AI Automation Agency Pricing: What Projects Really Cost
What agencies actually publish
Most pricing articles in this category quote ranges with no source under them. This one uses the figures the agencies themselves publish, either on their own sites or on directories that display a minimum project size, because those are the only numbers you can check without being in the sales process.
The first finding is about silence. Of the 116 agencies in our rankings, 74 publish a minimum budget somewhere citable. The remaining 42 publish nothing at all, and 41 carry no stated pricing model of any kind. Across the agencies that do publish a floor, the median is $10,000.
That distribution matters more than any single band. Roughly a third of this market treats its entry price as something you have to earn a call to learn, which is a legitimate commercial choice and also a data point about how the firm negotiates.
The published floors, by name
Among the reviewed agencies working in AI automation, n8n and no-code automation, the published entry points fall into four groups.
Under $1,000. One agency: MinorCo, which publishes done-with-you training at $750 to $3,500 and done-for-you projects at $5,000 to $30,000 on its own site. The $750 buys teaching, not a build, and the distinction is the honest part.
$1,000 floors. Axe Automation, Makeitfuture, Connex Digital, Width.ai, Agent Studio, AiAdvisors, DataFix, ipanemads and PulpSense. For several of these the $1,000 is the bottom of a wide directory band whose top is $80,000 or $100,000-plus, which tells you the firm will take a small first job rather than that small jobs are the business.
$5,000 floors. 2V Automation, Goodspeed, Bitovi, Digitalcube.ai, InfoGrab and SVA. This is where scoped multi-system project work genuinely starts.
$10,000 and up. cimt ag, TrueHorizon AI, AOE Group, Azati, BotsCrew and LeewayHertz at $10,000; Master of Code Global at $25,000; Markovate at $50,000. AOE Group appears twice in that list because its own figures disagree: a $10,000 floor on the n8n directory against a $50,000 minimum project budget on DesignRush.
Hourly rates, where published, spread across a factor of ten. Azati shows $25 to $49 on Clutch. 2V Automation, Goodspeed, BotsCrew and LeewayHertz show $50 to $99. Makeitfuture shows $80 on DesignRush. Bitovi shows $150 to $199, the highest published rate among the n8n specialists we reviewed. Connex Digital shows $200 to $300. XRAY Tech publishes $250 an hour and a $15,000 monthly retainer on its own site, which is the most transparent rate card in the category and also the most expensive.
Retainers are the least transparent number of the three. Very few automation agencies publish one. XRAY Tech’s $15,000 a month is the clearest example, and it is at the top of the market rather than the middle of it.
Where the wide bands come from
A directory band reading $1,000 to $100,000-plus is not a price. It is a statement that the firm has no standard unit of work, which is itself informative. When you see one, the useful question on the call is what the last five projects actually cost, and how many of them landed near the bottom of that band.
Two agencies in our data contradict themselves outright on entry price, which is worth knowing before you anchor on the lower figure. 2V Automation appears at a $5,000 floor on the n8n directory and a $10,000 minimum on Clutch. Go Nimbly, in the sales category, self-declares $5,000 a month with a three-month minimum on Clay’s partner directory while Clutch shows a $50,000 minimum project size. Neither is dishonest; directories are filled in at different times for different audiences. But if you quote the low number back in a first call, expect the high one in the proposal.
What actually drives the number
Five factors explain most of the variance we see between quotes for superficially similar work.
System count, and connector coverage. Each additional system is not additive, it is closer to multiplicative, because every pair of systems creates a new failure mode. A workflow touching three tools with native connectors is a different product from one touching three tools where the third needs custom API work against undocumented endpoints.
Whether a model is genuinely required. Document extraction, classification, summarization and anything requiring evaluation of output quality add real cost, because they need a test set, an accuracy threshold everyone agrees on, and a fallback path when the model is wrong. A workflow of rules and API calls does not need any of that.
Reliability engineering. Retries, idempotency, dead letter handling, alerting and a monitoring dashboard. These rarely appear in the first quote and always appear in the invoice or in the second engagement. Ask explicitly whether they are in scope, because “we will build the workflow” and “we will build a workflow that survives an API outage at 3am” are different prices for the same sentence.
Discovery burden. If your process is undocumented, the agency has to map it, and mapping is billable. Buyers routinely underestimate this. Writing down the current process yourself, exceptions included, is the cheapest lever you have on the final number.
Who is doing the work. At $50 an hour you are buying a competent implementer somewhere with a favorable cost base. At $250 an hour you are buying senior architecture and, usually, the ability to hold a design conversation about your data model. Both are legitimate. Paying the second rate for the first type of work is the most common way to overspend here.
The quotes to be suspicious of
Under about $2,000 for a full build. At that number the agency is either reusing a template built for someone else, or scoping a single trigger and two actions and calling it a system. The template is not automatically bad, but you should know you are buying one, and you should ask what happens when your process differs from the template’s assumptions.
A fixed price with no discovery attached. A firm quoting a build price before seeing your systems is quoting the average project it has done, not yours. The overage conversation arrives in week three.
A quote with no monitoring line. If error handling, alerting and logging are not itemized, they are not scoped. This is the single most common gap between a demo that works and a system that keeps working.
A retainer with no defined deliverable. “Ongoing optimization and support” for $4,000 a month, with no ticket volume, no response time and no scope, is a subscription rather than a service. Ask what happens in a month where nothing breaks.
Per-seat or per-workflow pricing that ignores platform costs. n8n bills by workflow execution rather than by seat, and self-hosting is free under its Sustainable Use License while single sign-on and separate environments sit behind the paid Business tier. An agency that has not raised platform cost in the quote has not thought about your run rate.
A number that arrives without a written scope. Everything above is downstream of this one. A quote in an email body with no statement of work attached is not a price, it is an opening position.
When the honest answer is not to buy
Pricing only makes sense against the alternative, and the alternative is frequently better.
Work out the actual saving before you commission anything. Hours per month, multiplied by a fully loaded hourly cost, multiplied by twelve. A task that consumes four hours a month at a $60 loaded rate saves about $2,900 a year, and a $10,000 build with a $500 monthly retainer never pays back inside three years. A surprising share of automation ideas fail this arithmetic, and they fail it for reasons the buyer could have worked out in ten minutes without talking to anybody.
Three further cases where the money is better spent elsewhere. If the process changes every quarter, you are buying a rebuild schedule rather than an asset. If the underlying data is unreliable, automation distributes the errors faster and the fix is data cleanup at a fraction of the price. And if the same person could do this in-house given two weeks and a subscription, the agency premium is buying speed, which is worth paying for only when the deadline is real.
The strongest position you can take into a pricing conversation is a documented process, a calculated annual saving, and a stated ceiling. Agencies quote against uncertainty. Removing the uncertainty is worth more than negotiating.
Published prices, and the gaps where a firm publishes nothing, appear on every listing in our AI automation agency ranking, the n8n agency ranking and the Zapier and Make agency ranking. What a ranking position does and does not mean is set out in our methodology.