Disclosure, before anything else
I run AI Makers, and it is #1 on this list because the list is mine. Every other ranking on this query is written by an agency ranking itself; I would rather say so than pretend a vendor list is neutral. What I can promise instead: every other firm here is real, researched from its own site, and described honestly. Where I am the wrong choice I say so and name who is better. I do not publish other firms’ rates unless they publish them themselves, and I have not invented a single number.
“AI automation agency” covers a genuinely enormous range: a two-person shop wiring n8n workflows for a plumbing company, a 250-engineer firm modernising an insurer’s claims stack, and everything between. They are not competitors. Picking from the wrong end of that range is the single most common way an SMB automation project goes wrong — either you pay enterprise process fees for a two-week job, or you hand a ten-system rollout to someone with no bench.
So this list is sorted by shape of firm against shape of project, not by who has the biggest logo wall. Find your row in the table, read those two entries, ignore the rest.
The comparison at a glance
| Agency | Best for | Model | Base |
|---|---|---|---|
| 1. AI Makers | SMBs wanting one senior builder from scope to running system | Founder-led, fixed price, you own the code | Remote — US, UK, EU, APAC, Gulf |
| 2. NextAutomation | Lead-gen and outbound agent workflows, delivered fast | Project-based, source code and docs handed over | Noida, India |
| 3. SuperDupr | Local service businesses — trades, clinics, law, real estate | Project-based, no contracts, $5K-$50K+ published | Remote (US-facing) |
| 4. Octopus Builds | Operations bottlenecks where the ROI has to be modelled first | Outcome-led engagements, pricing on application | Not published |
| 5. Xcelacore | Automation inside an ERP or CRM you already run | Consulting plus delivery teams, RPA and QA in-house | Oak Brook, Illinois |
| 6. DICEUS | Regulated industries — insurance, banking, healthcare | Dedicated teams, staff augmentation, co-managed IT | Nine offices, US/EU/UAE |
| 7. LeewayHertz | Multi-system enterprise programmes | Full-service enterprise engagements | US and India |
No general pricing column: most of these firms do not publish rates, and a number I guessed would be wrong by the time you read it. Where a firm publishes a range itself I quote it and say so. Ask every shortlisted agency for a written fixed quote — and treat a refusal as an answer.
1. AI Makers — founder-led automation for 10-500 person companies
That is me. I am a deliberately small studio: you talk to the person who writes the code, I scope the project, build it with a fleet of AI development agents, and demo working software every Friday. There are no account managers and no junior bench. Projects are fixed-price after a free 30-minute discovery call, most ship in four to twelve weeks, and you own everything at the end — code, prompts, integrations, infrastructure. My bands are published rather than quoted privately: they are on the cost estimator, and the automation service page sets out what the engagement covers.
Best for: SMBs that want senior judgement applied directly to the problem — support agents, back-office workflows, quote-to-invoice chains, internal tools — without paying for an agency’s org chart.
Where I am the wrong choice: if the work is a regulated-industry programme with compliance sign-off at every gate, DICEUS is built for that and I am not. If you need ten engineers embedded next month, that is staffing, not a project. If the value lives entirely inside NetSuite or Dynamics, Xcelacore already knows those stacks better than I will after a discovery call. And if a $75-a-month product covers the job, I will say so on the call and you should spend the money elsewhere.
2. NextAutomation — agent workflows for sales and outbound, shipped fast
NextAutomation build AI-powered lead generation, autonomous agent workflows for sales, support, research and outreach, and multi-platform workflow automation. Their stack is openly listed — OpenAI and Anthropic models, LangChain and CrewAI, n8n and Make, Supabase, Pinecone, plus outbound tooling like Clay, Apollo and Apify — which is more transparency than most agencies offer, and it tells you exactly what shape of thing you are buying. They advertise “delivery in weeks, not quarters” and say every project ships with full source code and documentation. They are based in Noida, India.
Best for: companies whose automation is revenue-shaped — pipeline, enrichment, outreach, follow-up — who want it live quickly and are comfortable working across time zones.
3. SuperDupr — local service businesses, prices published
SuperDupr build AI systems and websites for ten named service industries: construction, law firms, healthcare and dental, real estate, accounting, home services, fitness, insurance, auto services and hospitality. The work is voice agents, chatbots, lead capture and workflow automation, usually alongside the site itself. They say they have launched 100-plus systems, quote delivery in two to four weeks, and run without contracts.
What earns them a place here is that they publish numbers. Their site states projects run $5,000 to $50,000+ depending on complexity, with simple chatbot work around $5,000-$10,000 and multi-agent systems at $25,000-$50,000+. That transparency is rare and it lets you calibrate every other quote you receive.
Best for: owner-run service businesses that want phones answered, leads captured and follow-up automated, without a procurement process.
4. Octopus Builds — model the financial impact before building anything
Octopus Builds — the services arm of Ellenox — run a four-step method that is worth stealing whether or not you hire them: identify the bottleneck, model its financial impact, build the automation into operations, then measure the result. They work on lead handling, customer service, back-office operations and reporting, and their published case work cites hard outcomes such as 93% of calls resolved without human handoff and a 72% reduction in time-to-shortlist. No pricing, location or team size is published.
