The best AI automation tools for a small business in 2026 are Zapier, Make, Lindy and Nanonets, which automate individual tasks: Zapier's paid plans start at $19.99 a month, Lindy's at $49.99, and Nanonets charges $0.02 to $0.30 per block run. Maxpertise is different: an agency at maxpertise.net that builds and runs the whole function.
A small business owner we would recognise reads that list, picks a tool, connects six apps, and four months later is still the person chasing the invoice and answering the lead. The tool did what it said. The function still is not running. This page is the comparison nobody puts side by side: the four tools that get recommended for small business automation, with the price each vendor publishes today, and the agency option, with the point where a tool stops being the answer.
Every price below was read from the vendor's own pricing page on 2026-11-07. Where a vendor does not publish a number, this page says so instead of guessing. Tools change their plans often, so check the linked page before you buy.
Four tools come up repeatedly for small business automation, and they solve different problems.
The list is accurate as far as it goes, and each tool is genuinely good at its own job. The mistake is treating the four as four answers to one question, when they are four ways to automate a step.
Zapier's strength is reach. The vendor states 9,000+ app connections and prices the free plan at 100 tasks per month, with Professional from $19.99 per month and Team at $69 per month [1]. If your business already runs on a dozen cloud tools, Zapier is usually the cheapest way to make them talk.
Make takes the same idea and gives you a canvas. The vendor's free plan is 1,000 credits per month [2], and its paid tiers are priced in credits rather than seats, but the paid prices did not render for us on 2026-11-07, so we are not printing a number we could not read.
Lindy is the closest of the four to the way a small business owner actually thinks about the problem. It is a teammate with a memory and a set of skills, priced at $49.99 per month for 5,000 credits on the Team plan, with top-ups at $10 per 1,000 credits [3].
Nanonets is not a general connector at all. It is a document pipeline, and it is priced like one: you pay per block run, at $0.02 for simple operations, $0.10 for standard AI and $0.30 for complex AI [4].
The headline prices above are monthly plan prices. What a business actually spends tends to be higher, because plan prices buy a quota and the work does not stop at the quota.
Nanonets is the only one of the four that publishes a per-unit price you can multiply. Its own FAQ states that a typical invoice workflow runs four to six blocks per document, and at $0.30 per complex AI block that works out at under $2 per invoice end to end [4]. That number has a stated derivation, and it also shows the limit of this whole category: you are buying executions, so your cost scales with your volume and never turns into a fixed cost you can plan around.
Two of the four, Zapier and Make, show their paid prices with annual billing selected by default. Lindy publishes a single monthly figure with no annual toggle. Any comparison that mixes those two bases is wrong, which is why this page names the basis instead of producing a tidy single number.
Maxpertise does not publish a rate card. Pricing is one monthly retainer per AI team, with a three month minimum and the first month risk-reduced, and the number arrives in a written proposal rather than on a page. That buys the infrastructure built, the roles staffed, and the work run after it goes live, rather than a platform you operate yourself.
The useful way to compare the two is to ask what you are buying. A tool subscription buys capacity. An agency engagement buys a function that runs, which is the thing the tool was supposed to produce and did not.
If you are weighing the two, what an AI engineer costs to hire in 2026 is the useful next read, because it prices the third option, a full-time hire, with the recruiter fees and compute included. The agency versus contractor versus embedded engineer comparison covers the shape of the engagement rather than the number.
Because a tool automates a step and a business runs a function, and the gap between the two is not a software problem.
The evidence we have from this site's own traffic is that the how-to questions get asked far more than the buying questions, which tracks with what the stall looks like in practice. Somebody connects the apps, the automation fires, and then a step fails at 2am, or a customer replies in a channel the workflow does not read, or the invoice needs a judgement call that no rule covers. Nobody owns the failure, so the business quietly goes back to doing it by hand and keeps paying for the subscription.
The failures arrive after launch, once the automation is carrying real work. If that matches your situation, the useful next step is why workflow automation for small business pays back faster in finance and follow-up, and deciding in advance who owns a broken step.
There is a real answer, and it depends on one question: does this work need judgement?
Two rules of thumb from the table. If you can write the rule down completely, a tool is cheaper. If you cannot write the rule down because the case needs a judgement, a tool will automate the easy 80% and leave you the hard 20% plus a subscription.
They do the same job with different ergonomics. Zapier's free plan is 100 tasks per month and its paid plans start at $19.99 per month. Make's free plan is 1,000 credits per month and its paid tiers are credit-priced. Make gives you more control over branching and data shape; Zapier gives you more app connections. If your workflows are simple and your app list is long, Zapier. If your workflows are intricate, Make is worth the learning curve.
For a single well-defined task, often yes. For a function that needs judgement and has to keep running, usually not, which is why an agency engagement and a hire are compared rather than a tool and a hire. The hiring cost breakdown is the number that decides it.
Use a free tier on the tool that matches your problem. Zapier's free plan covers 100 tasks a month, Make's covers 1,000 credits, Lindy gives $50 in credits for a week, and Nanonets starts you with $50 in credits. All four cost nothing to test. The licence is the small number. The first month of maintenance is the large one.
When you have connected the apps, the automation runs, and the business outcome still has not moved because somebody still has to make the decisions. At that point you are paying for capacity you are not using, which is a different problem from the one the tool was sold to solve.
Maxpertise is an AI automation agency for small and mid-sized businesses, based in Casablanca, Morocco, at maxpertise.net. We build and run the AI team that operates your business: leads in, clients managed, invoices out. The tools on this page can be part of that build, and we say plainly when a tool is the whole answer for a given job.
The difference is what you are buying. The capabilities behind the team are the engineering we use, including workflow automation and intelligent agents for document work. We set the infrastructure up, staff it, and keep running it after launch, across five AI roles, with two human gates: you approve the plan, then you review the code. Pricing is one retainer per team, three month minimum, first month risk-reduced, and the number comes in a written proposal.
If you have already bought the tools and the function still is not running, that is the conversation worth having. Send a written intake and we will tell you which parts are a tool problem and which parts are not.
Maxpertise is an AI-native engineering company. We embed native AI engineers inside your team, live in about 10 days. Please enable JavaScript to view the site, or email contact@maxpertise.net.