“What does an AI agent cost?” is the question every business owner asks the moment the word agent comes up. And the honest answer does not fit in a single number. The price depends on what the agent has to do, what data it runs on, and how often it gets used. A simple assistant costs a few thousand euros. An agent that takes actions on its own in your CRM and calendar runs into the tens of thousands. This article lays out the price the way it is actually built up: by agent type, by month of running cost, and across a full year. Want to know what an agent even is first? Read the difference between AI agents and chatbots. For the wider picture, start with our guide to AI automation for SMBs. And if you are building an agent on your own documents, an agent with RAG is your starting point.
What does an AI agent cost?
Having an AI agent built in 2026 costs roughly €1,500 to €5,000 for a simple assistant, €6,000 to €15,000 for an agent on your own data, and €12,000 to €75,000 or more for an agent that takes actions on its own. On top of that you pay monthly running costs for model tokens, hosting and maintenance. Scope and usage volume set the price, not the hourly rate alone.
| Agent type | What it does | Build cost | Lead time |
|---|---|---|---|
| Simple assistant | Answers questions, 1 task, 1 channel, off-the-shelf model | €1,500 to €5,000 | 1 to 3 weeks |
| Agent on your own data (RAG) | Searches your documents and answers with source references | €6,000 to €15,000 | 3 to 6 weeks |
| Action or workflow agent | Runs tasks in your systems: CRM, mail, scheduling | €12,000 to €30,000 | 5 to 10 weeks |
| Multi-agent or voice agent | Cooperating agents, telephony or complex logic | €30,000 to €75,000+ | 3 to 5 months |
Pricing verified 2026-07; always request a tailored quote, because scope makes or breaks the figure. These four numbers are the build cost. What comes on top each month in tokens, hosting and maintenance sits further down.
Why is the price made of two parts?
This is where an AI agent is different from a website or a regular app. You do not pay once and you are done. You pay for the build, and then every month for running it. Those running costs are mostly model tokens: every time the agent thinks or answers, it sends text to an AI model and the provider charges per chunk of text processed.
How much is that? Modern models cost a few euros per million tokens (Anthropic pricing, OpenAI pricing). A business conversation uses a couple of thousand tokens, so a single conversation usually costs you only a few cents. Sounds negligible? At ten conversations a day, yes. At five thousand conversations a month it suddenly becomes a real line item you want to estimate upfront.
And this is exactly where many projects go wrong. Gartner predicts that over 40 percent of agentic AI projects will be canceled before the end of 2027, mainly due to escalating costs and unclear returns (Gartner, June 2025). The lesson is not “do not start”, but: count the running costs from the beginning, not when the bill arrives.
What makes up the build price of an AI agent?
A €10,000 quote is not a black hole. It is made of line items you can see and steer one by one. Always ask for that breakdown. A studio that names only an end figure is hiding either inexperience or a fat buffer. The indications below are for an agent on your own data with a few integrations.
| Item | What it is | Indication |
|---|---|---|
| Discovery and scope | Defining the use case, data inventory, setting the limits | €1,000 to €3,000 |
| Agent logic and prompts | The core: instructions, reasoning steps, choice of tools | €2,000 to €6,000 |
| Knowledge base and RAG | Opening up documents, making them searchable, source references | €2,500 to €8,000 |
| Per integration or tool | A link the agent may use: CRM, mail, calendar | €1,500 to €4,000 |
| Guardrails and testing | Limits, checks against made-up answers, GDPR check | €1,500 to €5,000 |
| Channel: chat, web or voice | Where the agent lives: widget, Teams, Slack or telephony | €1,000 to €6,000 |
What stands out: the guardrails and testing are not an afterthought. An agent that talks to customers or to your own data must invent nothing and leak nothing. Doing that part well is the difference between a demo that looks nice and an agent you actually dare to let loose on your business.
What does an AI agent cost per month to run?
The monthly cost is the part people forget to budget. It is made of four items: model tokens, hosting, a vector database if you use RAG, and monitoring to see whether the agent behaves. What you pay scales almost entirely with usage.
| Item | Low usage | High usage |
|---|---|---|
| Model tokens | €30 | €400 |
| Hosting and infra | €25 | €150 |
| Vector database (RAG) | €0 | €80 |
| Monitoring and tooling | €20 | €120 |
| Per month | €75 | €750 |
Low usage is an internal agent for a team of twenty. High usage is a customer-facing agent with thousands of conversations a month. Want to trim those token costs? Make smart choices: a cheaper model for simple steps and a stronger model only where it matters. If you run on n8n, the choice between self-hosting or managed sets a big part of your fixed monthly bill.