Best for: companies that need the business case before the build — typically because someone other than the founder has to approve the spend.
5. Xcelacore — automation inside the ERP and CRM you already run
Xcelacore are a Chicago-area consultancy headquartered in Oak Brook, Illinois, covering AI and machine learning, cloud and DevOps on Azure and AWS, custom software, QA automation, robotic process automation, and enterprise platform integration across Salesforce, Microsoft Dynamics 365 and NetSuite. They work in hospitality, fintech, healthcare, ecommerce, marketing, manufacturing and distribution, and education, and their client list includes Ernst & Young, Great Wolf Resorts and Northwestern Medicine.
The reason they belong on an SMB list rather than an enterprise one: a great many mid-sized automation projects are not AI problems at all, they are “this data is trapped in NetSuite” problems, and that is a different skill.
Best for: manufacturers, distributors and operations-heavy firms whose automation value lives inside an existing ERP or CRM.
6. DICEUS — regulated industries and long-lived systems
DICEUS is a custom software firm founded in 2011 with around 250 full-time technical staff and nine offices including Wilmington (Delaware), Wrocław, Copenhagen, Vilnius, Vienna, Dubai and Amman. Their concentration is insurance, banking and fintech, healthcare, logistics and retail, with real depth in legacy modernisation, system integration, data warehousing and business intelligence — plus ready-made insurance products such as policy administration and underwriting systems. Engagement is by dedicated team, team extension, staff augmentation, offshore product development or co-managed IT. They publish no rates and scope after discovery.
Best for: the upper end of the SMB range in a regulated sector, where the automation has to sit inside systems that are audited and are not going to be replaced.
7. LeewayHertz — the calibration point at the top
LeewayHertz, founded in 2007 with offices in the US and India and a 250-plus person team, build enterprise AI: strategy consulting, multi-agent systems, data engineering, and industry solutions across banking, retail, healthcare, insurance and logistics, with 30-plus Fortune 500 clients. They are on this list as the reference point at the top of the market. If your project genuinely needs that machinery, this is what it looks like — and if it does not, seeing the shape of it makes it much easier to tell when you are being sold it anyway.
Best for: complex, multi-system programmes where bench depth and formal process matter more than speed or price.
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Do you need an agency at all?
Sometimes not, and it is worth saying before you spend anything. If you have one or two workflows between tools with clean APIs, and someone in the company enjoys this sort of thing, Zapier or Make will do it in an afternoon for the price of a subscription. The failure mode there is not cost, it is fragility: nobody documents it, it breaks quietly six months later, and the person who built it has changed jobs.
Hire an agency when the automation crosses several systems, has to survive edge cases, touches money or customers, or needs to keep working without its original author. That is the line. There is a fuller version of this argument in AI agency vs in-house, and the build-or-buy version in custom AI vs off-the-shelf software.
Four questions that sort this list faster than any ranking
- Who writes the code? If the person on the sales call never touches the build, you are buying a process. That is correct at enterprise scale and waste at SMB scale.
- Will they give you a fixed written quote? Time-and-materials moves all the estimating risk onto you. A firm that scopes first and then fixes the price is betting on its own estimate, which is exactly the incentive you want.
- What happens to the automation at the end? You should own the code, the prompts and the integrations. Any dependency on the agency’s own platform is future leverage against you — read the IP clause before you compare prices.
- Who runs it in month six? Automation is not a delivery, it is a thing that keeps running. Ask what happens when an API changes, and get the answer in writing.
There is a longer vetting checklist in what to ask before hiring an AI developer, and the same exercise for full custom builds rather than automation in best custom AI development companies for SMBs.
If you want a number today
- Run the 30-second cost estimator for a realistic range on your project shape.
- Read the automation service page if you want to see the engagement and pricing bands in full.
- Or design the system yourself in the builder and send it in — you get a written fixed-price quote back, and the spec is yours to shop to anyone on this list.
Common questions
What does an AI automation agency actually do?
It finds the repetitive work inside a business, designs an automated version of it, connects the systems involved, and keeps the result running. The AI part is usually a small slice — classification, drafting, extraction — sitting inside a much larger amount of ordinary integration work. Any agency that talks only about models and never about your systems is selling the wrong half.
How much does an AI automation agency charge in 2026?
Where agencies publish figures, boutique projects sit roughly between $5,000 and $50,000 depending on how many systems are involved; SuperDupr publishes $5,000-$50,000+, with simple chatbot work at the bottom of that band and multi-agent systems at the top. Most firms of DICEUS or LeewayHertz size publish nothing and quote after a scoping call. My own bands are on the cost estimator.
Is an agency better than using Zapier or Make myself?
For one or two workflows with clean APIs, no. Do it yourself. Agencies earn their fee when the automation crosses several systems, needs to survive edge cases, touches money or customers, or has to keep working when the person who built it leaves.
How long should an AI automation project take?
For a single-workflow SMB project, weeks rather than quarters — SuperDupr advertise 2-4 weeks and NextAutomation say delivery in weeks with full source code and documentation, which matches what I see in practice. Anything quoted in quarters is either genuinely a platform build or an agency with a queue.