How Much Does a Custom AI Agent Cost in 2026? Real Price Ranges in USD, EUR and PEN
TL;DR
A custom AI agent typically costs 6,000 to 12,000 USD to build and 400 to 1,200 USD per month to run, for a standard lead qualification or support agent. Simple builds cost less, deep CRM and BI integrations cost more. The right question is not the rate: it is what the agent returns once it runs.estimate, to be confirmed
Why agencies will not just tell you the price
Vague pricing protects the agency's negotiating position, not yours. From where the buyer sits, opacity is a red flag: if a vendor cannot explain what drives the price, they are anchoring you, not scoping you. So here are our real starting ranges, in plain numbers, with the logic behind them.
One principle runs through everything below: we do not price hours, we price outcomes. The number that should drive your decision is what the agent saves or earns once it runs: the resolution rate it lifts, the cost per ticket it removes, the meetings it books. A timesheet tells you none of that.
Indicative price ranges in 2026
These are the same starting ranges as on our pricing page, shown without IGV. Every project is confirmed on a scoped quote.
All figures are indicative starting pointsestimate, to be confirmed
| Service | Build, from (USD) | Recurring |
|---|---|---|
| AI audit and roadmap | 1,500 to 3,500 | one shot, deductible from your first project |
| Custom conversational agent | 6,000 to 12,000 | run 400 to 1,200 per month |
| Dashboards and BI | 5,000 to 10,000 | support 600 to 1,500 per month |
| Process automation | 3,500 to 8,000 per workflow | retainer 800 to 2,500 per month |
| API integration | 1,500 to 5,000 per integration | maintenance 15 to 25 percent per year |
For market context: the 2026 benchmark published by Kellton puts a serious support build with retrieval at 8,000 to 25,000 USD, and complex CRM plus analytics agents at 75,000 USD and beyond at the US high end. The 2026 cost guide published by Destilabs reports 1,500 to 5,000 USD for a simple single purpose agent, with run costs that climb with conversation volume. Those references show the ceiling; our grid shows where we start.
Tax note for Peru: Peruvian clients pay 18 percent IGV on top of listed prices. For foreign clients, when the engagement is declared to SUNAT as exportación de servicios, IGV is 0 percent. We confirm the treatment on every quote.
Infrastructure (model tokens, hosting, databases) is billed as transparent pass-through, at cost, outside our service margin. With prompt caching, the model cost of a typical qualification conversation lands around a few US centsestimate, to be confirmed
What actually moves the price
- 1
Scope of action.
An agent that only answers questions is cheap. An agent that qualifies, books meetings, writes to your CRM and escalates to a human is a different system: every action it can take in another tool is real integration work.
- 2
Number and messiness of integrations.
One clean, documented API connects fast. A legacy CRM, WhatsApp Business, a calendar and a data warehouse, each with its own auth and its own quirks, is where the budget actually goes.
- 3
Data quality.
If your knowledge base is clean, retrieval is straightforward. If it lives in scattered PDFs, spreadsheets and inboxes, someone has to consolidate it first, and that work belongs in the quote, not in a surprise invoice.
So a 5,000 USD build and a 200,000 USD build can both be honest: they are not the same product. Anyone quoting a flat number before understanding your scope is guessing, and you will pay for the guess later.
The hidden costs of no-code platforms
No-code tools are a legitimate way to start. They are also where budgets quietly leak. Four costs the demo never shows:
Rent that scales with your success.
Per conversation or per seat pricing grows exactly when the tool starts working. The better it performs, the more you pay, forever.
Lock-in.
Flows can rarely be exported. Leaving the platform means rebuilding from zero, and that rebuild is a real budget line, typically of the same order of magnitude as a fresh build.
Tool stacking.
A chatbot tool, plus an automation tool, plus a form tool, plus a database, each with its own subscription, its own limits and its own failure modes. The monthly total grows faster than any single line suggests.
The last mile.
The demo takes a day. Writing reliably to your CRM, handling edge cases, logging and monitoring in production is where no-code runs out of road, and where the project either becomes custom or quietly dies.
A custom agent built on raw model APIs costs more upfront and less over time, because you own it: no per conversation tax, no platform to outgrow, and one wire to change when the AI landscape shifts.
How we frame the price as ROI, a support example
Take an automated support agent plus a real-time dashboard, the kind of system our team has shipped for the European telecom operator Onoff Telecom.
Delivered by our team through its European experience (Evolution Agency, France). Shown here to demonstrate capability, not as a Revolution Agency engagement.
The math is parameterized, never invented. If the agent absorbs 50 to 70 percent of repetitive level 1 requests, the monthly saving is the absorbed volume multiplied by the saving per ticket; published benchmarks from LiveChatAI and Teneo put a human support interaction at roughly 6 to 15 USD.estimate, to be confirmed
On meaningful volume, that model implies a 6,000 to 12,000 USD build pays back in months, not years. Replace every input with your real figures: that is exactly what the free audit does.estimate, to be confirmed
When you should not build an AI agent
The most honest line in this article: sometimes the right answer is no agent, or not yet.
Your volume is low.
If you get a handful of inquiries a week, a clean FAQ page and a fast human reply beat any agent, at zero build cost.
There is nothing to act on.
No CRM, no calendar discipline, no defined process: an agent would automate chaos. Fix the process first, then automate it.
Your data is not ready.
If your knowledge lives in scattered PDFs and old inboxes, the agent will confidently improvise your business. Do the data work first.
A scripted chatbot genuinely covers your case.
For pure FAQ traffic with no action behind it, a simple bot is cheaper and honest. We wrote a whole article on that exact line.
Our paid audit sometimes concludes exactly that: not yet. It is deductible from your first project, and 'do not build this yet' is a deliverable we are happy to ship. It is what makes the rest of our numbers credible.
FAQ
What is the cheapest way to get started with AI agents?
An AI audit and roadmap, 1,500 to 3,500 USD (indicative range), scoped in 2 to 3 weeks and deductible from your first signed project. You get a ranked roadmap with an ROI estimate per item, and a clear 'not yet' where the math does not work.
What does it cost to run an AI agent per month?
Typically 400 to 1,200 USD per month (indicative range) for our service: monitoring, tuning, evolution. Infrastructure is billed at cost as pass-through. The run line is never a black box: you see what is our work and what is third party cost.
Do I pay IGV on an AI agent in Peru?
Peruvian clients pay 18 percent IGV on top of the listed price. Foreign clients pay 0 percent IGV when the work is declared to SUNAT as exportación de servicios. We confirm the treatment on each quote.
Why does one vendor quote 5,000 USD and another 200,000 USD?
Because they are rarely quoting the same product. Price is driven by scope of action, the number and messiness of integrations, and data quality. A FAQ bot and a fully integrated agent that books meetings and writes to your CRM are different systems, even when both are called an AI agent.
Related reading
AI Agent vs Chatbot: Why a Scripted Bot Loses You LeadsGet a real number for your case
The free AI audit gives you a scoped estimate framed in ROI: what to build first, what it should return, and an honest no where it does not add up.
Corentin Pinel, co-founder
Published June 10, 2026