Self-build, a subscription, or custom?
There are roughly three routes to a working agent, and they differ hugely in price and in what you get back. The cheapest is not always the leanest, because a subscription that almost fits still costs you hours of workarounds.
| Route | Setup cost | Monthly cost | When it is the right call |
|---|---|---|---|
| Off-the-shelf (Copilot, ChatGPT Team) | Low | €20 to €30 per user | General assistance, no own process or data |
| No-code (n8n, Botpress, Voiceflow) | €500 to €4,000 | €20 to €100 + tokens | Validating an idea, simple agent, internal use |
| Custom (studio) | €6,000 to €75,000+ | tokens + hosting + maintenance | Own data, real actions, scale and ownership |
Torn between an off-the-shelf tool and building your own? That choice often sets your whole budget. We worked it out separately in no-code vs custom automation. In short: validate cheaply with no-code, and only build custom once a test has proven that people actually use the agent.
What drives the cost of an AI agent up or down?
Six things set the price in nearly every quote: the number of actions and integrations, whether the agent runs on your own data, the usage volume, the guardrails and compliance, the channel (chat is cheap, voice the most expensive), and the ongoing maintenance. The studio’s brand name does not set the figure; these six dials do.
- Number of actions and integrations. An agent that only answers is cheap. An agent that runs tasks in five systems costs €1,500 to €4,000 per link.
- Own data and RAG. Running on your own documents with source references needs a knowledge base and extra infra. That is added work, but often the whole point of the agent.
- Usage volume. Ten conversations a day or five thousand a month: the same design, a completely different token bill.
- Guardrails and compliance. Working with personal data brings GDPR checks and tighter limits. Needed, but not free.
- Channel. A chat widget is cheap. A voice agent with telephony is the most expensive variant, because of the speech layer and the real-time demands.
- Maintenance. Models change, prompts wear out, data shifts. Budget for ongoing tuning, not a one-time handover.
Agentic AI is no longer niche: Gartner expects that by 2028 around 33 percent of enterprise software will include a form of agentic AI, up from less than 1 percent in 2024 (Gartner). That means the tooling is maturing and getting cheaper fast, but also that the scope you choose keeps making the difference.
What does an AI agent cost over a full year?
Single figures say little. What matters is the total cost over a year, build and running together. A worked example makes it concrete. Say you have an agent built on your own data for €10,000, with a few hundred conversations a month.
| Cost item | Year 1 | Notes |
|---|---|---|
| One-time build | €10,000 | Discovery, RAG, integrations, guardrails |
| Model tokens | €1,200 | About €100 a month at a few hundred conversations |
| Hosting and vector db | €900 | About €75 a month |
| Maintenance and tuning | €1,500 | About 15 percent of the build price |
| Year 1 total | €13,600 | Build is about 74 percent of the total |
The build cost here is three quarters of year one. In year two the build drops away and only the running and maintenance costs remain, roughly €3,600. Whether that is worth it depends on what the agent delivers. If it saves your team five hours a week of lookups or manual mailing, it pays back within half a year. That is how you work it out in calculating automation ROI. For the wider method behind all our custom work, everything is broken out in our price guide for custom software.
How do you keep an AI agent’s cost down?
Start with one use case, validate cheaply with no-code first, pick the right model per task, limit your integrations to what you truly need, ask for a fixed price on a clear scope and demand ownership of your setup. That way you do not trade quality to hit your budget. You only make sharp choices, in this order.
- Start with one use case. Build the single task that truly costs time and test it, rather than a do-everything agent at once. That saves half your starting budget.
- Validate with no-code. A cheap test with n8n or Botpress shows whether people use the agent before you pay for custom.
- Pick the right model per task. A cheap model for simple steps, a stronger model only where it matters. That trims the token bill a lot.
- Limit your integrations. Every link costs money. On day one, connect only what you genuinely need.
- Ask for a fixed price on a clear scope. Then the price risk sits with the studio, not with you.
- Demand ownership of your setup. Prompts, code and data stay yours, so you can switch later without paying ransom.
How do you actually get started?
Start small and sharp. A discovery of one to two weeks costs €1,000 to €3,000 and produces a clear picture: which task, which data, which limits, and an honest price indication. That document is your insurance against apples-to-pears comparisons and against hidden extras later. What such an agent looks like in practice, you can see in our AI chat at Planit Consulting, which makes 18,429 documents searchable with source references. More examples are in our real-world AI automation examples.
Book a free intake call. In thirty minutes we look at your process, give an honest price indication, and tell you which type of agent fits your goal and budget. With or without working together, you walk away with a clear picture.
