Free tool
AI agent cost calculator
Answer six questions to estimate what an AI agent, chatbot or voice agent costs to build, how long it takes and what it costs to run each month.
CRM, ERP, helpdesk, calendar, payments, databases, internal APIs.
estimated build cost
USD 33,000 to USD 67,000
- timeline
- 6 to 14 weeks
- running cost
- USD 250 to USD 1,200 / month
what drives your number
- Data preparation and cleanup add time before the agent can be trusted.
Typical market estimate, not a quote. Running cost covers hosting and AI model usage; it excludes optional support. Your own figure depends on scope, which a short call pins down.
How the estimate works
Every AI agent project starts from the kind of agent: a question-answering assistant over your documents, an agent that completes one workflow with your tools, or a multi-agent system with approvals and governance. Each has a typical starting range.
The calculator then adds the work that really drives cost: each system integration, each extra channel such as WhatsApp or voice, extra languages, data cleanup, and the controls that regulated or high-risk uses need. Running cost combines hosting with AI model usage at your monthly volume.
For the full breakdown, read our guide How much does an AI agent cost? or see what goes into AI agent development.
Questions
How accurate is this AI agent cost calculator?
It gives a typical market range based on the factors that drive most AI agent projects: the type of agent, integrations, channels, languages, data readiness and regulation. It is a planning estimate, not a quote. A short scoping call turns it into a fixed price.
What does the running cost include?
Cloud hosting and AI model usage at the volume you choose, plus speech costs if you add voice. It excludes optional support and maintenance, and it assumes the system runs in your own cloud and AI accounts.
Why do integrations change the cost so much?
Each system the agent works with needs secure access, error handling, testing and logging. Integrations are usually where most of the engineering time goes, more than the AI model itself.
How can I lower the cost of an AI agent?
Start with one workflow, one channel and the systems that matter most, prove the result with a fixed-price pilot, then expand. Model routing and caching also cut running costs at higher volumes.