How much does a custom AI agent cost in 2026?
In Europe in 2026, a production-grade custom AI agent typically costs €50,000–€150,000. A narrow, single-workflow assistant can land between €15,000 and €50,000; multi-agent systems in regulated industries start around €150,000 and go up. The range itself says less than what drives it — most of the cost is decided by choices made before the first line of code.
The 2026 price ranges, plainly
A single-workflow assistant — one process, one or two integrations, retrieval over your own documents — is typically €15,000–€50,000. A production agent that acts inside your systems — reading and writing to your CRM or ERP, with approval gates, monitoring, and an evaluation suite — is typically €50,000–€150,000. Multi-agent systems, or anything in a regulated industry with audit and data-residency requirements, start around €150,000. These are market ranges for senior European teams; offshore quotes can be far lower, and the difference usually reappears later as rework.
What actually drives the price
Four things move the number more than anything else. Integrations: every system the agent must read from or act on adds real engineering, and legacy systems without APIs add the most. Data readiness: if your documents and records are clean and accessible, weeks disappear from the budget; if not, we build the cleanup in. Evaluation: an agent that acts on your business needs a test suite that proves it behaves — that harness is a deliverable, not overhead. And oversight: approval gates and human-in-the-loop design for the actions that must never run unattended.
The cost nobody puts in the quote: reaching production
MIT research found 95% of enterprise GenAI pilots produce no measurable P&L impact. The most expensive agent is the demo that never ships — you pay once for the pilot, then again for the rebuild when it meets real data, real users, and real edge cases. That is why our quotes always include the unglamorous parts: error handling, monitoring, evals with a go-live threshold, documentation, and handover. Production is the deliverable, not a stretch goal.
Fixed price versus day rates
Senior European day rates commonly run €700–€1,200, and on an hourly contract every unclear requirement bills more hours — around 70% of software projects run over budget (McKinsey & Oxford). We work the other way: weeks one and two are a paid scoping sprint that fixes the scope, the success metrics, and the price. The number you sign in week two is the number you pay — and if we miss the 12-week date on that scope, we keep building at no cost until it ships.
What it costs to run after launch
Two ongoing costs are honest to plan for. Model usage: the agent calls AI models as it works, and that bill scales with volume — for most single-workflow agents it is tens to a few hundred euros a month, and we architect to keep it there (caching, smaller models where they suffice). And upkeep: models, APIs, and your processes change, so agents need light ongoing attention. Support continues after launch with us, and because you own all the code and documentation, you are never locked in for it.
How to keep the cost down
Start with one workflow that has clear value — triage, drafting, reconciliation — instead of an everything-agent; narrow scope is the single biggest lever on price. Have your data and system access ready in week one. Give the project one decision-maker on your side so scoping answers arrive in hours, not weeks. And ship in 12 weeks, then extend: a live agent earning trust funds its own roadmap far better than a long speculative build.
Why is there no public price list for AI agents?
Because two projects that both sound like “an AI agent” can differ by 10× in integrations, data work, and compliance. A price list would be either misleading or padded. Instead, the two-week scoping sprint ends with a fixed quote for your exact scope — the number you sign is the number you pay.
Is a custom agent cheaper than building in-house?
For a first production agent, usually yes. An in-house AI team costs several hundred thousand euros a year before the first deliverable, and hiring takes months. A fixed-price build is live in 12 weeks, and because you own the repository, the evals, and the documentation, your own team can take it over afterwards — we stay on for support, not out of necessity.
What if an off-the-shelf tool already solves my problem?
Then that is the cheaper answer, and we will tell you so in the first call. If a copilot subscription covers your use case, you do not need a custom build. Custom agents earn their cost when the work runs through your systems, your data, and your rules — where off-the-shelf tools stop.