"How much does it cost to build AI automation?" is the first question almost every business owner asks. And the answer is almost always vague: "it depends." That's honest but useless. So let's do the opposite — show the real price ranges MaxICo Labs works with in 2026, explain exactly what pushes the number up or down, and give you a table you can use to estimate your own budget before the first call.
One caveat about the market first. When you Google "AI automation cost," you'll see cases at $20,000, $60,000, even $200,000+. Those are real numbers — but they belong to large integrators building custom systems from scratch for an enterprise with a security department, legal, and a dozen stakeholders. For a small or mid-sized business, that price tag isn't a benchmark. Our ranges are several times lower, because we don't rewrite the world from scratch — we assemble solutions from proven building blocks.
The short answer: 2026 price ranges
If you want one number "just to orient yourself," here are the base thresholds our projects start from (EU/US market pricing):
- Automating a single process — from $600. One clear scenario: parsing inbound leads, auto-filling a sheet, sending reminders, syncing two services.
- Chatbot / AI agent — from $1,000. A bot in Telegram, on your website, or in Instagram that answers questions, qualifies a lead, takes an order.
- Bot + CRM — from $2,000. The same bot, but with a two-way link to your CRM: it creates deals, updates statuses, pulls up client history.
- Platform / custom CRM — from $3,000. A dedicated system for your processes: portal, roles, dashboards, internal automations.
- Team training — from $1,000. A workshop plus playbooks so your people use AI tools themselves, every day.
These are "from" figures. The real number depends on a few concrete factors — we'll cover them below, so you understand why one bot costs $1,000 and another $4,000.
What actually drives the price
The cost of AI automation isn't "per hour of work." It's a function of complexity. Here are the five levers that set the number.
1. Number of processes
One process, one range. Automating lead handling from a single source is the base level. Automating leads from your website, Instagram, Telegram, and phone system at once, with unified prioritization logic, is already 3–4 processes in one project — and the price grows more than linearly, because coordination between them is added.
2. Number and complexity of integrations
The most expensive part of automation isn't the bot's "brain" — it's the seams with your systems. Connecting one service with a decent API (say Google Sheets or Telegram) is fast and cheap. Connecting a legacy CRM with no API, or a service where integration has to be done through workarounds, is multiples more work. The rule is simple: the more external systems and the "older" they are, the higher the price.
3. Volume and load
A bot handling 50 requests a day and a bot handling 50,000 are different architectures. At high volume you add queues, caching, API cost control, monitoring. For a small business this is rarely an issue, but if you have peak load, it affects the price.
4. Depth of "intelligence"
Simple rule-based automation (if-this-then-that) is cheaper than a solution where the AI genuinely "understands" free text, makes decisions in context, works with documents or voice. The more creative/language work the model takes on, the more expensive — but also the more valuable.
A core principle we follow: if a task can be solved with plain deterministic code (a script plus a schedule), we do not put AI there. AI costs money on every call. Reminders, template-based digests, status monitoring — that's $0-logic on scripts. We reserve AI for where there's genuine text understanding and decision-making. This directly saves your budget.
5. Post-launch maintenance
A one-off build is one number. But models get updated, APIs change, the business grows. Support (monthly maintenance, small fixes, monitoring) is a separate, usually small line item worth budgeting from day one instead of panicking six months later.
Table: task type → range → timeline
To turn all of this into specifics — here's an indicative matrix. Numbers are MaxICo Labs starting ranges for the EU/US market; timelines are working days given normal access to your systems.
| Task type | Example | Range (from) | Rough timeline |
|---|---|---|---|
| Automating 1 process | Parse leads → sheet, auto-reminders | from $600 | 3–7 days |
| Chatbot / AI agent | Bot on Telegram/site: FAQ, lead qualification | from $1,000 | 1–2 weeks |
| Bot + CRM | Bot creates deals, updates statuses, pulls history | from $2,000 | 2–3 weeks |
| Platform / custom CRM | Portal, roles, dashboards, internal automations | from $3,000 | 3–4 weeks+ |
| Team training | Workshop + playbooks for your processes | from $1,000 | 2–5 days |
| From-scratch enterprise custom | Full system with security dept, legal | $20,000+ (market numbers, not ours) | 2–3 months+ |
That last row matters. Yes, on the market a from-scratch custom build starts at $20,000 and easily reaches six figures. That's not markup — it's the real cost of enterprise integration. But 90% of small and mid-sized business needs are covered by our $600–$3,000 ranges, because we assemble from ready, proven blocks instead of reinventing the wheel for every client.
A worked example: what a "client booking bot" costs
Enough abstraction — let's price something concrete. A client wants a Telegram bot that takes service bookings.
- Base version (bot replies, shows slots, records the booking to a sheet): one process + one integration → closer to $1,000.
- With CRM (bot creates the contact and deal in your CRM, sends a day-ahead reminder): +integration, +logic → from $2,000.
- With payment and multiple channels (same bot on Telegram + Instagram + website, taking a deposit): 3 channels + payments + CRM → $3,000–4,000.
The gap between $1,000 and $4,000 here isn't "greed" — it's exactly the number of processes and integrations. Now, looking at the table above, you can estimate where your task lands.
Market vs us: an honest comparison
To avoid empty claims:
- Custom chatbot from scratch: market — $8,000–25,000 for a complex agent from a large integrator. Us — from $1,000 for a bot that solves the same business task.
- Custom CRM/platform: market — $40,000–200,000+ for enterprise development. Us — from $3,000 for a system tailored to small/mid-sized business processes.
- Process automation: the market often sells this "as a package" from $4,000. Us — from $600 for one clear scenario.
We don't compete with integrators over enterprises — and we say so plainly. We cover the real needs of businesses that want a result for a reasonable amount, not a system built for a budget the size of a startup round.
GDPR and data: what to account for
For EU-facing businesses, one factor affects both cost and design: data handling. If your automation touches personal data (customer names, emails, chat history), it has to be GDPR-compliant — lawful basis, data minimization, the right to erasure, a processing record. In practice this means we choose where data is stored and processed, avoid sending anything unnecessary to third-party models, and document the data flow. It's not a huge line item, but it's real, and we build it in from the start rather than retrofitting it after an audit.
How MaxICo Labs solves this
We're an applied-AI studio: we take your task and drive it to a working result, not a presentation.
- We start with the process, not the technology. First we look at what hurts and what's actually worth automating. Often half the tasks are covered by a $0-logic script — and we say so honestly instead of selling AI where it isn't needed.
- Fixed starting ranges, clear upfront: process automation — from $600, chatbot/AI agent — from $1,000, bot + CRM — from $2,000, platform/custom CRM — from $3,000, team training — from $1,000.
- Assembled from proven blocks. That's why our timelines are days and weeks, not months, and the price is several times lower than a from-scratch custom.
- We test for real. The bot goes through end-to-end verification before delivery: not "should work," but "tested and working."
- Post-launch support. Small fixes, monitoring, updates — so the solution keeps living instead of breaking on the first API change.
More about the service is on the AI business automation page: a list of typical tasks and engagement formats.
Where to start
The best move isn't to guess the price tag — it's to spend 15 minutes breaking your task down into processes and integrations. Then the range becomes a concrete number.
Message Valerii in chat — describe briefly what you want to automate, and we'll come back with an indicative range and timeline. Or leave a request on the service page and we'll call and estimate together. No commitment: first we'll tell you what's even worth doing with AI, and what's cheaper to cover with a simple script.