arrives as a break-even.

Price it for your own pipeline

So do the math for your situation, not ours. Take the meetings you actually need per month, add the software line you’re quoted, then add reviewer time: hours per week your team spends reviewing sends, times about 4.33 weeks, times that person’s loaded hourly cost. Divide the total by the meetings. That single number, cost per booked meeting, is the one to compare against a human SDR’s $700–$1,400. Reviewer time usually moves that number more than the software line does, which is the whole lesson.

Run it against our own defaults to see the shape of it: $174 in software, 5 reviewer hours a week at a $60 loaded rate is another roughly $1,300 a month, for a combined total near $1,470. At 10 meetings booked, that’s about $147 per meeting, still well under a human SDR’s range, and review labor is the majority of the total. Push the reviewer hours up or the meetings down and the per-meeting cost climbs fast; that’s the line to watch, not the subscription.

What did it cost us?

Here’s our worked example, with the review line honestly flagged as the part we haven’t fully priced. In its first 30 days on Natively’s own pipeline, our AI SDR use case touched 312 accounts, generated 34 replies, and booked 9 qualified meetings. The stack cost $174 all-in: $76 of inference, $20 of orchestration, $78 of data APIs. Nine meetings divided into $174 is $19.33 per booked meeting.

That $174 does not include the time our team spent approving the sends, and we’re not going to hand you a made-up figure for it. We’re measuring our own review rates before we publish them. What we can tell you is that the approval step caught three misfires that month, accounts where the buying signal turned out to be an internal reorg dressed up as growth. Those never reached an inbox. The review line is a cost. It’s also the reason the whole thing is safe to run.

What does the human SDR cost, really?

You need this number to have a real comparison. A human SDR’s meeting isn’t free either. Bridge Group’s 2023 report (365 B2B companies) puts the average SDR quota near 19 meetings set per month at 53% attainment, which is about ten actual qualified meetings from an average rep. Fully loaded, that rep runs $100K to $160K a year (RepVue’s US median is about $90K OTE, Bridge Group’s about $76K, plus roughly 1.4x for benefits, payroll taxes, and tooling). Divide the cost by the meetings and a human SDR books one for somewhere around $700 to $1,400.

And that’s a rep at full speed. New hires spend their first months ramping before they hit that rate, so the early cost per meeting is higher than the steady-state number. None of this makes human reps a bad investment. It makes them an expensive way to do the part of the job that’s pure execution.

Worth saying plainly, because the point of an AI SDR is not to fire the sales team. Gartner found in 2024 that sellers who partner with AI are 3.7 times more likely to meet quota. The model that works is AI doing the volume and a human doing the judgment, which is exactly how our outbound sales use case runs: it drafts, a person approves.

When does an AI SDR not pencil?

Two cases, and any honest vendor will name them. Ours is built to.

Low volume. All of the savings come from spreading a fixed setup across many repetitions. If your outbound is eleven emails a month, a competent human doing them on a Thursday afternoon is cheaper and probably better. The calculator will show you this: drop the meetings low enough and the cost per meeting climbs past the human band.

Unverifiable output. If no one on your team can tell whether a message is right before it goes out, you haven’t bought capacity. You’ve bought a confident stranger with your logo on it. The review step is what makes agent work safe, and a review nobody is qualified to perform is just cost with a straight face.

The short version

The sticker price is the smallest true thing about an AI SDR’s cost. Add the data, add the review time, then divide by the outcome you actually want, a booked meeting, and compare that to what a meeting costs you today. Do it with your own numbers in the calculator above. If the answer comes in well under a human’s $700-to-$1,400, buy the capacity. If review time pushed it high, the fix usually isn’t better AI. It’s a tighter definition of what it’s allowed to send without asking.

If you’d rather see the real figures than our summary of them, the receipts are public: our AI SDR’s first 30 days, every number, including the misfires, and our CFO guide on why the cost-versus-salary slide is the one to ignore. When you want the version priced to your pipeline instead of ours, that’s what the demo is for.

Sources

  1. 1.Natively: Our AI SDR's First 30 Days on Pipeline: Every Number (Jul 2026): 312 accounts, 34 replies, 9 qualified meetings, $174 all-in ($76 inference + $20 orchestration + $78 data), $19.33 per booked meeting
  2. 2.The Bridge Group: Sales Development (SDR) Metrics & Compensation Report (2023, 365 B2B companies): avg quota ~19 meetings set/month; 53% average quota attainment; median OTE $76K
  3. 3.RepVue: SDR Salary Data, United States (Aug 2025): median base $59,352; median OTE $90,272 (crowdsourced, live data)
  4. 4.Salesforce: Agentforce pricing: $2 per conversation; Flex Credits $500 per 100,000 credits (~$0.10 per 20-credit action)
  5. 5.White Space Solutions: AI SDR Pricing Guide (2026): reported, demo-gated list prices for Artisan (Ava), 11x, and Qualified (Piper); directional, not vendor-published
  6. 6.Gartner: Sellers who partner with AI are 3.7× more likely to meet quota (Sep 16, 2024)
  7. 7.Anthropic: Claude Sonnet 4.6 API pricing: $3.00/1M input, $15.00/1M output (Jul 2026): the inference basis for the AI SDR use case's $174 all-in stack

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