AI automation agency pricing: charge from the wage you replace

You built a workflow that answers leads in two minutes instead of two days. Now the owner asks "how much?" and you freeze, because Google tells you agencies charge anything from $500 to $100,000.

Those ranges are real, but they describe other people's clients. A plumber with three staff is not buying a $40,000 multi-agent system. What they will buy is something that costs less than the person currently doing the boring part of the job.

This guide gives you one method to price from, three worked quotes and the mistakes builders on r/n8n, r/Upwork and r/freelance keep reporting.

What do AI automation agencies actually charge?

For small businesses, most published and reported prices sit at $500 to $5,000 for setup and $100 to $1,500 a month for ongoing care. Bigger clients pay more because the workflows touch more systems and more money.

Prices as reported in late 2026. Treat them as a sanity check, not your price. Your price comes from the client's own numbers.

What is the junior assistant wage method?

The junior assistant wage method prices an automation from what the client already pays a person to do the task. You estimate the manual hours the system removes each month, multiply by that person's hourly cost, and the result is the monthly money on the table.

The idea comes straight from a reply on a popular r/n8n post. A builder had charged $500 for a WhatsApp order system for a local shop. A commenter who builds lead validation workflows for real estate firms explained how they would have priced it: if it saves 200 hours a month and a junior assistant earns $8 an hour, that is $1,600 a month of work. For a shop on a tight budget, they suggested $1,000 setup and $600 a month.

Why this works: an owner does not care how clever your n8n nodes are. They know what their assistant costs. When your quote is clearly smaller than that, the conversation stops being about whether you are expensive.

How do you calculate your price step by step?

Ask four questions, do one multiplication, then pick setup and retainer as fractions of the saving.

1. Ask what is done manually today, how long each instance takes, how often it happens and who does it. A builder on r/AiAutomations uses exactly these four questions before quoting anything.
2. Get the hours per month. Minutes per task times tasks per month, divided by 60. Round down so you never oversell.
3. Get the hourly cost of the person doing it. Ask the owner. If they will not say, use the local going rate for an admin or junior assistant, and say it is an estimate.
4. Multiply to get the monthly saving.
5. Set the setup fee at about two to four months of that saving, and the monthly care plan at about 25 to 40% of it.

Here is the calculator in plain text so you can copy it into your notes:

Hours of manual work saved per month:      ____
Hourly cost of the person doing it today:  ____
Monthly saving:                            ____ x ____ = ____
Setup price (2 to 4 months of saving):     ____
Monthly care plan (25 to 40% of saving):   ____
Client payback period: setup / (saving - care plan) = ____ months

Tip: Show the client the payback line. "This pays for itself in about three months" closes better than any feature list.

What do real quotes look like with this method?

Three worked examples, from a tiny shop to a busy office. The wages here are illustrative; swap in your client's real numbers.

Example 1: a local shop answering WhatsApp orders

• 200 hours a month of message handling at $8 an hour = $1,600 a month saved (the r/n8n commenter's numbers).
• Setup at about 0.6 months, because the owner is cash poor: $1,000.
• Care plan at about 37%: $600 a month.
• Payback: $1,000 / ($1,600 minus $600) = 1 month.

The original builder charged $500 once. Same work, wildly different business.

Example 2: an office manager re-keying leads

• 10 hours a week (about 43 a month) at $25 an hour = about $1,075 a month. A builder on r/AiAutomations used nearly this case, rounding it to $1,000.
• Setup at 2 months: $2,000 (they suggested $1,500 to $3,000).
• Care plan at 25%: $250 a month.
• Payback: $2,000 / ($1,075 minus $250) = about 2.4 months.

Example 3: a small agency doing weekly client reports

• Two staff spend 6 hours each per week pulling numbers into slides: about 52 hours a month at $22 = $1,144.
• Setup at 3 months: $3,400.
• Care plan at 30%: $350 a month.
• Payback: $3,400 / ($1,144 minus $350) = about 4.3 months.

Notice the method does not care how long the build took you. If example 3 took you a weekend, that is your margin, not the client's discount.

Should you charge a project fee, a retainer or both?

Charge both: a setup fee for the build and a monthly care plan for keeping it alive. Replies on the r/n8n pricing thread lean the same way, because automations are not one-off: APIs change, forms get renamed and a silent failure costs the client real leads.

The care plan is easier to justify when it is concrete. An agency owner on r/n8n who builds for dozens of clients says the habits that matter are logging every run and alerting on errors before the client notices. Put those in writing:

• Error alerts and a fix within one business day
• One or two small change requests a month
• A monthly note: runs completed, errors fixed, hours saved
• Platform and credential oversight

If a client refuses any monthly fee, offer a one-off build with a written handover and an hourly rate for future fixes. Some will come back to the care plan after the first breakage.

For where the workflow should live, which changes your monthly costs, see n8n self-hosted vs cloud for clients.

Who pays for the AI tokens and software?

Have the client pay vendors directly wherever you can. Alpenglow AI's public price page tells buyers that platform and AI usage fees, typically $20 to $250 a month, go to the vendors rather than the agency. A builder on r/AiAutomations gives the same advice to beginners: move AI fees to the client and charge only for building; once you run it as a service, you can bundle usage with a margin.

Accounts in the client's name also protect you. If they cancel, nobody argues about who owns the OpenAI key.

How should a beginner price the first clients?

Discount openly for the first two or three, in exchange for a case study, then stop. The r/AiAutomations builder did their first few automations for far less than they were worth so they could say "I built this and it saved this business X hours a week". That proof sells the next client.

The difference between a smart discount and the $500 trap is framing:

"My normal price for this would be $2,000 setup and $250 a month. Because you are one of my first clients, it is $1,000 setup and the first two months of care are free, if you let me publish the result with numbers."

You anchor the real price, the client sees the value, and raising it later is not a surprise. The AI Automation pack has the full version of this script plus the case study template.

If you have not picked a service yet, start with how to start an AI automation agency with no experience.

What mistakes make automation pricing go wrong?

Most pricing mistakes come from quoting your effort instead of their saving, or giving the plan away.

• Charging by build time. One r/n8n pricing thread reply put it well: even at $200 an hour, a fast build would bill $1,000 to $3,000 for something saving the client far more each year.
• One-off only. A $500 build with no care plan means you either fix breakages for free or lose the client.
• Free detailed scoping. Freelancers on r/freelance report clients taking detailed proposals and building them elsewhere. Give a short summary free, and charge for the full plan (Alpenglow charges $750 for an audit, credited to the build).
• Overselling hours. If you claim 200 hours and the owner knows it is 40, you lose trust. Round down and let the monthly report prove more.
• Selling vague "AI automation." Owners tune out the word. Quote the job: "answering every new lead within five minutes".
• No change orders. Every extra feature after sign-off gets a written price, or your $2,000 build turns into a $2,000 month.

Watch out: None of these numbers are income promises. Many builders spend months finding a first client; selling is most of the job.

Where to go from here

1. Pick one repeated task you can automate reliably, using AI agents vs automations to choose.
2. Interview three owners with the four questions and fill in the calculator for each.
3. Quote setup plus care plan, with the payback line visible.
4. Do your first one or two at a stated discount for a case study.
5. Send a monthly report and raise prices for new clients once you have proof.

The AI Automation pack gives you the full 23 lessons across 6 modules: the pricing calculator, care plan menu, paid scoping package, proposal templates and handover checklist. It is $19 on its own, and all 16 Money Printer packs are $39.